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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          JOR_HEIS_2006_HD_V1.0
        </titl>
        <IDNo>
          JOR_2006_HEIS_HD_V2.0
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="ERF" role="Cleaning and harmonizing raw data received from the Statistical Agency">
          Economic Research Forum
        </producer>
        <prodDate date="2014-01">
          2014-01
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 2.0
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Household Expenditure and Income Survey, HEIS 2006
        </titl>
        <altTitl>
          HEIS 2006
        </altTitl>
        <IDNo>
          JOR_2006_HEIS_HD_V2.0
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Economic Research Forum
        </AuthEnty>
        <AuthEnty affiliation="The Hashemite Kingdom of Jordan">
          Department of Statistics
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) 2014, Economic Research Forum | (c) 2006, Department of Statistics, The Hashemite Kingdom of Jordan
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact URI="www.erf.org.eg" email="erfdataportal@erf.org.eg">
          Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Income/Expenditure/Household Survey [hh/ies]
        </serName>
        <serInfo>
          The Department of Statistics in Jordan, since established, conducted a series of Expenditure and Income Surveys during the years 1966, 1980, 1986/1987, 1992, 1997, 2002/2003 and 2006/2007.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2014-01">
          <![CDATA[V1.0: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.

V2.0: A cleaned and a harmonized version of the survey dataset, including all variables in V1.0 in addition to a number of new/detailed-composite coded version of the variables considered essential on the household as well as the individual level, produced by the Economic Research Forum for dissemination.]]>
        </version>
        <notes>
          <![CDATA[All documentation available for the original survey provided by the Statistical Agency, and for the harmonized datasets produced by the Economic Research Forum, has been published, along with a copy of all international classifications of expenditures, occupations and economic activities used during the harmonization process.  
However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions in both SPSS and STATA formats.]]>
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="ERF">
          Poverty
        </topcClas>
        <topcClas vocab="ERF">
          Expenditure
        </topcClas>
        <topcClas vocab="ERF">
          Income
        </topcClas>
        <topcClas vocab="ERF">
          Infrastructure
        </topcClas>
        <topcClas vocab="ERF">
          Education
        </topcClas>
        <topcClas vocab="ERF">
          Labor
        </topcClas>
        <topcClas vocab="ERF">
          Health
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[
<p style="border:solid thin black;"> THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 25% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN </p> 

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing household surveys in several Arab countries.]]>
      </abstract>
      <sumDscr>
        <collDate date="2006" event="start" cycle="-"/>
        <collDate date="2007" event="end" cycle="-"/>
        <nation abbr="JOR">
          Jordan
        </nation>
        <geogCover>
          <![CDATA[The survey sample is covering the urban and rural regions in the following governorates:
Amman, Al-Balqa, Az Zarqa, Madaba, Irbid, Al-Mafraq, Jerash, Ajloun, Al-Karak, Al-Tafilah, Maan, and Al-Aqaba]]>
        </geogCover>
        <anlyUnit>
          <![CDATA[1- Household/family.
2- Individual/person.]]>
        </anlyUnit>
        <universe>
          The survey covered a national sample of households and all individuals permanently residing in surveyed households.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[Household: Includes geographic, social, and economic characteristics of households, namely, household composition, dwelling characteristics, ownership of assets indicators, heads' and spouses' characteristics, annual household expenditure and income.

Individual:  Includes demographic, migration, education, labor and health characteristics, as well as annual income for household members identified as earners. Moreover, fathers' and mothers' characteristics are generated for household members if possible.]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="DOS" affiliation="The Hashemite Kingdom of Jordan">
          Department of Statistics
        </dataCollector>
        <sampProc>
          <![CDATA[
<p style="border:solid thin black;"> THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 25% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN </p>]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[List of questionnaires:

1- General Questionnaire
2- Food Questionnaire
3- Non-Food Questionnaire]]>
        </resInstru>
        <sources/>
        <cleanOps>
          <![CDATA[Raw Data
==========



Harmonized Data
===============
- The Statistical Package for Social Science (SPSS) is used to clean and harmonize the datasets.
- The harmonization process starts with cleaning all raw data files received from the Statistical Agency.
- Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization.
- A country-specific program is generated for each dataset to generate/compute /recode/rename/format/label harmonized variables.
- A post-harmonization cleaning process is then conducted on the data.
- Harmonized data is saved on the household as well as the individual level, in SPSS and converted to STATA format.]]>
        </cleanOps>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement. 

The data will be used only for scholarly research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.]]>
        </confDec>
        <contact affiliation="(ERF)" URI="www.erf.org.eg" email="erfdataportal@erf.org.eg ">
          Economic Research Forum
        </contact>
        <citReq>
          <![CDATA[The users should cite the Economic Research Forum and the Department of Statistics of The Hashemite Kingdom of Jordan as follows:

OAMDI, 2014. Harmonized Household Income and Expenditure Surveys (HHIES), http://www.erf.org.eg/cms.php?id=erfdataportal. Version 2.0 of Licensed Data Files; HEIS 2006 - Department of Statistics (DOS), The Hashemite Kingdom of Jordan. Egypt: Economic Research Forum (ERF).]]>
        </citReq>
        <conditions>
          Licensed datasets, accessible under conditions.
        </conditions>
        <disclaimer>
          The Economic Research Forum and the Department of Statistics in The Hashemite Kingdom of Jordan have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F10" URI="JOR_HEIS_2006_HD_V2.0.Nesstar?Index=0&amp;Name=Jordan06-HH-V2">
    <fileTxt>
      <fileName>
        Jordan06-HH-V2.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The household data file contains generated household level harmonized variables, subject to availability, covering the following categories:
·	File identification 
·	Geographical characteristics 
·	Household composition
·	Dwelling characteristics 
·	Ownership of durables, livestock and land
·	Head's and spouse's characteristics
·	Annual household expenditure
·	Annual household income

The household unique identifier is the variable: CASESER]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F11" keyvar="V2171"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          2897
        </caseQnty>
        <varQnty>
          236
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F11" URI="JOR_HEIS_2006_HD_V2.0.Nesstar?Index=1&amp;Name=Jordan06-IND-V2">
    <fileTxt>
      <fileName>
        Jordan06-IND-V2.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The individual data file contains generated individual level harmonized variables, subject to availability, enveloped in the following categories:
·	File identification 
·	Geographical characteristics 
·	Demographics
·	Father's and mother's characteristics
·	Nationality and immigration 
·	Education
·	Health
·	Labor 
·	Annual individual income 

The household unique identifier is the variable: CASESER
The individual unique identifier is the variable: PNUM]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F10" keyvar="V2407 V2411"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          16936
        </caseQnty>
        <varQnty>
          64
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="section" varGrp="VG3 VG4 VG5 VG6 VG7 VG8 VG9 VG10 VG11">
      <labl>
        Household
      </labl>
    </varGrp>
    <varGrp ID="VG2" type="section" varGrp="VG12 VG13 VG14 VG15 VG16 VG17 VG18 VG19 VG20 VG21">
      <labl>
        Individual
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V2169 V2170 V2171 V2172">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V2173 V2174">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V2175 V2176 V2177 V2178 V2179 V2180 V2181 V2182">
      <labl>
        Household composition
      </labl>
      <defntn>
        Gives information on the household composition and characteristics such as the number of children, their age and gender.. The dwelling conditions the access to public facilities …
      </defntn>
    </varGrp>
    <varGrp ID="VG6" type="subject" var="V2183 V2184 V2185 V2186 V2187 V2188 V2189 V2190 V2191 V2192 V2193">
      <labl>
        Dwelling characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG7" type="subject" var="V2194 V2195 V2196 V2197 V2198 V2199 V2200 V2201 V2202 V2203 V2204 V2205 V2206 V2207 V2208 V2209 V2210 V2211 V2212 V2213 V2214 V2215 V2216 V2217 V2218 V2219 V2220 V2221 V2222 V2223 V2224 V2225 V2226 V2227 V2228 V2229 V2230 V2231">
      <labl>
        Ownership of assets
      </labl>
    </varGrp>
    <varGrp ID="VG8" type="subject" var="V2232 V2235 V2238 V2239 V2240 V2241 V2244 V2247 V2250 V2253 V2256 V2259 V2262 V2265 V2268 V2271 V2274 V2277 V2280">
      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG9" type="subject" var="V2233 V2234 V2236 V2237 V2242 V2243 V2245 V2246 V2248 V2249 V2251 V2252 V2254 V2255 V2257 V2258 V2260 V2261 V2263 V2264 V2266 V2267 V2269 V2270 V2272 V2273 V2275 V2276 V2278 V2279 V2281 V2282">
      <labl>
        Spouses' characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V2283 V2284 V2285 V2286 V2287 V2288 V2289 V2290 V2291 V2292 V2293 V2294 V2295 V2296 V2297 V2298 V2299 V2300 V2301 V2302 V2303 V2304 V2305 V2306 V2307 V2308 V2309 V2310 V2311 V2312 V2313 V2314 V2315 V2316 V2317 V2318 V2319 V2320 V2321 V2322 V2323 V2324 V2325 V2326 V2327 V2328 V2329 V2330 V2331 V2332 V2333 V2334 V2335 V2336 V2337 V2338 V2339 V2340 V2341 V2342 V2343 V2344 V2345 V2346 V2347 V2348 V2349 V2350 V2351 V2352 V2353 V2354 V2355 V2356 V2357 V2358 V2359 V2360 V2361 V2362 V2363 V2364 V2365 V2366 V2367 V2368 V2369 V2370 V2371 V2372 V2373 V2374 V2375 V2376 V2377 V2378 V2379 V2380 V2381 V2382 V2383 V2384 V2385 V2386 V2387 V2388 V2389 V2390 V2391 V2392 V2393 V2394 V2395 V2396">
      <labl>
        Expenditure
      </labl>
      <defntn>
        <![CDATA[Including annual amounts of consumption expenditures; if possible split following the COICOP international standard classification).

All expenditure variables are recorded as yearly amounts. Amounts are annualized if not provided as such in original data. 
Annual expenditure amounts should be reported in country national currency.

Due to lack of details in many datasets, ERF constructs the expenditure variables, even if not all of the items are available. Any taxes included in the expenditure variables are deducted if possible. 

A check for outliers is necessary before conducting any analysis on the expenditure data. Extreme cases were detected in the original variables; however the appropriate method to deal with it was left to the user's judgment.]]>
      </defntn>
    </varGrp>
    <varGrp ID="VG11" type="subject" var="V2397 V2398 V2399 V2400 V2401 V2402 V2403 V2404">
      <labl>
        Income
      </labl>
      <defntn>
        <![CDATA[Including when possible annual amounts of earnings from labor and the contributions paid on them, capital income and property, taxes, social insurance benefits, social assistance benefits and other (private) transfers

All income variables are recorded as yearly amounts. ERF annualizes the amounts, if not provided as such in original data. 
Annual income amounts should be reported in country national currency.

As a rule, household-level income amounts are derived by summing the individual-level values for all individuals in the household. When individual data are not available, reported household amounts are used and these cases will be noted in the country-specific documentation. Where the household income variables are directly calculated from person-level income variables, these formulations are shown below, as are those instances when the variable is created by summing sub-categories within the household data.

A check for outliers is necessary before conducting any analysis on the income data. Extreme cases were detected in the original variables; however the appropriate method to deal with it was left to the user's judgment.]]>
      </defntn>
    </varGrp>
    <varGrp ID="VG12" type="subject" var="V2405 V2406 V2407 V2408 V2411">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG13" type="subject" var="V2409 V2410">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V2412 V2413 V2414 V2415 V2416 V2417">
      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V2418 V2420 V2422 V2424 V2426 V2428 V2430 V2432 V2434 V2436 V2438 V2440 V2442 V2444 V2446 V2448">
      <labl>
        Father's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V2419 V2421 V2423 V2425 V2427 V2429 V2431 V2433 V2435 V2437 V2439 V2441 V2443 V2445 V2447 V2449">
      <labl>
        Mother's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG17" type="subject" var="V2450 V2451">
      <labl>
        Nationality and Immigration
      </labl>
    </varGrp>
    <varGrp ID="VG18" type="subject" var="V2452 V2453 V2454 V2455 V2456 V2457 V2458">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG19" type="subject">
      <labl>
        Health
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V2459 V2460 V2461 V2462 V2463 V2464 V2465 V2466 V2467 V2468">
      <labl>
        Labour
      </labl>
    </varGrp>
    <varGrp ID="VG21" type="subject">
      <labl>
        Income
      </labl>
      <defntn>
        <![CDATA[All income variables are recorded as yearly amounts. ERF annualizes the amounts, if not provided as such in original data. 

Annual income amounts should be reported in country national currency.

Non-existing social benefits or other income sources are recorded as 0.

A check for outliers is necessary before conducting any analysis on the income data. Extreme cases were detected in the original variables; however the appropriate method to deal with it was left to the user's judgment.]]>
      </defntn>
    </varGrp>
    <var ID="V2169" name="COUNTRY" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
      </txt>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          2897
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both  the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF.]]>
      </notes>
    </var>
    <var ID="V2170" name="YEAR" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey Year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2006" max="2006"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2006
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF.]]>
      </notes>
    </var>
    <var ID="V2171" name="CASESER" files="F10" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="15" width="8" RecSegNo="1"/>
      <labl>
        Unique unit identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="11100311" max="34200502"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        11100311
      </sumStat>
      <sumStat type="max">
        34200502
      </sumStat>
      <sumStat type="mean">
        15996739.195
      </sumStat>
      <sumStat type="stdev">
        6884952.021
      </sumStat>
      <txt>
        Sequential anonymous household identifier usually provided in the dataset
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and person file and is necessary when merging the two files. This identifier is unique only within each country/year dataset; when combining different countries or years it is necessary to use it in combination with the variables COUNTRY and YEAR in order to uniquely identify households.
When merging household and individual level files from the same dataset, use this variable to link each individual to the right household.

COUNTRY SPECIFIC NOTES
----------------------------------
A unique HH identifier is generated using the variables, gov, dist, sub, cis_num, and hh_num]]>
      </notes>
    </var>
    <var ID="V2172" name="HWEIGHT" wgt="wgt" files="F10" dcml="4" intrvl="contin">
      <location StartPos="16" EndPos="24" width="9" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="49" max="2632.664"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        49
      </sumStat>
      <sumStat type="max">
        2632.664
      </sumStat>
      <sumStat type="mean">
        325.912
      </sumStat>
      <sumStat type="stdev">
        253.006
      </sumStat>
      <txt>
        Data provider household weight
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. 
We strongly recommend that all statistical analysis be performed using the data weights


COUNTRY SPECIFIC NOTES
----------------------------------
2 weight variables were provided with Jordan 2006 Household data; wts1 and wts. Compared to 2002 data, wts variable will be kept to weigh the data, since it is the one merged to the rest of the data files provided within the same data set as well (food, non-food, ….).]]>
      </notes>
    </var>
    <var ID="V2173" name="REG" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="11" max="34"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Amman
        </labl>
        <catStat type="freq">
          1544
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          376372.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Al-Balqa
        </labl>
        <catStat type="freq">
          119
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Az Zarqa
        </labl>
        <catStat type="freq">
          213
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          146432.192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Madaba
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23930.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Irbid
        </labl>
        <catStat type="freq">
          426
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          165257.368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Al-Mafraq
        </labl>
        <catStat type="freq">
          154
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42912.528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Jerash
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25999.008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Ajloun
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20040
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Al-Karak
        </labl>
        <catStat type="freq">
          115
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36706.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Al-Tafilah
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13272.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Maan
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Al-Aqaba
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16551.072
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2174" name="RURURB" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          611
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          152693.152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          2286
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          791474.632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case the country has refugee camps (as in Palestine), the "refugee camp" category is coded "2"


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2175" name="HNUM" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        Number of persons
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="21"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        21
      </sumStat>
      <sumStat type="mean">
        5.846
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        5.788
      </sumStat>
      <sumStat type="stdev">
        2.543
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2.465
      </sumStat>
      <txt>
        Total number of persons in the household (including children or any other individuals not included in individual-level survey for any reason)
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18060.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          210
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          65079.388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          256
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84659.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          361
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121815.104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          472
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          161323.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          447
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          148249.328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          417
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          137486.992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          267
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85857.448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          191
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60223.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30777.244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11056.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10066.952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3997.28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2041.84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1643.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          408.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          860.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          228.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          331.34
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In general, summation over all individuals in the household.
If the individual file does not include all household members, the variable is constructed directly from household level original information
HNUM=FEMLNUM+MALNUM

COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2176" name="MALNUM" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        Number of Males
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="14"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        14
      </sumStat>
      <sumStat type="mean">
        2.957
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.945
      </sumStat>
      <sumStat type="stdev">
        1.725
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.678
      </sumStat>
      <txt>
        Total number of Males in the household (including children)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38737.84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          150238.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          676
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219673.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          631
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          215064.888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          492
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166030.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          278
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89472.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          136
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39008.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16708.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5051.732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1500.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1886.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          463.884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          331.34
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2177" name="FEMLNUM" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="32" EndPos="33" width="2" RecSegNo="1"/>
      <labl>
        Number of Females
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="11"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11
      </sumStat>
      <sumStat type="mean">
        2.889
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.843
      </sumStat>
      <sumStat type="stdev">
        1.579
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.554
      </sumStat>
      <txt>
        Total number of females in the household (including children)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1819.416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          558
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          189559.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          784
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          259294.604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          703
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          226161.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          423
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          133064.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          241
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          79387.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          104
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31901.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11606.512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7903.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2559.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          840.764
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2178" name="CH14" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Number of persons under age 14
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12
      </sumStat>
      <sumStat type="mean">
        2.014
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.017
      </sumStat>
      <sumStat type="stdev">
        1.855
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.813
      </sumStat>
      <txt>
        Number of persons under age 14 living in the household
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          896
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          280705.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          418
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          144420.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          456
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          145861.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          478
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          165181.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          342
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          112679.072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66083.464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18009.528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6853.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4204.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69.168
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This includes (ever) married children as well as heads and spouses under fourteen .
If the individual file does not include all household members, the variable is constructed directly from household level original information


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2179" name="NUM65" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Number of persons aged 65 or more
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3
      </sumStat>
      <sumStat type="mean">
        0.229
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.216
      </sumStat>
      <sumStat type="stdev">
        0.515
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.502
      </sumStat>
      <txt>
        Number of household members aged 65 or more including head and spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          2362
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          779800.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          408
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          125400.384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          126
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38775.212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
If the individual file does not include all household members, the variable is constructed directly from household level original information


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2180" name="HCOMP" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Household composition
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates the composition of the household with the number of adults and of children using standardized family models: 2 adults no children, 2 adults 1-2 children etc..
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1-2 adults, no child
        </labl>
        <catStat type="freq">
          265
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81916.732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1-2 adults, 1-2 children
        </labl>
        <catStat type="freq">
          340
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          120466.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          1-2 adult, 3 or more children
        </labl>
        <catStat type="freq">
          885
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          301663.284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          3 adults or more, 0-1 child
        </labl>
        <catStat type="freq">
          627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          196327.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          3 adults or more, 2-3 children
        </labl>
        <catStat type="freq">
          407
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131340.776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          3 adults or more, 4 children or more
        </labl>
        <catStat type="freq">
          373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          112453.248
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Generated by ERF
OR
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variables might not exist in all surveys and can be constructed using the information in the household and person files.
In case the variable is generated, the adult is defined as either a:
- HH member aged 18 years or older 
- HH head even if aged less than 18 years
- a married HH member even if aged less than 18 years 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2181" name="MARRIED" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Head living in couple
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Standardized code that indicates whether the head of the household has a partner and the type of partnership
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No couple present in the household
        </labl>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Married couple head and spouse
        </labl>
        <catStat type="freq">
          2462
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          813016.92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Several cohabiting spouses
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8468.784
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The head may cohabit with his mother or sister and in this case the concept of No couple applies. Another possible status is when the head has several spouses. Here a problem should exist if the spouses live in different houses so two different households may have the same head. 
Generated from individual files


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2182" name="EARN" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Number of earners
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Number of household members who receives any earnings.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          389
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127003.648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1652
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          544132.732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          541
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          175240.144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64731.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25247.252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4836.924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2107.348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          471.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          168.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          228.752
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Generated by ERF
OR
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
All individuals who have received any earnings during the reference period, only a subset may have been in employment at the time of the survey.
If the individual file does not include all household members, or if incomes are not available at the individual level, the variable is constructed either from other individual level variables (e.g. employment status), or directly from household level original information.
Pensioners and any individual receiving any kind of income is considered as earner. 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF by summing the number of waged employees  (q520: 1 thru 3) and the number of individuals reported to be not working at the time of the survey but have a source of income (q525=3)
Unpaid workers and unpaid family workers were not counted among earners]]>
      </notes>
    </var>
    <var ID="V2183" name="INCS" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        Source of income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="50"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Main income source of the household
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Household business
        </labl>
        <catStat type="freq">
          235
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69932.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Salaries and wages
        </labl>
        <catStat type="freq">
          2095
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          704467.604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Remittances from country or abroad
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61572.94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Pensions
        </labl>
        <catStat type="freq">
          360
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          105847.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2347.104
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Generated by ERF
OR
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable may not exist in most of the surveys but can be constructed from the individual files 


COUNTRY SPECIFIC NOTES
----------------------------------
The main source of income for the household was generated using the variables indicating income per household by source of income, assuming that the maximum value of income by sources indicated is the main source of income, i.e., if the household income from wages is higher than that from household business, then the main source of income is assumed to be wages and salaries.]]>
      </notes>
    </var>
    <var ID="V2184" name="DWLTYP" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          1096
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          365496.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5561.184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          1779
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          573110.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable mainly distinguishes between villa, apartments and others 
"House" includes traditional, modern or Arabic house etc.
"Villa" includes palace, villa or a floor in a villa, duplex etc.
"Other" includes clay/reed house, primitive house, caravan etc.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2185" name="DWLTYP_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="45" width="3" RecSegNo="1"/>
      <labl>
        Type of dwelling [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="450"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          1096
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          365496.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Countryside house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Arabic house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Traditional house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Modern house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Public or part of a public house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Small house (part of a villa)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          House in an agency
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          House built in bricks or rocks or concrete
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <labl>
          One floor building
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5561.184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Villa or floor in a villa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Part of a villa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Palace
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          1779
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          573110.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          More than one apartment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          One or more separate room
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          One or more room in a housing unit
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Tent, hut, shack, slum, grotto, shebra, caravan, Barakia (ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Clay or reed house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Other place not suitable for residence
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is the detailed version of the above type of dwelling variable (DWLTYP), it mainly distinguishes between different types of houses, villas, apartments and other residential units. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2186" name="DWLTEN" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Tenure of dwelling [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          642
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          218098.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          2068
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          646231.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Provided free
        </labl>
        <catStat type="freq">
          187
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          79838.632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable distinguishes between owned or rented living quarters.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2187" name="DWLTEN_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="49" width="3" RecSegNo="1"/>
      <labl>
        Tenure of dwelling [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="430"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          642
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          218098.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Unfurnished rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Furnished rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Old law rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          New law rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Rent with key money
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          2068
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          646231.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unit owned (privately or jointly)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unit bought
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          In the process of being acquired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Mortgage with or without rent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Provided free
        </labl>
        <catStat type="freq">
          169
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74545.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Provided free by employer, by work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Subsidized rent, without payment, from work
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5293.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Gift/granted
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          In-kind benefit
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Without payment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Free agreement
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          No agreement
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Provided for work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable distinguishes between different types of owned, rented, provided free or other forms of tenure for living quarters.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2188" name="ROOM" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        12
      </sumStat>
      <sumStat type="mean">
        3.864
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3.84
      </sumStat>
      <sumStat type="stdev">
        1.312
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.284
      </sumStat>
      <txt>
        Number of rooms excluding bathroom and kitchen
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11023.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          341
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          110871.924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          871
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          286347.472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          821
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          272885.776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          521
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          168656.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          242
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74439.856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11241.472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5793.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2090.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          319.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.272
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some surveys there is no indication whether the bathroom and kitchen are counted in the number of rooms or not, we assume they are excluded 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2189" name="ELECT" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Electrified
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the dwelling is electrified or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1050.448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electrified
        </labl>
        <catStat type="freq">
          2892
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943117.336
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is often generated from the source of lighting. Using private generator is considered as electrified.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2190" name="SLIGHT" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Source of energy for lighting
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Distinguish between public and private sources of electricity and other sources of lighting
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Public network
        </labl>
        <catStat type="freq">
          2891
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          942511.824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          605.512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          271.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          778.78
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Private electricity includes community and private generators and cooperative networks
"Others" may include sources that are presented independently in the standardized value if the survey is not enough detailed (example it may include gas and kerosene) 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2191" name="SCOOK" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Source of energy for cooking
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Distinguish between different sources of energy for cooking
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          2890
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          941900.212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1842.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Wood &amp; coal
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          424.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2192" name="WAT" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Water facilities
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates from where the household get its drinking water
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Piped supply
        </labl>
        <catStat type="freq">
          2309
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          755219.92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public tap
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1668.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Well
        </labl>
        <catStat type="freq">
          101
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35586.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tanker
        </labl>
        <catStat type="freq">
          481
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          151632.328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable indicates the main source of drinking water. Piped supply includes public and private networks; public tap includes fountains and springs; wells are either with or without pumps private or public etc. Tanker includes purchased water indoor or outdoor; other includes lakes, rivers, makhzen for rainwater etc. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2193" name="TOIF" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Toilet facility
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicate whether the household has access to toilet facility
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes and connected to sewage
        </labl>
        <catStat type="freq">
          1699
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          571715.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes and not connected to sewage
        </labl>
        <catStat type="freq">
          1194
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          371417.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No facility
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1034.32
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case we don't have information on the connection to sewage system but we do know if the toilet is inside or outside the dwelling we can consider toilets outside the dwelling as not connected to sewage (option 2). 


COUNTRY SPECIFIC NOTES
----------------------------------
The households who reported a facility other than a toilet or toilets and bathrooms were added to no facility]]>
      </notes>
    </var>
    <var ID="V2194" name="CAR" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Has a car, van, taxi, cart, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a car, van, taxi, cart … or any other type of vehicles
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1734
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          591597.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          352570.096
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Private car]]>
      </notes>
    </var>
    <var ID="V2195" name="CAR_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Number of cars, vans, taxies, carts, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        1163
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        352570.096
      </sumStat>
      <sumStat type="invd">
        1734
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        591597.688
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        1.114
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.09
      </sumStat>
      <sumStat type="stdev">
        0.38
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.335
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of cars,  taxies, carts ... or any other type of vehicles the household owns or has free access to]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1054
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          325702.448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22025.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4650.596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1734
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          591597.688
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Private car]]>
      </notes>
    </var>
    <var ID="V2196" name="TELV" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="59" width="1" RecSegNo="1"/>
      <labl>
        Has a TV, LCD, LED, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a TV, LCD, LED, etc..
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16457.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2845
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          927710.34
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: TV]]>
      </notes>
    </var>
    <var ID="V2197" name="TELV_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Number of TVs, LCDs, LEDs, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        2845
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        927710.34
      </sumStat>
      <sumStat type="invd">
        52
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        16457.444
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        6
      </sumStat>
      <sumStat type="mean">
        1.108
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.107
      </sumStat>
      <sumStat type="stdev">
        0.366
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.359
      </sumStat>
      <txt>
        Indicates the number of TVs, LCDs, LEDs, etc… the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2582
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          841253.384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          228
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          76235.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8483.056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1488.872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.272
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16457.444
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: TV]]>
      </notes>
    </var>
    <var ID="V2198" name="RADIO" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="61" width="1" RecSegNo="1"/>
      <labl>
        <![CDATA[Has radio  or radio-cassette]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to a radio or  radio-cassette]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1463
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          488864.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          455303.408
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Radio or radio-cassette]]>
      </notes>
    </var>
    <var ID="V2199" name="RADIO_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        <![CDATA[Number of radios or  radio-cassettes]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        1434
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        455303.408
      </sumStat>
      <sumStat type="invd">
        1463
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        488864.376
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        5
      </sumStat>
      <sumStat type="mean">
        1.052
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.042
      </sumStat>
      <sumStat type="stdev">
        0.295
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.251
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of radios  radio-cassettes  the household owns or has free access to]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1380
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          440564.336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11423.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2598.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          557.192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1463
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          488864.376
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Radio or radio-cassette]]>
      </notes>
    </var>
    <var ID="V2200" name="SATD_REC" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Has satellite dish, receiver, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a satellite dish, receiver, etc…
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          664
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210826.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2233
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          733341.34
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Satellite dish and receiver]]>
      </notes>
    </var>
    <var ID="V2201" name="SATD_REC_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Number of satellite dishes, receivers, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        2233
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        733341.34
      </sumStat>
      <sumStat type="invd">
        664
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        210826.444
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        6
      </sumStat>
      <sumStat type="mean">
        1.027
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.028
      </sumStat>
      <sumStat type="stdev">
        0.196
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.198
      </sumStat>
      <txt>
        Indicates the number of satellite dishes, receivers etc…the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2179
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          715408.652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15872.972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1810.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.272
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          664
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210826.444
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Satellite dish and receiver]]>
      </notes>
    </var>
    <var ID="V2202" name="PLAYER" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Has DVD, VCR, CD player, audio player, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a DVD, VCR, CD player, recorder, audio player etc…
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2456
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          806194.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          441
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          137973.616
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: VCR]]>
      </notes>
    </var>
    <var ID="V2203" name="PLAYER_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Number of VCRs/CD players, audio players, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        441
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        137973.616
      </sumStat>
      <sumStat type="invd">
        2456
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        806194.168
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <sumStat type="mean">
        1.007
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.006
      </sumStat>
      <sumStat type="stdev">
        0.0823
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.0751
      </sumStat>
      <txt>
        Indicates the number of DVDs, VCRs, CD players, recorders, audio players, etc… the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          438
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          137191.796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          781.82
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2456
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          806194.168
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: VCR]]>
      </notes>
    </var>
    <var ID="V2204" name="CAMERA" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Has photo or video camera
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a photo or video camera
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2772
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          905702.708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          125
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38465.076
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Video camera]]>
      </notes>
    </var>
    <var ID="V2205" name="CAMERA_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Number of photo or video cameras
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        125
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        38465.076
      </sumStat>
      <sumStat type="invd">
        2772
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        905702.708
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <sumStat type="mean">
        1.016
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.01
      </sumStat>
      <sumStat type="stdev">
        0.126
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.101
      </sumStat>
      <txt>
        Indicates the number of photo or video cameras the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38070.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          394.82
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2772
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          905702.708
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Video camera]]>
      </notes>
    </var>
    <var ID="V2206" name="TELPH" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        Has telephone, cell phone, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a telephone, cell phone etc…
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          259
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          91225.396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2638
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          852942.388
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Landline or cell phone]]>
      </notes>
    </var>
    <var ID="V2207" name="TELPH_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        Number of telephones, cell phones, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="10"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        2638
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        852942.388
      </sumStat>
      <sumStat type="invd">
        259
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        91225.396
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.208
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.142
      </sumStat>
      <sumStat type="stdev">
        1.328
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.272
      </sumStat>
      <txt>
        Indicates the number of telephones, cell phones etc… the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          930
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          315949.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          904
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          289578.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          442
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          141343.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          171
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54413.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30683.748
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14334.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4518.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          328.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1543.684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.272
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          259
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          91225.396
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Landline or cell phone]]>
      </notes>
    </var>
    <var ID="V2208" name="FAX" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Has fax line or fax machine
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a fax line or fax machine
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2869
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          936660.54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7507.244
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Fax machine]]>
      </notes>
    </var>
    <var ID="V2209" name="FAX_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Number of fax lines or fax machines
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        28
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7507.244
      </sumStat>
      <sumStat type="invd">
        2869
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        936660.54
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <sumStat type="mean">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1
      </sumStat>
      <sumStat type="stdev">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.1e-08
      </sumStat>
      <txt>
        Indicates the number of fax lines or fax machines the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7507.244
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2869
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          936660.54
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Fax machine]]>
      </notes>
    </var>
    <var ID="V2210" name="COMPUTER" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Has computer or laptop connected or not to an internet line
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to a  computer or laptop connected or not to an internet line]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1949
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          647928.948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          948
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          296238.836
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Computer]]>
      </notes>
    </var>
    <var ID="V2211" name="COMPUTER_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Number of computers or laptops connected or not to an internet line
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        948
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        296238.836
      </sumStat>
      <sumStat type="invd">
        1949
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        647928.948
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        1.021
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.014
      </sumStat>
      <sumStat type="stdev">
        0.164
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.131
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of  computers or laptops connected or not to an internet line the household owns or has free access to]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          930
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          292354.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3724.824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1949
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          647928.948
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Computer]]>
      </notes>
    </var>
    <var ID="V2212" name="INTERNET" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="76" width="1" RecSegNo="1"/>
      <labl>
        Has internet line and related equipments (router, USB,etc..)
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to an  internet line and related equipments (router, USB, etc…)]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2709
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          890070.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          188
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54097.004
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Internet connection]]>
      </notes>
    </var>
    <var ID="V2213" name="REFRG" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        <![CDATA[Has refrigerator,  freezer, water cooler, etc..]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to a refrigerator,  freezer, water cooler, etc...]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          77
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19993.536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2820
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          924174.248
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Refrigerator and freezer]]>
      </notes>
    </var>
    <var ID="V2214" name="REFRG_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        <![CDATA[Number of refrigerators,  freezers, water coolers, etc..]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        2820
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        924174.248
      </sumStat>
      <sumStat type="invd">
        77
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        19993.536
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        5
      </sumStat>
      <sumStat type="mean">
        1.107
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.098
      </sumStat>
      <sumStat type="stdev">
        0.328
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.31
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of  refrigerators, freezers, water coolers, etc… the household owns or has free access to]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          836047.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          279
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85829.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1977.956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          77
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19993.536
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Refrigerator and freezer]]>
      </notes>
    </var>
    <var ID="V2215" name="COOKER" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="79" width="1" RecSegNo="1"/>
      <labl>
        Has cooker, stove, oven, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a gas or electric cooker, stove, oven, etc…
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1550.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2892
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          942616.996
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Gas oven with grill, gas oven for bread and gas stove]]>
      </notes>
    </var>
    <var ID="V2216" name="COOKER_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="80" EndPos="80" width="1" RecSegNo="1"/>
      <labl>
        Number of cookers, stoves, ovens, etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        2892
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        942616.996
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1550.788
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        3
      </sumStat>
      <sumStat type="mean">
        1.389
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.404
      </sumStat>
      <sumStat type="stdev">
        0.534
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.538
      </sumStat>
      <txt>
        Indicates the number of gas or electric cookers, stoves, ovens, etc... the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1834
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          584869.368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          334987.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22759.812
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1550.788
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Gas oven with grill, gas oven for bread and gas stove]]>
      </notes>
    </var>
    <var ID="V2217" name="MICROWAVE" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="81" width="1" RecSegNo="1"/>
      <labl>
        Has microwave, grill, fryer etc..
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates if the household owns or has free access to a  microwave, grill, fryer, etc…]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2473
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          815166.072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          424
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129001.712
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Microwave]]>
      </notes>
    </var>
    <var ID="V2218" name="MICROWAVE_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        <![CDATA[Number of  microwaves, grills, fryers, etc..]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        424
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        129001.712
      </sumStat>
      <sumStat type="invd">
        2473
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        815166.072
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <sumStat type="mean">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1
      </sumStat>
      <sumStat type="stdev">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0
      </sumStat>
      <txt>
        <![CDATA[Indicates the number of  microwaves, grills, fryers, etc... the household owns or has free access to]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          424
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129001.712
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2473
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          815166.072
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Microwave]]>
      </notes>
    </var>
    <var ID="V2219" name="WASH" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Has washing machine
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a manual or an automatic washing machine
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          92
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26772.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2805
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          917395.028
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Washing machine]]>
      </notes>
    </var>
    <var ID="V2220" name="WASH_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Number of washing machines
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        2805
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        917395.028
      </sumStat>
      <sumStat type="invd">
        92
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        26772.756
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <sumStat type="mean">
        1.011
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.011
      </sumStat>
      <sumStat type="stdev">
        0.106
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.106
      </sumStat>
      <txt>
        Indicates the number of manual or automatic washing machines the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2773
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          907041.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10353.78
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          92
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26772.756
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Washing machine]]>
      </notes>
    </var>
    <var ID="V2221" name="DSHWSH" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="85" width="1" RecSegNo="1"/>
      <labl>
        Has a dishwasher
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a dishwasher
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2863
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          934566.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9601.316
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Dishwasher]]>
      </notes>
    </var>
    <var ID="V2222" name="DSHWSH_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="86" width="1" RecSegNo="1"/>
      <labl>
        Number of dishwashers
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        34
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9601.316
      </sumStat>
      <sumStat type="invd">
        2863
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        934566.468
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        1
      </sumStat>
      <sumStat type="mean">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1
      </sumStat>
      <sumStat type="stdev">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0
      </sumStat>
      <txt>
        Indicates the number of dishwashers the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9601.316
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2863
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          934566.468
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Dishwasher]]>
      </notes>
    </var>
    <var ID="V2223" name="COND" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="87" width="1" RecSegNo="1"/>
      <labl>
        Has an air conditioner
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to an air conditioner
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2742
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          882807.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          155
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61359.968
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: AC]]>
      </notes>
    </var>
    <var ID="V2224" name="COND_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="88" width="1" RecSegNo="1"/>
      <labl>
        Number of air conditioners
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        155
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        61359.968
      </sumStat>
      <sumStat type="invd">
        2742
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        882807.816
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        1.239
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.247
      </sumStat>
      <sumStat type="stdev">
        0.571
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.547
      </sumStat>
      <txt>
        Indicates the number of air conditioners the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49445.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8920.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2755.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237.816
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2742
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          882807.816
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: AC]]>
      </notes>
    </var>
    <var ID="V2225" name="WAHEAT" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="89" width="1" RecSegNo="1"/>
      <labl>
        Has a water heater
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a solar, gas or electric water heater
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2517
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          821174.216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          380
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122993.568
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Solar heater]]>
      </notes>
    </var>
    <var ID="V2226" name="SEWING" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="90" width="1" RecSegNo="1"/>
      <labl>
        Has a sewing machine
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a sewing machine
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2463
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          801770.604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          142397.18
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Sewing machine]]>
      </notes>
    </var>
    <var ID="V2227" name="SEWING_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="91" width="1" RecSegNo="1"/>
      <labl>
        Number of sewing machines
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        434
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142397.18
      </sumStat>
      <sumStat type="invd">
        2463
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        801770.604
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <sumStat type="mean">
        1.012
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.011
      </sumStat>
      <sumStat type="stdev">
        0.107
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.104
      </sumStat>
      <txt>
        Indicates the number of sewing machines the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          429
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140833.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1563.524
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2463
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          801770.604
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Sewing machine]]>
      </notes>
    </var>
    <var ID="V2228" name="VACUUM" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="92" width="1" RecSegNo="1"/>
      <labl>
        Has a vacuum cleaner
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to a vacuum cleaner
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1459
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          477768.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1438
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          466399.564
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Electric vacuum]]>
      </notes>
    </var>
    <var ID="V2229" name="VACUUM_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="93" width="1" RecSegNo="1"/>
      <labl>
        Number of vacuum cleaners
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        1438
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        466399.564
      </sumStat>
      <sumStat type="invd">
        1459
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        477768.22
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <sumStat type="mean">
        1.007
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.006
      </sumStat>
      <sumStat type="stdev">
        0.0831
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.0745
      </sumStat>
      <txt>
        Indicates the number of vacuum cleaners the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          463798.636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2600.928
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1459
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          477768.22
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Electric vacuum]]>
      </notes>
    </var>
    <var ID="V2230" name="ODUR" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="94" width="1" RecSegNo="1"/>
      <labl>
        Has other durables
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to any other household appliance
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          2443
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          809442.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          454
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134725.22
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Water filter]]>
      </notes>
    </var>
    <var ID="V2231" name="ODUR_N" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="95" width="1" RecSegNo="1"/>
      <labl>
        Number of other durables
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households reported ownership
      </universe>
      <sumStat type="vald">
        454
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        134725.22
      </sumStat>
      <sumStat type="invd">
        2443
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        809442.564
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <sumStat type="mean">
        1.002
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.001
      </sumStat>
      <sumStat type="stdev">
        0.0469
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.0316
      </sumStat>
      <txt>
        Indicates the number of any other appliances the household owns or has free access to
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          453
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134590.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134.5
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2443
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          809442.564
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
Includes: Water filter]]>
      </notes>
    </var>
    <var ID="V2232" name="AGEHD" wgt-var="V2172" files="F10" dcml="0" intrvl="contin">
      <location StartPos="96" EndPos="97" width="2" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="17" max="98"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        17
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        48.628
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        48.052
      </sumStat>
      <sumStat type="stdev">
        14.02
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        14.042
      </sumStat>
      <txt>
        Age of the head in years
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2233" name="AGESP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="contin">
      <location StartPos="98" EndPos="99" width="2" RecSegNo="1"/>
      <labl>
        Age of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="16" max="83"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <sumStat type="min">
        16
      </sumStat>
      <sumStat type="max">
        83
      </sumStat>
      <sumStat type="mean">
        40.98
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        40.465
      </sumStat>
      <sumStat type="stdev">
        12.437
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        12.444
      </sumStat>
      <txt>
        Age in years of the first spouse
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2234" name="AGESP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="contin">
      <location StartPos="100" EndPos="101" width="2" RecSegNo="1"/>
      <labl>
        Age of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="21" max="60"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <sumStat type="min">
        21
      </sumStat>
      <sumStat type="max">
        60
      </sumStat>
      <sumStat type="mean">
        38.103
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        36.503
      </sumStat>
      <sumStat type="stdev">
        9.213
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7.219
      </sumStat>
      <txt>
        Age in years of the second spouse
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2235" name="SEXHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="102" width="1" RecSegNo="1"/>
      <labl>
        Gender of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Gender of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          2556
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          839509.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          341
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          104658.764
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Indicator for gender of individual. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2236" name="SEXSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="103" width="1" RecSegNo="1"/>
      <labl>
        Gender of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <txt>
        Gender of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          2491
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          821485.704
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Indicator for gender of individual. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2237" name="SEXSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="104" width="1" RecSegNo="1"/>
      <labl>
        Gender of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <txt>
        Gender of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8468.784
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Indicator for gender of individual. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2238" name="MARTHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="105" EndPos="106" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9169.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          2512
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          832466.528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8468.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6524.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          87538.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Should not be imputed, it can be generated only for those to whom the question was asked (in other words, the youngest age at which information is collected may differ depending on the survey).
Married refers to only formal marriages (including legally married). Polygamous unions includes males with multiple spouses. 
Number of spouses in household can be applied to compute polygamy.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2239" name="MARTHD_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="109" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9169.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          2512
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          832466.528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8468.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6524.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          87538.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2240" name="PARTHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="110" width="1" RecSegNo="1"/>
      <labl>
        Partnership and parenthood status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        ERF recode that allows users to identify heads as having a partner (either married or unmarried) versus not having a partner, as well as parents as opposed to non-parents, using a single variable
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head with partner, with no children
        </labl>
        <catStat type="freq">
          155
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47209.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Head with partner, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          2042
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          678221.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Head with partner, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          115503.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Single Head, with no children
        </labl>
        <catStat type="freq">
          109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30519.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Single Head, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          98
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29819.876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Single Head, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42892.696
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Partnership status for head may be restricted to civic status, parenthood status assumes that the children of the head are also children of the spouse.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF.
Single head is defined as never married, divorced, separated or widowed.
Head with partner is defined as married head.]]>
      </notes>
    </var>
    <var ID="V2241" name="NATHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="112" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/ nationality of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Ethnicity or nationality of the head
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44746.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          2797
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          899421.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, it can also contain country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2242" name="NATSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="114" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <txt>
        Ethnicity or nationality of the first spouse
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          90
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38769.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          2401
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          782715.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, it can also contain country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2243" name="NATSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="116" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <txt>
        Ethnicity or nationality of the second spouse
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8270.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, it can also contain country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2244" name="NATHD_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="119" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Ethnicity or nationality of the head.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Ã…land Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6380.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          CÃ´te d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          2797
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          899421.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          CuraÃ§ao
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          RÃ©union
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-BarthÃ©lemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2964.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4121.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29644.112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1636.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2245" name="NATSP_1_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="120" EndPos="122" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <txt>
        Ethnicity or nationality of the first spouse.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Ã…land Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5277.244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          CÃ´te d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          2401
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          782715.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          CuraÃ§ao
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          RÃ©union
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-BarthÃ©lemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5533.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4371.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22334.344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1253.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2246" name="NATSP_2_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="125" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <txt>
        <![CDATA[Ethnicity or nationality of the second  spouse.]]>
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Ã…land Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          CÃ´te d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8270.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          CuraÃ§ao
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          RÃ©union
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-BarthÃ©lemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2247" name="LITHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="126" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the head is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          368
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103955.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          2529
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          840212.432
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2248" name="LITSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="127" EndPos="127" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <txt>
        This variable indicates whether the first spouse is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          367
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          98966.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          2124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          722519.34
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2249" name="LITSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="128" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <txt>
        This variable indicates whether the second spouse is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1586.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6882.288
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2250" name="EDUHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="130" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          640
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          186895.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1212
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          417754.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          392
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          130969.708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          270
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92083.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          286
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84648.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          97
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31816.016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, use the code 1.
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2251" name="EDUSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="132" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          564
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          162367.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1047
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          371447.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          379
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118356.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          105357.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          59465.736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4491.724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, use the code 1.
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2252" name="EDUSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="134" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2410.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5024.476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          580.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, use the code 1.
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2253" name="EDUHD_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="137" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          368
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103955.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          272
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82939.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          170055.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          604
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          196732.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          110
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41676.452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9289.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          392
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          130969.708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          270
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92083.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          286
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84648.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5552.484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21370.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4892.872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2254" name="EDUSP_1_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="140" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          367
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          98966.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63400.956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          327
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118090.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          499
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169193.06
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          219
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83669.88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          494.112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          379
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118356.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          105357.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          59465.736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2836.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1655.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2255" name="EDUSP_2_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="143" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1586.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          824.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1273.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2391.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1360.368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          580.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2256" name="MASHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="145" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the head during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          1729
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          585814.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39563.304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          303
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92620.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1134.3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          95206.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          448
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129828.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The reference period might be the last 12 months or  the current time period.  
Unlike PCLFS, the main distinction in PCMAS is between:
- “Employed” -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- “Not Employed”.  
The rationale is that individuals do not generally spend their time “being unemployed”, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the “Not Employed”.
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive – individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".
In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2257" name="MASSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="147" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          167
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56268.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          79
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26440.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          2216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          730282.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1792.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5430.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1271.568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The reference period might be the last 12 months or  the current time period.  
Unlike PCLFS, the main distinction in PCMAS is between:
- “Employed” -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- “Not Employed”.  
The rationale is that individuals do not generally spend their time “being unemployed”, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the “Not Employed”.
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive – individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".
In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2258" name="MASSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="149" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          991.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7477.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The reference period might be the last 12 months or  the current time period.  
Unlike PCLFS, the main distinction in PCMAS is between:
- “Employed” -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- “Not Employed”.  
The rationale is that individuals do not generally spend their time “being unemployed”, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the “Not Employed”.
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive – individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".
In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2259" name="MASHD_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="150" EndPos="152" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the head during the survey period
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          1681
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          567875.608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16484.676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          926.048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39563.304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          303
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92620.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1134.3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          95206.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2619.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          440
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127208.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2260" name="MASSP_1_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="153" EndPos="155" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2491
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        821485.704
      </sumStat>
      <sumStat type="invd">
        406
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        122682.08
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42167.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13792.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          79
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26440.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          2216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          730282.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1792.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5430.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          481.652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          789.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          406
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122682.08
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2261" name="MASSP_2_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="156" EndPos="158" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        29
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8468.784
      </sumStat>
      <sumStat type="invd">
        2868
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        935699
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          842.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7477.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2262" name="EMSHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="160" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        1729
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        585814.332
      </sumStat>
      <sumStat type="invd">
        1168
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        358353.452
      </sumStat>
      <txt>
        Detailed description of the employment status of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          1262
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          427929.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61369.036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          260
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94443.884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          617.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1454.048
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          358353.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.
Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.
Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.
Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .
Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2263" name="EMSSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="162" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        167
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        56268.092
      </sumStat>
      <sumStat type="invd">
        2730
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        887899.692
      </sumStat>
      <txt>
        Detailed description of the employment status of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          150
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51450.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2150.448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1593.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          206.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          557.192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.94
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          887899.692
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.
Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.
Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.
Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .
Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2264" name="EMSSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="164" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        991.46
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        943176.324
      </sumStat>
      <txt>
        Detailed description of the employment status of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          842.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943176.324
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.
Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.
Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.
Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .
Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2265" name="OCCHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="165" EndPos="167" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        1729
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        585814.332
      </sumStat>
      <sumStat type="invd">
        1168
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        358353.452
      </sumStat>
      <txt>
        <![CDATA[International Standard Occupational classification of the main (current or last held) job  of the head , with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          183
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51045.28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          242
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78126.516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42596.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          113
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36943.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          281
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          93321.992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11479.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          284
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103468.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          326
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          111086.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          147
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56292.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1454.048
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          358353.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.
Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2266" name="OCCSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="168" EndPos="170" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        167
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        56268.092
      </sumStat>
      <sumStat type="invd">
        2730
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        887899.692
      </sumStat>
      <txt>
        <![CDATA[International Standard Occupational classification of the main (current or last held) job of the first spouse, with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1109.016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34237.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8408.412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5339.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3966.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          206.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1347.952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1343.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.94
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          887899.692
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.
Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2267" name="OCCSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="171" EndPos="173" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        991.46
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        943176.324
      </sumStat>
      <txt>
        <![CDATA[International Standard Occupational classification of the main (current or last held) job of the second spouse, with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          389.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943176.324
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.
Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2268" name="OCCHD_ISCO88_3" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="174" EndPos="177" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the head [ISCO 1988- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        1729
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        585814.332
      </sumStat>
      <sumStat type="invd">
        1168
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        358353.452
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the head, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32263.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior government officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Senior officials of special-interest organizations
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Directors and chief executives
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Production and operations department managers
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8095.348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Other department managers
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3097.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6203.244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, chemists and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Computing professionals
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1362.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Architects, engineers and related professionals
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11168.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          818.032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Health professionals (except nursing)
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5305.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3063.648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education teaching profession
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1712.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Secondary education teaching professionals
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12782.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Primary and pre-primary education teaching professionals
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6904.06
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Special education teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1678.344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Business professionals
        </labl>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24177.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3770.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians and related information professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science and related professionals
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3325.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative or performing artists
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1147.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Religious professionals
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          674.348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6768.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Computer associate professionals
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1848.2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment operators
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1406.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2018.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Safety and quality inspectors
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2116.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Modern health associate professionals (except nursing)
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2515.316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3031.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and faith healers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1787.452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Pre-primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Special education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          561.06
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Finance and sales associate professionals
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5213.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Business services agents and trade brokers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          740.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11670.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Customs, tax and related government associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Police inspectors and detectives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Social work associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Artistic, entertainment and sports associate professionals
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1012.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate professionals
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1906.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating clerks
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3947.104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6497.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15444.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail and related clerks
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3375.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          954.94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3745.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information clerks
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2978.212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related workers
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4253.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services workers
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5449.936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1493.12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8233.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5774.624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          599.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
        <catStat type="freq">
          203
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63686.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Stall and market salespersons
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3831.224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5353.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Market-oriented animal producers and related workers
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4714.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Market-oriented crop and animal producers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1251.38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers, stone cutters and carvers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1223.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          56
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24695.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11918.796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4866.648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal molders, welders, sheet-metal workers, structural- met
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1543.98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, tool-makers and related trades workers
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13489.536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21359.236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Electrical and electronic equipment mechanics and fitters
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7419.244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          745.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related trades workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related mat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Printing and related trades workers
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3771.964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3639.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          796.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Textile, garment and related trades workers
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7571.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Pelt, leather and shoemaking trades workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining- and mineral-processing-plant operators
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4766.368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Glass, ceramics and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Wood-processing- and papermaking-plant operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Chemical-processing-plant operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          638.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Power-production and related plant operators
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2599.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Automated-assembly-line and industrial-robot operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Metal- and mineral-products machine operators
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1682.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Chemical-products machine operators
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          976.652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Rubber- and plastic-products machine operators
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Wood-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Printing-, binding- and paper-products machine operators
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Textile-, fur- and leather-products machine operators
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          382.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          828
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assemblers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1070.604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive-engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Motor-vehicle drivers
        </labl>
        <catStat type="freq">
          281
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          93914.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Agricultural and other mobile-plant operators
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2734.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          905.176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related workers
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10024.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other street services elementary occupatio
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          687.532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Domestic and related helpers, cleaners and launderers
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4560.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Building caretakers, window and related cleaners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers and related workers
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29754.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage collectors and related laborers
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2014.216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5848.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          431.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2197.06
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport laborers and freight handlers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          772.596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1454.048
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          358353.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2269" name="OCCSP_1_ISCO88_3" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="178" EndPos="181" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the first spouse [ISCO 1988- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        167
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        56268.092
      </sumStat>
      <sumStat type="invd">
        2730
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        887899.692
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the first spouse, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior government officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Senior officials of special-interest organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Directors and chief executives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Production and operations department managers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          319.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Other department managers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          319.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, chemists and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Computing professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Architects, engineers and related professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Health professionals (except nursing)
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4471.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education teaching profession
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Secondary education teaching professionals
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7923.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Primary and pre-primary education teaching professionals
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16163.948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Special education teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1257.008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Business professionals
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2380.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          351.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians and related information professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science and related professionals
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          565.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative or performing artists
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Religious professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Computer associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Safety and quality inspectors
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Modern health associate professionals (except nursing)
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1120.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3245.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and faith healers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2818.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Pre-primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Special education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Finance and sales associate professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Business services agents and trade brokers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          987.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Customs, tax and related government associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Police inspectors and detectives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Social work associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Artistic, entertainment and sports associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating clerks
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3317.452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          397.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail and related clerks
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          799.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          589.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          600.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2251.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          879.304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Stall and market salespersons
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          206.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Market-oriented animal producers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Market-oriented crop and animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers, stone cutters and carvers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal molders, welders, sheet-metal workers, structural- met
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, tool-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Electrical and electronic equipment mechanics and fitters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related mat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Printing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Textile, garment and related trades workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1347.952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Pelt, leather and shoemaking trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining- and mineral-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Glass, ceramics and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Wood-processing- and papermaking-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Chemical-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Power-production and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Automated-assembly-line and industrial-robot operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Metal- and mineral-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Chemical-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Rubber- and plastic-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Wood-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Printing-, binding- and paper-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Textile-, fur- and leather-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          828
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive-engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Motor-vehicle drivers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Agricultural and other mobile-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other street services elementary occupatio
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Domestic and related helpers, cleaners and launderers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Building caretakers, window and related cleaners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers and related workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage collectors and related laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          525.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport laborers and freight handlers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.94
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          887899.692
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2270" name="OCCSP_2_ISCO88_3" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="182" EndPos="185" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the second spouse [ISCO 1988- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        991.46
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        943176.324
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the second spouse, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior government officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Senior officials of special-interest organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Directors and chief executives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Production and operations department managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Other department managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, chemists and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Computing professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Architects, engineers and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Health professionals (except nursing)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education teaching profession
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Secondary education teaching professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Primary and pre-primary education teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Special education teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Business professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians and related information professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative or performing artists
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Religious professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Computer associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Safety and quality inspectors
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Modern health associate professionals (except nursing)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and faith healers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Pre-primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Special education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Finance and sales associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Business services agents and trade brokers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Customs, tax and related government associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Police inspectors and detectives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Social work associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Artistic, entertainment and sports associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail and related clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Stall and market salespersons
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Market-oriented animal producers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Market-oriented crop and animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers, stone cutters and carvers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal molders, welders, sheet-metal workers, structural- met
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, tool-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Electrical and electronic equipment mechanics and fitters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related mat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Printing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Textile, garment and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Pelt, leather and shoemaking trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining- and mineral-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Glass, ceramics and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Wood-processing- and papermaking-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Chemical-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Power-production and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Automated-assembly-line and industrial-robot operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Metal- and mineral-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Chemical-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Rubber- and plastic-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Wood-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Printing-, binding- and paper-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Textile-, fur- and leather-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          828
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive-engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Motor-vehicle drivers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Agricultural and other mobile-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other street services elementary occupatio
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Domestic and related helpers, cleaners and launderers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Building caretakers, window and related cleaners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers and related workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage collectors and related laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport laborers and freight handlers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943176.324
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2271" name="INDHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="186" EndPos="188" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        1729
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        585814.332
      </sumStat>
      <sumStat type="invd">
        1168
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        358353.452
      </sumStat>
      <txt>
        <![CDATA[Industry classification of the main (current or last held) job  of the head , with as much detail as possible]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19867.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2118.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          236
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81690.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10688.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          119
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43789.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          351
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          115970.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          215
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75151.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          101
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30293.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          349
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          112557.584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          268
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92232.272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1454.048
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          358353.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2272" name="INDSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="189" EndPos="191" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        167
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        56268.092
      </sumStat>
      <sumStat type="invd">
        2730
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        887899.692
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the first spouse, with as much detail as possible
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          732.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1774.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1932.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1303.056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5497.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          129
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44559.828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.94
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          887899.692
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2273" name="INDSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="192" EndPos="194" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        991.46
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        943176.324
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the second spouse, with as much detail as possible
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943176.324
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2274" name="INDHD_ISIC3_3" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="195" EndPos="198" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the head [ISIC Rev. 3- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        1729
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        585814.332
      </sumStat>
      <sumStat type="invd">
        1168
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        358353.452
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the head, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of crops; market gardening; horticulture
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8684.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Farming of animals
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6221.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Growing of crops combined with farming of animals (mixed far
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Agricultural and animal husbandry service activities, except
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3858.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Hunting, trapping and game propagation including related ser
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mining and agglomeration of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Mining and agglomeration of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Extraction and agglomeration of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1103.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Service activities incidental to oil and gas extraction excl
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Mining of non-ferrous metal ores, except uranium and thorium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          775.948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1343.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Production, processing and preservation of meat, fish, fruit
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1004.036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2050.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4730.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1100.796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          675.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          481.652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1261.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Manufacture of knitted and crocheted fabrics and articles
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9020.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Dressing and dyeing of fur; manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          661.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          661.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1824.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1196.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Publishing
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1966.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6152.572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2281.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Processing of nuclear fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic chemicals
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7497.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3234.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1793.92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4982.888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1631.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of basic precious and non-ferrous metals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12137.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metal workin
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          983.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of general purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of special purpose machinery
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          818.032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of domestic appliances n.e.c.
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1220.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Manufacture of electric motors, generators and transformers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Manufacture of electricity distribution and control apparatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Manufacture of insulated wire and cable
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1038.416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Manufacture of accumulators, primary cells and primary batte
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Manufacture of electric lamps and lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Manufacture of other electrical equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of electronic valves and tubes and other electro
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of television and radio transmitters and apparat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of television and radio receivers, sound or vide
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Manufacture of medical, measuring, checking, testing, naviga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Manufacture of watches and clocks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Building and repairing of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of railway and tramway locomotives and rolling s
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Manufacture of aircraft and spacecraft
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8837.284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          Manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          745.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Recycling of metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Recycling of non-metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Production, collection and distribution of electricity
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7894.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2794.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Site preparation
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5684.12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Building of complete constructions or parts thereof; civil e
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10067.964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Building installation
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8415.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Building completion
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19621.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Renting of construction or demolition equipment with operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6189.032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12662.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1754.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          603.416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2741.676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Wholesale of agricultural raw materials, live animals, food,
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6259.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1832.416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Wholesale of non-agricultural intermediate products, waste a
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          462.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Other wholesale
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Non-specialized retail trade in stores
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10172.896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6546.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Other retail trade of new goods in specialized stores
        </labl>
        <catStat type="freq">
          161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48801.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Retail sale of second-hand goods in stores
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1461.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Retail trade not in stores
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6102.808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3295.008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Hotels; camping sites and other provision of short-stay acco
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1218.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Restaurants, bars and canteens
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5533.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1262.584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62359.792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Transport via pipelines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Scheduled air transport
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1146.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Non-scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6403.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Post and courier activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1070.244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Telecommunications
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2909.452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6809.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Other financial intermediation
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1375.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1447.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation, except ins
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3778.716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Renting of transport equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Renting of other machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Renting of personal and household goods n.e.c.
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2848.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Hardware consultancy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Software consultancy and supply
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1180.016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Data processing
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Data base activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Maintenance and repair of office, accounting and computing m
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Other computer related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1144.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Legal/accounting/bookkeeping/auditing activities; tax/market
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2691.236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Architectural, engineering and other technical activities
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1604.14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Business activities n.e.c.
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6438.072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          153
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49214.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63342.924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Primary education
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12011.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          54
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19795.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11093.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          Adult and other education
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3808.196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Human health activities
        </labl>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21477.872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Social work activities
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3720.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3040.38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Activities of business, employers and professional organizat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3899.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Motion picture, radio, television and other entertainment ac
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1830.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          News agency activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          808.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Library, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          335.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          924
        </catValu>
        <labl>
          Sporting and other recreational activities
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          777.532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6248.164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1305.828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2080.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1454.048
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          358353.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2275" name="INDSP_1_ISIC3_3" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="199" EndPos="202" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the first spouse [ISIC Rev. 3- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        167
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        56268.092
      </sumStat>
      <sumStat type="invd">
        2730
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        887899.692
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the first spouse, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of crops; market gardening; horticulture
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          732.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Farming of animals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Growing of crops combined with farming of animals (mixed far
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Agricultural and animal husbandry service activities, except
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Hunting, trapping and game propagation including related ser
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mining and agglomeration of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Mining and agglomeration of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Extraction and agglomeration of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Service activities incidental to oil and gas extraction excl
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Mining of non-ferrous metal ores, except uranium and thorium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Production, processing and preservation of meat, fish, fruit
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Manufacture of knitted and crocheted fabrics and articles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1391.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Dressing and dyeing of fur; manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Processing of nuclear fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic chemicals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          144.5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of basic precious and non-ferrous metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metal workin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of general purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of special purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of domestic appliances n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Manufacture of electric motors, generators and transformers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Manufacture of electricity distribution and control apparatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Manufacture of insulated wire and cable
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Manufacture of accumulators, primary cells and primary batte
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Manufacture of electric lamps and lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Manufacture of other electrical equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of electronic valves and tubes and other electro
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of television and radio transmitters and apparat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of television and radio receivers, sound or vide
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Manufacture of medical, measuring, checking, testing, naviga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Manufacture of watches and clocks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Building and repairing of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of railway and tramway locomotives and rolling s
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Manufacture of aircraft and spacecraft
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          Manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Recycling of metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Recycling of non-metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Production, collection and distribution of electricity
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Site preparation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Building of complete constructions or parts thereof; civil e
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Building installation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Building completion
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Renting of construction or demolition equipment with operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Wholesale of agricultural raw materials, live animals, food,
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Wholesale of non-agricultural intermediate products, waste a
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Other wholesale
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Non-specialized retail trade in stores
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          437.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Other retail trade of new goods in specialized stores
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1260.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Retail sale of second-hand goods in stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Retail trade not in stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Hotels; camping sites and other provision of short-stay acco
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Restaurants, bars and canteens
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Transport via pipelines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Non-scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Post and courier activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Telecommunications
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          319.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Other financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation, except ins
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Renting of transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Renting of other machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Renting of personal and household goods n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Hardware consultancy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Software consultancy and supply
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Data processing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Data base activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Maintenance and repair of office, accounting and computing m
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Other computer related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Legal/accounting/bookkeeping/auditing activities; tax/market
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          351.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Architectural, engineering and other technical activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Business activities n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5306.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Primary education
        </labl>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19625.808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11328.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1009.032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          Adult and other education
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          600.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Human health activities
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8436.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Social work activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          637.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Activities of business, employers and professional organizat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Motion picture, radio, television and other entertainment ac
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          News agency activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Library, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          924
        </catValu>
        <labl>
          Sporting and other recreational activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2251.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          479.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.94
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          887899.692
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2276" name="INDSP_2_ISIC3_3" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="203" EndPos="206" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the second spouse [ISIC Rev. 3- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        991.46
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        943176.324
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the second spouse, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of crops; market gardening; horticulture
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Farming of animals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Growing of crops combined with farming of animals (mixed far
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Agricultural and animal husbandry service activities, except
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Hunting, trapping and game propagation including related ser
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mining and agglomeration of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Mining and agglomeration of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Extraction and agglomeration of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Service activities incidental to oil and gas extraction excl
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Mining of non-ferrous metal ores, except uranium and thorium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Production, processing and preservation of meat, fish, fruit
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Manufacture of knitted and crocheted fabrics and articles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Dressing and dyeing of fur; manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Processing of nuclear fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic chemicals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of basic precious and non-ferrous metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metal workin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of general purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of special purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of domestic appliances n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Manufacture of electric motors, generators and transformers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Manufacture of electricity distribution and control apparatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Manufacture of insulated wire and cable
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Manufacture of accumulators, primary cells and primary batte
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Manufacture of electric lamps and lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Manufacture of other electrical equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of electronic valves and tubes and other electro
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of television and radio transmitters and apparat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of television and radio receivers, sound or vide
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Manufacture of medical, measuring, checking, testing, naviga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Manufacture of watches and clocks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Building and repairing of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of railway and tramway locomotives and rolling s
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Manufacture of aircraft and spacecraft
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          Manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Recycling of metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Recycling of non-metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Production, collection and distribution of electricity
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Site preparation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Building of complete constructions or parts thereof; civil e
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Building installation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Building completion
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Renting of construction or demolition equipment with operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Wholesale of agricultural raw materials, live animals, food,
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Wholesale of non-agricultural intermediate products, waste a
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Other wholesale
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Non-specialized retail trade in stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Other retail trade of new goods in specialized stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Retail sale of second-hand goods in stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Retail trade not in stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Hotels; camping sites and other provision of short-stay acco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Restaurants, bars and canteens
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Transport via pipelines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Non-scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Post and courier activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Telecommunications
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Other financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation, except ins
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Renting of transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Renting of other machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Renting of personal and household goods n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Hardware consultancy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Software consultancy and supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Data processing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Data base activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Maintenance and repair of office, accounting and computing m
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Other computer related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Legal/accounting/bookkeeping/auditing activities; tax/market
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Architectural, engineering and other technical activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Business activities n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Primary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          Adult and other education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Human health activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Social work activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Activities of business, employers and professional organizat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Motion picture, radio, television and other entertainment ac
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          News agency activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Library, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          924
        </catValu>
        <labl>
          Sporting and other recreational activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943176.324
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2277" name="TYPEWKHD" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="207" EndPos="208" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        1729
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        585814.332
      </sumStat>
      <sumStat type="invd">
        1168
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        358353.452
      </sumStat>
      <txt>
        <![CDATA[Sector of employment  of the head]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          558
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          190234.708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1151
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          387445.148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5004.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1676.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1454.048
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          358353.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2278" name="TYPEWKSP_1" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="209" EndPos="210" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        167
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        56268.092
      </sumStat>
      <sumStat type="invd">
        2730
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        887899.692
      </sumStat>
      <txt>
        Sector of employment of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38912.2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15523.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1523.396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.94
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          887899.692
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2279" name="TYPEWKSP_2" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="211" EndPos="212" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        991.46
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        943176.324
      </sumStat>
      <txt>
        Sector of employment of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          644.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943176.324
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2280" name="TYPEWKHD_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="213" EndPos="215" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        1729
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        585814.332
      </sumStat>
      <sumStat type="invd">
        1168
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        358353.452
      </sumStat>
      <txt>
        Sector of employment of the head
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          558
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          190234.708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1151
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          387445.148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5004.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1676.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1454.048
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          358353.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2281" name="TYPEWKSP_1_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="216" EndPos="218" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        167
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        56268.092
      </sumStat>
      <sumStat type="invd">
        2730
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        887899.692
      </sumStat>
      <txt>
        Sector of employment of the first spouse
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38912.2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15523.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1523.396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.94
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          887899.692
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2282" name="TYPEWKSP_2_D" wgt-var="V2172" files="F10" dcml="0" intrvl="discrete">
      <location StartPos="219" EndPos="221" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        991.46
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        943176.324
      </sumStat>
      <txt>
        Sector of employment of the second spouse
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          644.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.252
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2893
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943176.324
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2283" name="FOODEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="222" EndPos="229" width="8" RecSegNo="1"/>
      <labl>
        Expenses on food and non-alcoholic beverages
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10.084677974397" max="51230.6737396177"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2896
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        943785.072
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        382.712
      </sumStat>
      <sumStat type="min">
        10.085
      </sumStat>
      <sumStat type="max">
        51230.674
      </sumStat>
      <sumStat type="mean">
        2278.42
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2248.804
      </sumStat>
      <sumStat type="stdev">
        1716.909
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1907.476
      </sumStat>
      <txt>
        Expenses on food and non-alcoholic beverages. Ideally, corresponds to Code 01 of the COICOP classification (SUM of 01).
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
All food expenditures include also own grown products expenses and gifts/in-kind received food. Expenses on take away food and meals taken in restaurants are included under code 11
= TOTPFOOD+TOTOWNP+TOTGIKD


COUNTRY SPECIFIC NOTES
----------------------------------
Compared to Jordan 2002 survey data, the expenses on items coded 1801 to 1826 were not available in the 2006 data.                      

Only one consumption type (code 2) is provided for food items and 3 types for non-food products in the 2006 survey data, but with no code identification/labeling. Since no differentiation is required between purchased, own produced or in kind expenses for non-food items, all expenses were assumed to be for purchased items.

Expenses items for which the codes are not labeled were allocated under expenditure aggregates based on their coding group.

Since the period over which the expenditure data are collected is not identified in the data file, a check on average expenses on food, non food and total expenditure was done and compared to the figures provided by DOS. It was found that amounts provided are already annualized. 

Items aggregated under each expenditure type are identified in "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V2284" name="RICE" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="230" EndPos="236" width="7" RecSegNo="1"/>
      <labl>
        Rice expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.41839383706205" max="1182.35409086439"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2504
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        817614.692
      </sumStat>
      <sumStat type="invd">
        393
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        126553.092
      </sumStat>
      <sumStat type="min">
        5.418
      </sumStat>
      <sumStat type="max">
        1182.354
      </sumStat>
      <sumStat type="mean">
        112.436
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        111.005
      </sumStat>
      <sumStat type="stdev">
        85.656
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        81.595
      </sumStat>
      <txt>
        Expenditures on rice in all forms
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2285" name="GRAIN" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="237" EndPos="242" width="6" RecSegNo="1"/>
      <labl>
        Grains and flour expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.68036865236124" max="617.178345427731"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1257
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        409600.72
      </sumStat>
      <sumStat type="invd">
        1640
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        534567.064
      </sumStat>
      <sumStat type="min">
        2.68
      </sumStat>
      <sumStat type="max">
        617.178
      </sumStat>
      <sumStat type="mean">
        43.825
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        42.06
      </sumStat>
      <sumStat type="stdev">
        46.108
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        43.394
      </sumStat>
      <txt>
        Wheat, Maize, Barely and all cereals in the grain or flour form
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2286" name="BREAD" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="243" EndPos="248" width="6" RecSegNo="1"/>
      <labl>
        Bread and cakes expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.51319395108779" max="698.228160009447"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2882
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        941353.828
      </sumStat>
      <sumStat type="invd">
        15
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2813.956
      </sumStat>
      <sumStat type="min">
        4.513
      </sumStat>
      <sumStat type="max">
        698.228
      </sumStat>
      <sumStat type="mean">
        144.228
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        145.805
      </sumStat>
      <sumStat type="stdev">
        84.799
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        83.586
      </sumStat>
      <txt>
        Bread in all forms, biscuits, cakes pizza..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2287" name="PAST" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="249" EndPos="254" width="6" RecSegNo="1"/>
      <labl>
        Pasta expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.46913720415745" max="254.435197652633"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1810
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        594918.376
      </sumStat>
      <sumStat type="invd">
        1087
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        349249.408
      </sumStat>
      <sumStat type="min">
        2.469
      </sumStat>
      <sumStat type="max">
        254.435
      </sumStat>
      <sumStat type="mean">
        35.272
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        33.532
      </sumStat>
      <sumStat type="stdev">
        29.891
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        28.4
      </sumStat>
      <txt>
        Macaroni, Noodles, Couscous ..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2288" name="CERPRE" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="255" EndPos="260" width="6" RecSegNo="1"/>
      <labl>
        Cereal preparation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.86327061649319" max="242.096374950007"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        89
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        31686.344
      </sumStat>
      <sumStat type="invd">
        2808
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        912481.44
      </sumStat>
      <sumStat type="min">
        5.863
      </sumStat>
      <sumStat type="max">
        242.096
      </sumStat>
      <sumStat type="mean">
        62.445
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        59.334
      </sumStat>
      <sumStat type="stdev">
        41.164
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        43.19
      </sumStat>
      <txt>
        Cornflakes, malt, tapioca..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2289" name="CEREXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="261" EndPos="267" width="7" RecSegNo="1"/>
      <labl>
        Expenses on purchased Bread and Cereals
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.51319395108779" max="1750.29651838921"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2892
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        942765.428
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1402.356
      </sumStat>
      <sumStat type="min">
        4.513
      </sumStat>
      <sumStat type="max">
        1750.297
      </sumStat>
      <sumStat type="mean">
        284.126
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        283.283
      </sumStat>
      <sumStat type="stdev">
        163.361
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        157.048
      </sumStat>
      <txt>
        Expenses on purchased Bread and Cereals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=RICE+GRAIN+BREAD+PAST+CERPRE


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2290" name="CEROWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="268" EndPos="271" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Bread and Cereals
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Bread and Cereals
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2291" name="SMEAT" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="272" EndPos="279" width="8" RecSegNo="1"/>
      <labl>
        Sheep and goats Meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24.5081819633249" max="37636.4330506998"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1308
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        410460.824
      </sumStat>
      <sumStat type="invd">
        1589
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        533706.96
      </sumStat>
      <sumStat type="min">
        24.508
      </sumStat>
      <sumStat type="max">
        37636.433
      </sumStat>
      <sumStat type="mean">
        502.348
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        518.617
      </sumStat>
      <sumStat type="stdev">
        1365.386
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1718.392
      </sumStat>
      <txt>
        Fresh frozen and tinned goats and sheep meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2292" name="CMEAT" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="280" EndPos="286" width="7" RecSegNo="1"/>
      <labl>
        Cow meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="7.9742084109401" max="1675.99908897489"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1403
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        484712.772
      </sumStat>
      <sumStat type="invd">
        1494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        459455.012
      </sumStat>
      <sumStat type="min">
        7.974
      </sumStat>
      <sumStat type="max">
        1675.999
      </sumStat>
      <sumStat type="mean">
        198.932
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        191.176
      </sumStat>
      <sumStat type="stdev">
        187.882
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        182.93
      </sumStat>
      <txt>
        Fresh frozen and tinned cow meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2293" name="OMEAT" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="287" EndPos="293" width="7" RecSegNo="1"/>
      <labl>
        Other meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="65.4619359220606" max="1275.20799480386"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        6
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1988.04
      </sumStat>
      <sumStat type="invd">
        2891
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        942179.744
      </sumStat>
      <sumStat type="min">
        65.462
      </sumStat>
      <sumStat type="max">
        1275.208
      </sumStat>
      <sumStat type="mean">
        468.243
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        468.243
      </sumStat>
      <sumStat type="stdev">
        438.179
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        400.101
      </sumStat>
      <txt>
        Fresh frozen and tinned camel, rabbit, pork etc. meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2294" name="CHMEAT" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="294" EndPos="300" width="7" RecSegNo="1"/>
      <labl>
        Chicken meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="20.344437041972" max="2297.69836984331"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2705
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        883767.604
      </sumStat>
      <sumStat type="invd">
        192
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        60400.18
      </sumStat>
      <sumStat type="min">
        20.344
      </sumStat>
      <sumStat type="max">
        2297.698
      </sumStat>
      <sumStat type="mean">
        276.162
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        268.034
      </sumStat>
      <sumStat type="stdev">
        181.514
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        175.014
      </sumStat>
      <txt>
        Fresh frozen and tinned chicken, turkey, birds etc. meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2295" name="LMEAT" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="301" EndPos="306" width="6" RecSegNo="1"/>
      <labl>
        Luncheon and Tinned meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.77327969376462" max="526.925912211486"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        295181.88
      </sumStat>
      <sumStat type="invd">
        2012
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        648985.904
      </sumStat>
      <sumStat type="min">
        5.773
      </sumStat>
      <sumStat type="max">
        526.926
      </sumStat>
      <sumStat type="mean">
        53.372
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        53.445
      </sumStat>
      <sumStat type="stdev">
        44.208
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        44.336
      </sumStat>
      <txt>
        Fresh and frozen luncheon, tinned and others meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2296" name="MEATEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="307" EndPos="314" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Meat and Poultry
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="16.1806798436142" max="37848.5943863389"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2815
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        920144.9
      </sumStat>
      <sumStat type="invd">
        82
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        24022.884
      </sumStat>
      <sumStat type="min">
        16.181
      </sumStat>
      <sumStat type="max">
        37848.594
      </sumStat>
      <sumStat type="mean">
        615.714
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        607.648
      </sumStat>
      <sumStat type="stdev">
        1013.339
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1215.168
      </sumStat>
      <txt>
        Expenses on purchased Meat and Poultry
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=SMEAT+CMEAT+OMEAT+CHMEAT+LMEAT


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2297" name="MEATOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="315" EndPos="318" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Meat and Poultry
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Meat and Poultry
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2298" name="FISH" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="319" EndPos="325" width="7" RecSegNo="1"/>
      <labl>
        Fish expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.59203980099502" max="1883.54779341692"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1487
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        491985.4
      </sumStat>
      <sumStat type="invd">
        1410
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        452182.384
      </sumStat>
      <sumStat type="min">
        4.592
      </sumStat>
      <sumStat type="max">
        1883.548
      </sumStat>
      <sumStat type="mean">
        125.186
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        120.271
      </sumStat>
      <sumStat type="stdev">
        139.102
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        129.987
      </sumStat>
      <txt>
        Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2299" name="SEAF" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="326" EndPos="329" width="4" RecSegNo="1"/>
      <labl>
        Seafood expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Fresh, frozen and proceed seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2300" name="FSHSEAEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="330" EndPos="336" width="7" RecSegNo="1"/>
      <labl>
        Expenses on purchased Fish and Seafood
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.59203980099502" max="1883.54779341692"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1487
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        491985.4
      </sumStat>
      <sumStat type="invd">
        1410
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        452182.384
      </sumStat>
      <sumStat type="min">
        4.592
      </sumStat>
      <sumStat type="max">
        1883.548
      </sumStat>
      <sumStat type="mean">
        125.186
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        120.271
      </sumStat>
      <sumStat type="stdev">
        139.102
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        129.987
      </sumStat>
      <txt>
        Expenses on purchased Fish and Seafood
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=FISH+SEAF


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2301" name="FSHSEAOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="337" EndPos="340" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Fish and Seafood
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Fish and Seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2302" name="MILK" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="341" EndPos="347" width="7" RecSegNo="1"/>
      <labl>
        Milk expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.009032780069" max="1049.06938967561"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2022
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        636391.08
      </sumStat>
      <sumStat type="invd">
        875
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        307776.704
      </sumStat>
      <sumStat type="min">
        5.009
      </sumStat>
      <sumStat type="max">
        1049.069
      </sumStat>
      <sumStat type="mean">
        108.311
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        106.102
      </sumStat>
      <sumStat type="stdev">
        88.75
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        90.867
      </sumStat>
      <txt>
        Fresh, powder, condensed and infant powder milk expenses
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2303" name="YOGH" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="348" EndPos="353" width="6" RecSegNo="1"/>
      <labl>
        Yogurt expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.44510800508259" max="684.120062834199"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2809
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        916495.292
      </sumStat>
      <sumStat type="invd">
        88
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        27672.492
      </sumStat>
      <sumStat type="min">
        4.445
      </sumStat>
      <sumStat type="max">
        684.12
      </sumStat>
      <sumStat type="mean">
        96.981
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        95.167
      </sumStat>
      <sumStat type="stdev">
        69.305
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        67.571
      </sumStat>
      <txt>
        Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2304" name="CHES" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="354" EndPos="360" width="7" RecSegNo="1"/>
      <labl>
        Cheese expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.92980578469249" max="7565.313852468"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2266
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        740890.856
      </sumStat>
      <sumStat type="invd">
        631
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        203276.928
      </sumStat>
      <sumStat type="min">
        4.93
      </sumStat>
      <sumStat type="max">
        7565.314
      </sumStat>
      <sumStat type="mean">
        87.643
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        88.673
      </sumStat>
      <sumStat type="stdev">
        184.295
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        247.694
      </sumStat>
      <txt>
        Processed, home made, tinned etc. cheese
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2305" name="EGG" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="361" EndPos="366" width="6" RecSegNo="1"/>
      <labl>
        Eggs expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.63411276794821" max="320.583434957339"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2444
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        806388.196
      </sumStat>
      <sumStat type="invd">
        453
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        137779.588
      </sumStat>
      <sumStat type="min">
        2.634
      </sumStat>
      <sumStat type="max">
        320.583
      </sumStat>
      <sumStat type="mean">
        62.08
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        61.416
      </sumStat>
      <sumStat type="stdev">
        31.907
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        32.127
      </sumStat>
      <txt>
        Eggs and wholly made egg products
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2306" name="DAIRYEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="367" EndPos="373" width="7" RecSegNo="1"/>
      <labl>
        Expenses on purchased Dairy Products
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="8.37028686023902" max="7862.54318210784"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2880
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        938904.732
      </sumStat>
      <sumStat type="invd">
        17
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5263.052
      </sumStat>
      <sumStat type="min">
        8.37
      </sumStat>
      <sumStat type="max">
        7862.543
      </sumStat>
      <sumStat type="mean">
        292.273
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        287.532
      </sumStat>
      <sumStat type="stdev">
        233.857
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        275.483
      </sumStat>
      <txt>
        Expenses on purchased Dairy Products
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=MILK+YOGH+CHES+EGG


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2307" name="DAIRYOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="374" EndPos="377" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Dairy Products
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Dairy Products
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2308" name="OOIL" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="378" EndPos="384" width="7" RecSegNo="1"/>
      <labl>
        Olive oil expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.69290912542716" max="3086.58114483498"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        116167.808
      </sumStat>
      <sumStat type="invd">
        2580
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        827999.976
      </sumStat>
      <sumStat type="min">
        5.693
      </sumStat>
      <sumStat type="max">
        3086.581
      </sumStat>
      <sumStat type="mean">
        179.608
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        174.86
      </sumStat>
      <sumStat type="stdev">
        316.195
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        280.058
      </sumStat>
      <txt>
        Olive oil
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2309" name="OIL" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="385" EndPos="391" width="7" RecSegNo="1"/>
      <labl>
        Other oils expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="13.1843179377014" max="1069.15069131756"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1907
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        618200.196
      </sumStat>
      <sumStat type="invd">
        990
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        325967.588
      </sumStat>
      <sumStat type="min">
        13.184
      </sumStat>
      <sumStat type="max">
        1069.151
      </sumStat>
      <sumStat type="mean">
        117.727
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        119.139
      </sumStat>
      <sumStat type="stdev">
        93.151
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        97.038
      </sumStat>
      <txt>
        Corn, sunflower, soya etc
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
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      <location StartPos="392" EndPos="397" width="6" RecSegNo="1"/>
      <labl>
        Butter and margarine expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6.22431848019152" max="507.373932029618"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        391
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        126836.808
      </sumStat>
      <sumStat type="invd">
        2506
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        817330.976
      </sumStat>
      <sumStat type="min">
        6.224
      </sumStat>
      <sumStat type="max">
        507.374
      </sumStat>
      <sumStat type="mean">
        65.743
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        67.07
      </sumStat>
      <sumStat type="stdev">
        65.411
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        65.752
      </sumStat>
      <txt>
        Butter, margarine, ghee, ...
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2311" name="FAT" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="398" EndPos="403" width="6" RecSegNo="1"/>
      <labl>
        Fat expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="60.2328431372549" max="144.558823529412"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        990
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
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      </sumStat>
      <sumStat type="min">
        60.233
      </sumStat>
      <sumStat type="max">
        144.559
      </sumStat>
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      </sumStat>
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      </sumStat>
      <sumStat type="stdev">
        36.53
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        30.449
      </sumStat>
      <txt>
        Animal and vegetable fats and other edible
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
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      <labl>
        Expenses on purchased Oil &amp; Fats
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="7.0161134179618" max="3322.80522048036"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2119
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        687704.772
      </sumStat>
      <sumStat type="invd">
        778
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        256463.012
      </sumStat>
      <sumStat type="min">
        7.016
      </sumStat>
      <sumStat type="max">
        3322.805
      </sumStat>
      <sumStat type="mean">
        145.132
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        149.141
      </sumStat>
      <sumStat type="stdev">
        172.078
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        169.243
      </sumStat>
      <txt>
        Expenses on purchased Oil &amp; Fats
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=OOIL+OIL+BUT+FAT


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2313" name="OILFATOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="411" EndPos="414" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Oil &amp; Fats
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Oil &amp; Fats
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2314" name="FRUITEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="415" EndPos="421" width="7" RecSegNo="1"/>
      <labl>
        Fruits expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.17651515151515" max="9083.26518257343"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2717
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        890935.472
      </sumStat>
      <sumStat type="invd">
        180
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        53232.312
      </sumStat>
      <sumStat type="min">
        2.177
      </sumStat>
      <sumStat type="max">
        9083.265
      </sumStat>
      <sumStat type="mean">
        208.244
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        201.185
      </sumStat>
      <sumStat type="stdev">
        247.474
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        199.828
      </sumStat>
      <txt>
        Fresh, chilled, frozen, and tinned fruits, nuts
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2315" name="FRUITOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="422" EndPos="425" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Fruits
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Fruits
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
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        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2316" name="VEGEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="426" EndPos="432" width="7" RecSegNo="1"/>
      <labl>
        Vegetables expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.21266515015737" max="2150.15152684811"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2886
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        941363.944
      </sumStat>
      <sumStat type="invd">
        11
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2803.84
      </sumStat>
      <sumStat type="min">
        5.213
      </sumStat>
      <sumStat type="max">
        2150.152
      </sumStat>
      <sumStat type="mean">
        306.606
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        297.505
      </sumStat>
      <sumStat type="stdev">
        188.254
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        179.369
      </sumStat>
      <txt>
        Fresh, chilled, frozen, and tinned vegetables, garlic, processed and tuber vegetables like chips..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2317" name="VEGOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="433" EndPos="436" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Vegetables
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Vegetables
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
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        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2318" name="SUGAREXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="437" EndPos="443" width="7" RecSegNo="1"/>
      <labl>
        Expenses on sugar and jam expenditure
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.75113214935618" max="5342.90362916423"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2717
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        884506.628
      </sumStat>
      <sumStat type="invd">
        180
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        59661.156
      </sumStat>
      <sumStat type="min">
        2.751
      </sumStat>
      <sumStat type="max">
        5342.904
      </sumStat>
      <sumStat type="mean">
        188.891
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        187.111
      </sumStat>
      <sumStat type="stdev">
        278.45
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        266.749
      </sumStat>
      <txt>
        Sugar, Halawa, Chocolate, Honey, Jam, Bonbon, etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2319" name="SUGAROWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="444" EndPos="447" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Sugar and Jam
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Sugar and Jam
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2320" name="SPICEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="448" EndPos="454" width="7" RecSegNo="1"/>
      <labl>
        Spices expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.6325" max="1037.355716392"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2512
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        826735.404
      </sumStat>
      <sumStat type="invd">
        385
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        117432.38
      </sumStat>
      <sumStat type="min">
        2.633
      </sumStat>
      <sumStat type="max">
        1037.356
      </sumStat>
      <sumStat type="mean">
        73.008
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        71.077
      </sumStat>
      <sumStat type="stdev">
        73.993
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        71.767
      </sumStat>
      <txt>
        Salt, black pepper, sauces, seasonings, vanilla etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2321" name="SPICOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="455" EndPos="458" width="4" RecSegNo="1"/>
      <labl>
        Expenses on Own-Produced Spices
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on Own-Produced Spices
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2322" name="BEVEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="459" EndPos="465" width="7" RecSegNo="1"/>
      <labl>
        Beverages expenditure
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.02969454607334" max="1906.16529530756"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2862
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        932904.036
      </sumStat>
      <sumStat type="invd">
        35
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        11263.748
      </sumStat>
      <sumStat type="min">
        2.03
      </sumStat>
      <sumStat type="max">
        1906.165
      </sumStat>
      <sumStat type="mean">
        195.9
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        193.938
      </sumStat>
      <sumStat type="stdev">
        140.272
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        138.538
      </sumStat>
      <txt>
        Coffee, tea, water fruit end vegetable juices
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2323" name="BEVOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="466" EndPos="469" width="4" RecSegNo="1"/>
      <labl>
        Expenses on own-Produced Beverages
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Expenses on own-Produced Beverages
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some surveys own-produced water may be for irrigation purposes


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2324" name="OTHFEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="470" EndPos="473" width="4" RecSegNo="1"/>
      <labl>
        Expenses on other non-specified food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Includes all other purchased food items non-specified in the questionnaire
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2325" name="OTHFOWN" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="474" EndPos="477" width="4" RecSegNo="1"/>
      <labl>
        Expenses on other non-specified own-produced food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Includes all other own produced food items non-specified in the questionnaire
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2326" name="TOTPFOOD" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="478" EndPos="485" width="8" RecSegNo="1"/>
      <labl>
        Expenses on total purchased food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10.084677974397" max="51230.6737396177"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2896
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        943785.072
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        382.712
      </sumStat>
      <sumStat type="min">
        10.085
      </sumStat>
      <sumStat type="max">
        51230.674
      </sumStat>
      <sumStat type="mean">
        2278.42
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2248.804
      </sumStat>
      <sumStat type="stdev">
        1716.909
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1907.476
      </sumStat>
      <txt>
        Total amounts of food and beverage purchased from the market
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CEREXP+MEATEXP+FSHSEAEXP+DAIRYEXP+OILFATEXP+FRUITEXP+VEGEXP+SUGAREXP+SPICEXP+BEVEXP+OTHFEXP


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2327" name="TOTOWNP" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="486" EndPos="489" width="4" RecSegNo="1"/>
      <labl>
        Expenses on total Own produced food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Food and beverage own produced products, consumed or given away
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CEROWN+MEATOWN+FSHSEAOWN+DAIRYOWN+OILFATOWN+FRUITOWN+VEGOWN+SUGAROWN+SPICOWN+BEVOWN+OTHFOWN


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2328" name="TOTGIKD" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="490" EndPos="493" width="4" RecSegNo="1"/>
      <labl>
        Expenses on total Gifts and in-kind food
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Food and beverage products received from other households
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, this category may be aggregated with purchased food or own produced food


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2329" name="ALCOEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="494" EndPos="500" width="7" RecSegNo="1"/>
      <labl>
        Expenses on alcohol and tobacco
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="8.81876281613124" max="3067.74752093558"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1874
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        620205.716
      </sumStat>
      <sumStat type="invd">
        1023
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        323962.068
      </sumStat>
      <sumStat type="min">
        8.819
      </sumStat>
      <sumStat type="max">
        3067.748
      </sumStat>
      <sumStat type="mean">
        428.474
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        425.768
      </sumStat>
      <sumStat type="stdev">
        305.864
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        298.46
      </sumStat>
      <txt>
        Expenses on alcoholic beverages, tobacco, and narcotics. Ideally, corresponds to Code 02 of the COICOP classification (SUM of 02).
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ALC+TOB


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2330" name="ALC" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="501" EndPos="507" width="7" RecSegNo="1"/>
      <labl>
        Alcoholic expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="42.9" max="1040"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        9
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2996.596
      </sumStat>
      <sumStat type="invd">
        2888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        941171.188
      </sumStat>
      <sumStat type="min">
        42.9
      </sumStat>
      <sumStat type="max">
        1040
      </sumStat>
      <sumStat type="mean">
        262.94
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        303.043
      </sumStat>
      <sumStat type="stdev">
        332.62
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        287.305
      </sumStat>
      <txt>
        Expenses on alcoholic beverages, spirits, wine, beer..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2331" name="TOB" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="508" EndPos="514" width="7" RecSegNo="1"/>
      <labl>
        Tobacco expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="8.81876281613124" max="3067.74752093558"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1873
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        620014.36
      </sumStat>
      <sumStat type="invd">
        1024
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        324153.424
      </sumStat>
      <sumStat type="min">
        8.819
      </sumStat>
      <sumStat type="max">
        3067.748
      </sumStat>
      <sumStat type="mean">
        427.439
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        424.435
      </sumStat>
      <sumStat type="stdev">
        303.393
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        295.55
      </sumStat>
      <txt>
        Expenses on tobacco, cigarettes, etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2332" name="APPEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="515" EndPos="521" width="7" RecSegNo="1"/>
      <labl>
        Expenses on clothing and footwear
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.856560566957519" max="2975.9913036517"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2856
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        933527.492
      </sumStat>
      <sumStat type="invd">
        41
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10640.292
      </sumStat>
      <sumStat type="min">
        0.857
      </sumStat>
      <sumStat type="max">
        2975.991
      </sumStat>
      <sumStat type="mean">
        388.042
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        383.04
      </sumStat>
      <sumStat type="stdev">
        322.196
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        311.344
      </sumStat>
      <txt>
        Expenses on clothing and footwear. Ideally, corresponds to Code 03 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CLOTH+MCLO+CHAR+FOOTW+SCHCLTH


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2333" name="CLOTH" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="522" EndPos="528" width="7" RecSegNo="1"/>
      <labl>
        Clothes for men, women and children expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.75932129649772" max="2381.04244277804"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2823
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        922977.196
      </sumStat>
      <sumStat type="invd">
        74
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        21190.588
      </sumStat>
      <sumStat type="min">
        2.759
      </sumStat>
      <sumStat type="max">
        2381.042
      </sumStat>
      <sumStat type="mean">
        293.056
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        289.869
      </sumStat>
      <sumStat type="stdev">
        253.897
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        245.637
      </sumStat>
      <txt>
        Garments, dresses, shirts, blouse, capes, coats for men, women and children. Excluding school clothes and uniforms
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some countries, we have observations on own-produced clothes, but since these are very small amounts, they are lumped with purchased


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2334" name="MCLO" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="529" EndPos="534" width="6" RecSegNo="1"/>
      <labl>
        Clothing material expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.143476744186046" max="255.044074436826"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        246
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        83304.34
      </sumStat>
      <sumStat type="invd">
        2651
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        860863.444
      </sumStat>
      <sumStat type="min">
        0.143
      </sumStat>
      <sumStat type="max">
        255.044
      </sumStat>
      <sumStat type="mean">
        26.165
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        24.05
      </sumStat>
      <sumStat type="stdev">
        34.096
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        32.337
      </sumStat>
      <txt>
        Clothing material of all kind of fibers, tailoring and accessories
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2335" name="CHAR" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="535" EndPos="540" width="6" RecSegNo="1"/>
      <labl>
        Tailoring charges expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.353816610657705" max="264.24649176327"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        391
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        126689.132
      </sumStat>
      <sumStat type="invd">
        2506
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        817478.652
      </sumStat>
      <sumStat type="min">
        0.354
      </sumStat>
      <sumStat type="max">
        264.246
      </sumStat>
      <sumStat type="mean">
        16.094
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        16.037
      </sumStat>
      <sumStat type="stdev">
        27.556
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        27.768
      </sumStat>
      <txt>
        All tailoring, cleaning, repairing charges of clothes
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2336" name="FOOTW" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="541" EndPos="546" width="6" RecSegNo="1"/>
      <labl>
        Footwear expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.765251072070825" max="799.711434685987"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2727
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        894683.096
      </sumStat>
      <sumStat type="invd">
        170
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        49484.688
      </sumStat>
      <sumStat type="min">
        0.765
      </sumStat>
      <sumStat type="max">
        799.711
      </sumStat>
      <sumStat type="mean">
        83.201
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        81.284
      </sumStat>
      <sumStat type="stdev">
        72.493
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        69.92
      </sumStat>
      <txt>
        Shoes, sandals, boots and slipper for men and women, excluding those for school
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes repairing and hire charges


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2337" name="SCHCLTH" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="547" EndPos="552" width="6" RecSegNo="1"/>
      <labl>
        School Clothes, Uniforms and Footwear expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.414115893513824" max="258.919463169925"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1755
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        584603.804
      </sumStat>
      <sumStat type="invd">
        1142
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        359563.98
      </sumStat>
      <sumStat type="min">
        0.414
      </sumStat>
      <sumStat type="max">
        258.919
      </sumStat>
      <sumStat type="mean">
        23.55
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        22.711
      </sumStat>
      <sumStat type="stdev">
        22.755
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        22.612
      </sumStat>
      <txt>
        School Clothes, Uniforms and Footwear expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2338" name="HOUSEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="553" EndPos="561" width="9" RecSegNo="1"/>
      <labl>
        Expenses on housing and utilities
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="158.348108728625" max="125045.336210138"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        158.348
      </sumStat>
      <sumStat type="max">
        125045.336
      </sumStat>
      <sumStat type="mean">
        1797.642
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1672.347
      </sumStat>
      <sumStat type="stdev">
        2716.854
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2088.259
      </sumStat>
      <txt>
        Expenses on housing (actual and imputed rentals and maintenance and repair of the dwelling), water (water supply and miscellaneous services relating to the dwelling), electricity, gas and other fuels. Renovation costs as well as expenditure on furniture are excluded, as well as expenditure on mortgage (both the capital and interest part). Ideally, corresponds to Code 04 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ARHOUS+IMPREN+REPDW+WDWE+EDWE


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2339" name="ARHOUS" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="562" EndPos="568" width="7" RecSegNo="1"/>
      <labl>
        Actual rentals for housing expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="29.7581573896352" max="4630.26619233827"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        670
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        226638.828
      </sumStat>
      <sumStat type="invd">
        2227
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        717528.956
      </sumStat>
      <sumStat type="min">
        29.758
      </sumStat>
      <sumStat type="max">
        4630.266
      </sumStat>
      <sumStat type="mean">
        983.431
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        934.082
      </sumStat>
      <sumStat type="stdev">
        638.761
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        604.651
      </sumStat>
      <txt>
        Actual rentals paid by tenants and other actual rentals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Rentals include payment for the use of the land on which the property stands, the dwelling occupied , the fixtures and fittings for heating, plumbing, lighting, etc., and, in the case of a dwelling let furnished, the furniture.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2340" name="IMPREN" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="569" EndPos="577" width="9" RecSegNo="1"/>
      <labl>
        Imputed rentals for housing expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="114.663431761824" max="120014.069745132"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2261
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        728677.34
      </sumStat>
      <sumStat type="invd">
        636
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        215490.444
      </sumStat>
      <sumStat type="min">
        114.663
      </sumStat>
      <sumStat type="max">
        120014.07
      </sumStat>
      <sumStat type="mean">
        1231.022
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1121.941
      </sumStat>
      <sumStat type="stdev">
        2810.22
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2114.516
      </sumStat>
      <txt>
        Imputed rentals of owners occupying their main residence and other imputed rentals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes also imputed rentals for secondary residences and imputed rentals of households paying a reduced rental or housed free.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2341" name="REPDW" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="578" EndPos="584" width="7" RecSegNo="1"/>
      <labl>
        Maintenance and repair for the Dwelling expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.245662505754165" max="1497.46868924733"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        83
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        27236.808
      </sumStat>
      <sumStat type="invd">
        2814
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        916930.976
      </sumStat>
      <sumStat type="min">
        0.246
      </sumStat>
      <sumStat type="max">
        1497.469
      </sumStat>
      <sumStat type="mean">
        141.262
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        200.465
      </sumStat>
      <sumStat type="stdev">
        221.161
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        355.852
      </sumStat>
      <txt>
        Materials and services for the maintenance and repair of the dwelling
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Only expenditures which tenants and owner-occupiers incur on materials and services for minor maintenance and repair are part of individual consumption expenditure of households. Renovation costs as well as expenditure on materials and services for major maintenance and repair are excluded, as well as expenditure on mortgage (both the capital and interest part). 
Considered as expenses on non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2342" name="WDWE" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="585" EndPos="591" width="7" RecSegNo="1"/>
      <labl>
        Water supply and miscellaneous services relating to the dwelling expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.81629633137094" max="5223.18664916151"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2895
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        943791.604
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        376.18
      </sumStat>
      <sumStat type="min">
        2.816
      </sumStat>
      <sumStat type="max">
        5223.187
      </sumStat>
      <sumStat type="mean">
        124.929
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        114.693
      </sumStat>
      <sumStat type="stdev">
        211.155
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        193.896
      </sumStat>
      <txt>
        Water supply, refuse collection, sewage collection and others
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes also co-proprietor charges for caretaking, gardening, heating and lighting, etc. in multi-occupied buildings; security services


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2343" name="EDWE" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="592" EndPos="598" width="7" RecSegNo="1"/>
      <labl>
        Electricity, gas and other fuels expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="28.7640432158099" max="4409.21416977754"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        28.764
      </sumStat>
      <sumStat type="max">
        4409.214
      </sumStat>
      <sumStat type="mean">
        480.543
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        461.823
      </sumStat>
      <sumStat type="stdev">
        341.461
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        313.693
      </sumStat>
      <txt>
        Electricity, Gas, Liquid and solid fuels, Heat energy
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2344" name="EQUIPEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="599" EndPos="606" width="8" RecSegNo="1"/>
      <labl>
        Expenses on furniture &amp; housing equipment
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.211548884719616" max="41290.2874259121"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2895
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        943913.448
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        254.336
      </sumStat>
      <sumStat type="min">
        0.212
      </sumStat>
      <sumStat type="max">
        41290.287
      </sumStat>
      <sumStat type="mean">
        420.898
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        407.98
      </sumStat>
      <sumStat type="stdev">
        1244.888
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1194.556
      </sumStat>
      <txt>
        Expenses on furnishings (furniture and furnishings, carpets and other floor coverings), household equipment (household textiles, household appliances, glassware, tableware and household utensils, tools and equipment for house and garden) and goods and services for routine household maintenance. Ideally, corresponds to Code 05 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=HSFUR+FURREP+HSTEX+MHAPL+SHAPL+RAPPL+HUST+MHOPE+SHOPE+HSGS


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2345" name="HSFUR" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="607" EndPos="614" width="8" RecSegNo="1"/>
      <labl>
        Housing furnishings and furniture expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.157808381192932" max="38773.865404235"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1022
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        346638.296
      </sumStat>
      <sumStat type="invd">
        1875
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        597529.488
      </sumStat>
      <sumStat type="min">
        0.158
      </sumStat>
      <sumStat type="max">
        38773.865
      </sumStat>
      <sumStat type="mean">
        386.239
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        367.739
      </sumStat>
      <sumStat type="stdev">
        1706.353
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1541.913
      </sumStat>
      <txt>
        Furniture and furnishings, carpets and other floor coverings
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Beds, sofas, couches, tables, chairs, etc., lighting equipment, pictures, sculptures, screens, loose and fitted carpets, etc.
Durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2346" name="FURREP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="615" EndPos="621" width="7" RecSegNo="1"/>
      <labl>
        Housing furnishings and furniture repair expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.00470582498232" max="1362.01038270696"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        66
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        24265.636
      </sumStat>
      <sumStat type="invd">
        2831
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        919902.148
      </sumStat>
      <sumStat type="min">
        2.005
      </sumStat>
      <sumStat type="max">
        1362.01
      </sumStat>
      <sumStat type="mean">
        140.614
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        141.654
      </sumStat>
      <sumStat type="stdev">
        260.925
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        245.099
      </sumStat>
      <txt>
        Furniture and furnishings repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable includes repair of furniture and furnishings
Non-Durable

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2347" name="HSTEX" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="622" EndPos="628" width="7" RecSegNo="1"/>
      <labl>
        Household textiles expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.734655388175292" max="3571.4904538819"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        876
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        285549.892
      </sumStat>
      <sumStat type="invd">
        2021
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        658617.892
      </sumStat>
      <sumStat type="min">
        0.735
      </sumStat>
      <sumStat type="max">
        3571.49
      </sumStat>
      <sumStat type="mean">
        83.149
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        89.537
      </sumStat>
      <sumStat type="stdev">
        183.742
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        210.097
      </sumStat>
      <txt>
        Furnishing fabrics, bedding, bed linen table linen and bathroom linen and repair of such articles.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Non durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2348" name="MHAPL" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="629" EndPos="635" width="7" RecSegNo="1"/>
      <labl>
        Major Household appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.99251585610003" max="5063.69059738567"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        614
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        200692.872
      </sumStat>
      <sumStat type="invd">
        2283
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        743474.912
      </sumStat>
      <sumStat type="min">
        5.993
      </sumStat>
      <sumStat type="max">
        5063.691
      </sumStat>
      <sumStat type="mean">
        273.047
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        262.418
      </sumStat>
      <sumStat type="stdev">
        498.34
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        486.724
      </sumStat>
      <txt>
        Major household appliances whether electric or not
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Refrigerators, freezers and fridge-freezers;
- washing machines, dryers, drying cabinets, dishwashers, ironing and pressing machines;
- cookers, spit roasters, hobs, ranges, ovens and microwave ovens;
- air-conditioners, humidifiers, space heaters, water heaters, ventilators and extractor hoods;
- vacuum cleaners, steam-cleaning machines, carpet shampooing machines and machines for scrubbing, waxing and polishing floors;
- other major household appliances such as safes, sewing machines, knitting machines, water softeners, etc.
Includes: delivery and installation of the appliances when applicable.
Excludes: such appliances that are built into the structure of the building 
Considered as expenses on durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2349" name="SHAPL" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="636" EndPos="642" width="7" RecSegNo="1"/>
      <labl>
        Small Household appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.384652230645987" max="1796.7413045894"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        210
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        67015.312
      </sumStat>
      <sumStat type="invd">
        2687
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        877152.472
      </sumStat>
      <sumStat type="min">
        0.385
      </sumStat>
      <sumStat type="max">
        1796.741
      </sumStat>
      <sumStat type="mean">
        86.278
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        84.051
      </sumStat>
      <sumStat type="stdev">
        164.041
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        143.179
      </sumStat>
      <txt>
        Small electric appliances
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Coffee mills, coffee-makers, juice extractors, can-openers, food mixers, deep fryers, meat grills, knives, toasters, ice cream makers, hotplates, irons, electric blankets, etc. 
Excludes: small non-electric household articles and kitchen utensils etc.
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2350" name="RAPPL" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="643" EndPos="648" width="6" RecSegNo="1"/>
      <labl>
        Repair of appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1.53700568303181" max="586.745060088529"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        372
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        119059.976
      </sumStat>
      <sumStat type="invd">
        2525
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        825107.808
      </sumStat>
      <sumStat type="min">
        1.537
      </sumStat>
      <sumStat type="max">
        586.745
      </sumStat>
      <sumStat type="mean">
        46.01
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        44.021
      </sumStat>
      <sumStat type="stdev">
        62.591
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        64.648
      </sumStat>
      <txt>
        Repair of appliances expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Total value of the service (that is, both the cost of labour and the cost of materials are covered); charges for the leasing or rental of major household appliances.
Excludes: separate purchases of materials made by households with the intention of undertaking the repair themselves 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2351" name="HUST" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="649" EndPos="654" width="6" RecSegNo="1"/>
      <labl>
        Glassware, tableware and household utensils expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.555836230135142" max="482.304865504803"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2405
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        784811.684
      </sumStat>
      <sumStat type="invd">
        492
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        159356.1
      </sumStat>
      <sumStat type="min">
        0.556
      </sumStat>
      <sumStat type="max">
        482.305
      </sumStat>
      <sumStat type="mean">
        36.017
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        34.948
      </sumStat>
      <sumStat type="stdev">
        42.947
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        41.466
      </sumStat>
      <txt>
        Glassware, crystal and ceramic ware, non-electric kitchen utensils etc. and their repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2352" name="MHOPE" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="655" EndPos="658" width="4" RecSegNo="1"/>
      <labl>
        Major other housing equipment and operation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Major tools and equipment for house and garden,
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Motorized tools and equipment such as electric drills, saws, sanders and hedge cutters, garden tractors, lawnmowers, cultivators, chainsaws and water pumps;
- repair of such articles.
Includes: charges for the leasing or rental of do-it-yourself machinery and equipment.
Considered as expenses on durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2353" name="SHOPE" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="659" EndPos="664" width="6" RecSegNo="1"/>
      <labl>
        Small other housing equipment and operation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.61294416243654" max="185.571428571428"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        27
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9542.04
      </sumStat>
      <sumStat type="invd">
        2870
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        934625.744
      </sumStat>
      <sumStat type="min">
        5.613
      </sumStat>
      <sumStat type="max">
        185.571
      </sumStat>
      <sumStat type="mean">
        20.869
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        14.012
      </sumStat>
      <sumStat type="stdev">
        35.145
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        21.502
      </sumStat>
      <txt>
        Small tools and miscellaneous accessories
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Hand tools, garden tools, small electric accessories and their repair 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2354" name="HSGS" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="665" EndPos="671" width="7" RecSegNo="1"/>
      <labl>
        Goods and services for routine household maintenance expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.211548884719616" max="2405.34263804551"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2894
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        943587.52
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        580.264
      </sumStat>
      <sumStat type="min">
        0.212
      </sumStat>
      <sumStat type="max">
        2405.343
      </sumStat>
      <sumStat type="mean">
        156.039
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        145.742
      </sumStat>
      <sumStat type="stdev">
        197.137
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        181.478
      </sumStat>
      <txt>
        Non-durable household goods and domestic services
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 Cleaning products such as soaps, washing powder etc. 
Domestic & cleaning services such as cooks, maids, drivers, gardeners, dry clean etc. 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2355" name="MEDEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="672" EndPos="679" width="8" RecSegNo="1"/>
      <labl>
        Expenses on health
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.27940074906367" max="15103.2231765708"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2651
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        866191.404
      </sumStat>
      <sumStat type="invd">
        246
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        77976.38
      </sumStat>
      <sumStat type="min">
        0.279
      </sumStat>
      <sumStat type="max">
        15103.223
      </sumStat>
      <sumStat type="mean">
        230.303
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        221.773
      </sumStat>
      <sumStat type="stdev">
        612.489
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        663.937
      </sumStat>
      <txt>
        Expenses on health, including medical products, appliances and equipment, outpatient services, and hospital services. Payments for health insurances are excluded. Ideally, corresponds to Code 06 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=PMEDP+TAEQ+MEDSERV+MEDABR


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2356" name="PMEDP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="680" EndPos="686" width="7" RecSegNo="1"/>
      <labl>
        Pharmaceutical and other medical products expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.27940074906367" max="4499.42853393773"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2569
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        841694.208
      </sumStat>
      <sumStat type="invd">
        328
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        102473.576
      </sumStat>
      <sumStat type="min">
        0.279
      </sumStat>
      <sumStat type="max">
        4499.429
      </sumStat>
      <sumStat type="mean">
        104.673
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        93.788
      </sumStat>
      <sumStat type="stdev">
        211.968
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        186.543
      </sumStat>
      <txt>
        Medicinal preparations, drugs, vaccines, vitamins etc. and clinical thermometers, adhesive etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
They are intended for consumption or use outside a health facility or institution. 
non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2357" name="TAEQ" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="687" EndPos="692" width="6" RecSegNo="1"/>
      <labl>
        Therapeutic appliances and equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5.7672783944531" max="371.557721209529"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        101
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        38932.516
      </sumStat>
      <sumStat type="invd">
        2796
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        905235.268
      </sumStat>
      <sumStat type="min">
        5.767
      </sumStat>
      <sumStat type="max">
        371.558
      </sumStat>
      <sumStat type="mean">
        64.078
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        65.584
      </sumStat>
      <sumStat type="stdev">
        57.139
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        53.738
      </sumStat>
      <txt>
        Corrective eyeglasses and contact lenses, hearing aids, glass eyes, artificial limbs and other prosthetic devices, orthopedic braces and supports, orthopedic footwear, surgical belts, trusses and supports, neck braces, medical massage equipment and health lamps, powered and unpowered wheelchairs and invalid carriages, "special" beds, crutches, electronic and other devices for monitoring blood pressure, etc.;
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
They are intended for consumption or use outside a health facility or institution. 
durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2358" name="MEDSERV" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="693" EndPos="700" width="8" RecSegNo="1"/>
      <labl>
        Outpatient and Hospital services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.039022323455158" max="15096.0185249878"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2013
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        656359.228
      </sumStat>
      <sumStat type="invd">
        884
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        287808.556
      </sumStat>
      <sumStat type="min">
        0.039
      </sumStat>
      <sumStat type="max">
        15096.019
      </sumStat>
      <sumStat type="mean">
        166.234
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        168.265
      </sumStat>
      <sumStat type="stdev">
        582.716
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        687.541
      </sumStat>
      <txt>
        <![CDATA[Medical, dental and paramedical services delivered to outpatients by medical, dental and paramedical practitioners and auxiliaries.
Services of general and specialist hospitals, the services of medical centers, maternity centers, nursing homes and convalescent homes which chiefly provide in-patient health care, the services of institutions serving old people in which medical monitoring is an essential component and the services of rehabilitation centers providing in-patient health care and rehabilitative therapy where the objective is to treat the patient rather than to provide long-term support]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The services may be delivered at home, in individual or group consulting facilities, dispensaries or the outpatient clinics of hospitals and the like.
Hospital day-care and home-based hospital treatment are included as are hospices for terminally ill persons.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2359" name="MEDABR" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="701" EndPos="706" width="6" RecSegNo="1"/>
      <labl>
        Expenses on medical services Abroad
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="527.217465753424" max="527.217465753424"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        305.664
      </sumStat>
      <sumStat type="invd">
        2896
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        943862.12
      </sumStat>
      <sumStat type="min">
        527.217
      </sumStat>
      <sumStat type="max">
        527.217
      </sumStat>
      <sumStat type="mean">
        527.217
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        527.217
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0
      </sumStat>
      <txt>
        Includes all expenses on trips for medical/therapy purposes other than those spent on transportation or accommodation
      </txt>
      <catgry>
        <catValu>
          527.217465753424
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          305.664
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2896
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          943862.12
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2360" name="TRANEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="707" EndPos="714" width="8" RecSegNo="1"/>
      <labl>
        Expenses on transport
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="34754.9976846245"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1351
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        420688.004
      </sumStat>
      <sumStat type="invd">
        1546
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        523479.78
      </sumStat>
      <sumStat type="min">
        6
      </sumStat>
      <sumStat type="max">
        34754.998
      </sumStat>
      <sumStat type="mean">
        855.23
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        772.632
      </sumStat>
      <sumStat type="stdev">
        2582.068
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2315.523
      </sumStat>
      <txt>
        Expenses on transport, including purchase of vehicles, operation of personal transport equipment, and transport services. Ideally, corresponds to Code 07 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=TRVEH+OTEQ+TRSERV+SCHSERV


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2361" name="TRVEH" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="715" EndPos="722" width="8" RecSegNo="1"/>
      <labl>
        Purchase of transportation vehicles expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="300" max="34754.9976846245"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        70
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20416.244
      </sumStat>
      <sumStat type="invd">
        2827
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        923751.54
      </sumStat>
      <sumStat type="min">
        300
      </sumStat>
      <sumStat type="max">
        34754.998
      </sumStat>
      <sumStat type="mean">
        8856.666
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        7932.51
      </sumStat>
      <sumStat type="stdev">
        6979.958
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        6694.58
      </sumStat>
      <txt>
        Purchase of car, bicycles and animal trucked vehicles
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Excludes purchases of recreational vehicles such as camper vans, caravans, trailers, and boats 
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2362" name="OTEQ" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="723" EndPos="729" width="7" RecSegNo="1"/>
      <labl>
        Operation of personal transport equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="3.72355635302178" max="5952.76897987351"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1184
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        359799.772
      </sumStat>
      <sumStat type="invd">
        1713
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        584368.012
      </sumStat>
      <sumStat type="min">
        3.724
      </sumStat>
      <sumStat type="max">
        5952.769
      </sumStat>
      <sumStat type="mean">
        350.126
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        353.191
      </sumStat>
      <sumStat type="stdev">
        489.051
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        518.336
      </sumStat>
      <txt>
        Fuels, petrol and purchases of spare parts, accessories or lubricants made by households with the intention of undertaking the maintenance, repair or intervention and services paid to enterprise for carrying out the maintenance, repair or fitting
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2363" name="TRSERV" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="730" EndPos="736" width="7" RecSegNo="1"/>
      <labl>
        Transportation services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="4123.20696867678"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        320
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        101530.26
      </sumStat>
      <sumStat type="invd">
        2577
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        842637.524
      </sumStat>
      <sumStat type="min">
        6
      </sumStat>
      <sumStat type="max">
        4123.207
      </sumStat>
      <sumStat type="mean">
        345.224
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        323.293
      </sumStat>
      <sumStat type="stdev">
        490.084
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        451.74
      </sumStat>
      <txt>
        Transportation by railway, road, air, sea and any other than school transport services
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Ambulance services are excluded 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2364" name="SCHSERV" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="737" EndPos="743" width="7" RecSegNo="1"/>
      <labl>
        School Transportation services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="39.9393368975655" max="2061.92668270651"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        31
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9401.468
      </sumStat>
      <sumStat type="invd">
        2866
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        934766.316
      </sumStat>
      <sumStat type="min">
        39.939
      </sumStat>
      <sumStat type="max">
        2061.927
      </sumStat>
      <sumStat type="mean">
        336.404
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        338.535
      </sumStat>
      <sumStat type="stdev">
        387.806
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        340.002
      </sumStat>
      <txt>
        School Transportation services expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some surveys, expenses on school transportation services might be lumped with transport services or education expenditures, in that case the variable would be missing


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2365" name="COMMEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="744" EndPos="750" width="7" RecSegNo="1"/>
      <labl>
        Expenses on communication
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.6" max="7567.75862113452"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2848
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        929946.804
      </sumStat>
      <sumStat type="invd">
        49
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        14220.98
      </sumStat>
      <sumStat type="min">
        2.6
      </sumStat>
      <sumStat type="max">
        7567.759
      </sumStat>
      <sumStat type="mean">
        880.8
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        824.993
      </sumStat>
      <sumStat type="stdev">
        826.796
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        783.851
      </sumStat>
      <txt>
        Expenses on communication, including postal services, telephone and telefax equipment, and telephone and telefax services. Ideally, corresponds to Code 08 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=PTTSERV+TTEQP


COUNTRY SPECIFIC NOTES
----------------------------------
Other transport and communication expenses were added to communication together with other products for which the codes are not labeled]]>
      </notes>
    </var>
    <var ID="V2366" name="PTTSERV" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="751" EndPos="757" width="7" RecSegNo="1"/>
      <labl>
        Postal telephone and telefax services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.6" max="7567.75862113452"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2848
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        929946.804
      </sumStat>
      <sumStat type="invd">
        49
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        14220.98
      </sumStat>
      <sumStat type="min">
        2.6
      </sumStat>
      <sumStat type="max">
        7567.759
      </sumStat>
      <sumStat type="mean">
        849.783
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        795.397
      </sumStat>
      <sumStat type="stdev">
        809.685
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        771.329
      </sumStat>
      <txt>
        Installation and subscription costs of personal telephone equipment; telephone calls etc. delivery of letters etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2367" name="TTEQP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="758" EndPos="764" width="7" RecSegNo="1"/>
      <labl>
        Telephone and telefax equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.39020873767114" max="1433.71571902644"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        543
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        183646.636
      </sumStat>
      <sumStat type="invd">
        2354
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        760521.148
      </sumStat>
      <sumStat type="min">
        2.39
      </sumStat>
      <sumStat type="max">
        1433.716
      </sumStat>
      <sumStat type="mean">
        162.682
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        149.864
      </sumStat>
      <sumStat type="stdev">
        184.713
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        162.069
      </sumStat>
      <txt>
        Purchases of telephones, telefax machines, etc. and their repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2368" name="CULTEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="765" EndPos="771" width="7" RecSegNo="1"/>
      <labl>
        Expenses on recreation and culture
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.292534715025907" max="9558.57975087225"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2325
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        761944.864
      </sumStat>
      <sumStat type="invd">
        572
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        182222.92
      </sumStat>
      <sumStat type="min">
        0.293
      </sumStat>
      <sumStat type="max">
        9558.58
      </sumStat>
      <sumStat type="mean">
        200.96
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        191.707
      </sumStat>
      <sumStat type="stdev">
        557.905
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        536.668
      </sumStat>
      <txt>
        Expenses on recreation and culture, including audio-visual, photographic and information processing equipment, other major durables for recreation and culture, other recreational items and equipment, gardens and pets, recreational and cultural services, newspapers, books and stationery, package holidays. Ideally, corresponds to Code 09 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CULDUR+CULEQP+CULSER+SCHCUL


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2369" name="CULDUR" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="772" EndPos="778" width="7" RecSegNo="1"/>
      <labl>
        Durables for recreation and culture expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.68191489361702" max="2029.41176470588"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        265
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        91458.944
      </sumStat>
      <sumStat type="invd">
        2632
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        852708.84
      </sumStat>
      <sumStat type="min">
        2.682
      </sumStat>
      <sumStat type="max">
        2029.412
      </sumStat>
      <sumStat type="mean">
        211.451
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        225.411
      </sumStat>
      <sumStat type="stdev">
        312.778
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        346.877
      </sumStat>
      <txt>
        Audio-visual, photographic and information processing equipment, Camper vans, boats, horse and pony etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2370" name="CULEQP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="779" EndPos="784" width="6" RecSegNo="1"/>
      <labl>
        Recreation and cultural equipments expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.292534715025907" max="356.728228426909"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1046
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        373373.312
      </sumStat>
      <sumStat type="invd">
        1851
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        570794.472
      </sumStat>
      <sumStat type="min">
        0.293
      </sumStat>
      <sumStat type="max">
        356.728
      </sumStat>
      <sumStat type="mean">
        28.577
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        28.641
      </sumStat>
      <sumStat type="stdev">
        43.293
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        41.784
      </sumStat>
      <txt>
        Games, toys and hobbies , Equipment for sport, camping and open-air recreation etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2371" name="CULSER" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="785" EndPos="791" width="7" RecSegNo="1"/>
      <labl>
        Recreation and culture services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.41210791447442" max="9558.57975087225"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        900
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        287000.024
      </sumStat>
      <sumStat type="invd">
        1997
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        657167.76
      </sumStat>
      <sumStat type="min">
        0.412
      </sumStat>
      <sumStat type="max">
        9558.58
      </sumStat>
      <sumStat type="mean">
        306.465
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        288.857
      </sumStat>
      <sumStat type="stdev">
        807.52
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        778.87
      </sumStat>
      <txt>
        cinemas, theatres, opera houses games, Newspapers, books and stationery, etc. holidays or tours which provide for travel, food, accommodation, guides
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Excluding school books and stationary


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2372" name="SCHCUL" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="792" EndPos="797" width="6" RecSegNo="1"/>
      <labl>
        School recreation and culture services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.330017314037437" max="619.324081794596"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1962
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        643947.496
      </sumStat>
      <sumStat type="invd">
        935
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        300220.288
      </sumStat>
      <sumStat type="min">
        0.33
      </sumStat>
      <sumStat type="max">
        619.324
      </sumStat>
      <sumStat type="mean">
        53.766
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        49.474
      </sumStat>
      <sumStat type="stdev">
        69.08
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        63.288
      </sumStat>
      <txt>
        School books and stationery, etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2373" name="EDUCEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="798" EndPos="805" width="8" RecSegNo="1"/>
      <labl>
        Expenses on education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1.44665114367895" max="25188.4246934557"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2089
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        683934.616
      </sumStat>
      <sumStat type="invd">
        808
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        260233.168
      </sumStat>
      <sumStat type="min">
        1.447
      </sumStat>
      <sumStat type="max">
        25188.425
      </sumStat>
      <sumStat type="mean">
        706.94
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        617.641
      </sumStat>
      <sumStat type="stdev">
        1602.728
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1399.408
      </sumStat>
      <txt>
        <![CDATA[Expenses on education, including pre-primary and primary education, secondary education, post-secondary non-tertiary education, tertiary education, and education not definable by level. Ideally, corresponds to Code 10 of the COICOP classification.
It covers educational services only and does not include expenditures on educational materials, such as books, catering and transport services etc.]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=PREDUC+SEDUC+TEDUC+OEDUC+EDUCABR


COUNTRY SPECIFIC NOTES
----------------------------------
Most of the education expenses items were added to other education since they were not identified by level of education]]>
      </notes>
    </var>
    <var ID="V2374" name="PREDUC" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="806" EndPos="812" width="7" RecSegNo="1"/>
      <labl>
        Expenses on pre-primary and primary education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="9.21268751589118" max="1880.3598654311"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        289
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        101898.296
      </sumStat>
      <sumStat type="invd">
        2608
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        842269.488
      </sumStat>
      <sumStat type="min">
        9.213
      </sumStat>
      <sumStat type="max">
        1880.36
      </sumStat>
      <sumStat type="mean">
        166.015
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        151.998
      </sumStat>
      <sumStat type="stdev">
        212.29
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        188.47
      </sumStat>
      <txt>
        Includes also expenses on literacy programs for students too old for primary school, including private tutoring and tutoring groups
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2375" name="SEDUC" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="813" EndPos="816" width="4" RecSegNo="1"/>
      <labl>
        Expenses on lower and upper-secondary education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Includes also out-of-school secondary education for adults and young people, private tutoring and tutoring groups
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2376" name="TEDUC" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="817" EndPos="824" width="8" RecSegNo="1"/>
      <labl>
        Expenses on tertiary education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="39.3939393939394" max="14502.9981036299"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        465
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        140424.86
      </sumStat>
      <sumStat type="invd">
        2432
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        803742.924
      </sumStat>
      <sumStat type="min">
        39.394
      </sumStat>
      <sumStat type="max">
        14502.998
      </sumStat>
      <sumStat type="mean">
        1628.359
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1581.713
      </sumStat>
      <sumStat type="stdev">
        1571.173
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1412.453
      </sumStat>
      <txt>
        Expenses on first and second stage of tertiary education, including private tutoring and tutoring groups
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2377" name="OEDUC" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="825" EndPos="832" width="8" RecSegNo="1"/>
      <labl>
        Expenses on education not defined by level
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1.44665114367895" max="13369.5424314645"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1907
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        623611.776
      </sumStat>
      <sumStat type="invd">
        990
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        320556.008
      </sumStat>
      <sumStat type="min">
        1.447
      </sumStat>
      <sumStat type="max">
        13369.542
      </sumStat>
      <sumStat type="mean">
        315.68
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        267.007
      </sumStat>
      <sumStat type="stdev">
        965.999
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        830.665
      </sumStat>
      <txt>
        Educational programs, generally for adults, which do not require any special prior instruction, in particular vocational training and cultural development.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2378" name="EDUCABR" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="833" EndPos="840" width="8" RecSegNo="1"/>
      <labl>
        Expenses on education Abroad
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="627.128314653839" max="13846.1221506277"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        17
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5124.736
      </sumStat>
      <sumStat type="invd">
        2880
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        939043.048
      </sumStat>
      <sumStat type="min">
        627.128
      </sumStat>
      <sumStat type="max">
        13846.122
      </sumStat>
      <sumStat type="mean">
        4095.995
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3574.187
      </sumStat>
      <sumStat type="stdev">
        4088.798
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3724.398
      </sumStat>
      <txt>
        Includes all expenses on trips for education purposes other than those spent on transportation or accommodation
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2379" name="RESTOEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="841" EndPos="847" width="7" RecSegNo="1"/>
      <labl>
        Expenses on restaurants and hotels
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.54154319393242" max="6684.4402096236"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2635
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        867414.848
      </sumStat>
      <sumStat type="invd">
        262
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        76752.936
      </sumStat>
      <sumStat type="min">
        2.542
      </sumStat>
      <sumStat type="max">
        6684.44
      </sumStat>
      <sumStat type="mean">
        178.447
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        182.412
      </sumStat>
      <sumStat type="stdev">
        235.544
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        263.911
      </sumStat>
      <txt>
        Expenses on restaurants (catering services) and hotels (accommodation services). Ideally, corresponds to Code 11 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CATSERV+SCHRST+ACCOM


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2380" name="CATSER" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="848" EndPos="854" width="7" RecSegNo="1"/>
      <labl>
        Catering services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.54154319393242" max="6684.4402096236"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2633
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        866904.116
      </sumStat>
      <sumStat type="invd">
        264
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        77263.668
      </sumStat>
      <sumStat type="min">
        2.542
      </sumStat>
      <sumStat type="max">
        6684.44
      </sumStat>
      <sumStat type="mean">
        177.868
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        181.782
      </sumStat>
      <sumStat type="stdev">
        234.802
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        263.374
      </sumStat>
      <txt>
        <![CDATA[Meals, snacks, and drinks provided by restaurants, cafés, etc., including those provided:
- in cultural, sporting or entertainment services: theatres, cinemas, sports stadiums, etc.; on public transport 
- ready to take food products and beverages, the sale of cooked dishes by catering contractors, 
- catering services of works canteens, and canteens in schools, universities etc.]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2381" name="SCHRST" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="855" EndPos="858" width="4" RecSegNo="1"/>
      <labl>
        School restaurants expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Meals, snacks, and drinks provided in school restaurants
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many countries, those expenses are lumped with catering services.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2382" name="ACCOM" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="859" EndPos="865" width="7" RecSegNo="1"/>
      <labl>
        Accommodation and hotel expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.773376249668305" max="1081.75637835577"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1419
      </sumStat>
      <sumStat type="invd">
        2893
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        942748.784
      </sumStat>
      <sumStat type="min">
        0.773
      </sumStat>
      <sumStat type="max">
        1081.756
      </sumStat>
      <sumStat type="mean">
        470.381
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        450.632
      </sumStat>
      <sumStat type="stdev">
        483.205
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        354.236
      </sumStat>
      <txt>
        <![CDATA[Accommodation services of:
- hotels, boarding houses, motels, inns and establishments offering "bed and breakfast";
- holiday villages and holiday centers, camping and caravan sites, youth hostels and mountain chalets;
- boarding schools, universities and other educational establishments;
- public transport (trains, boats, etc.) when priced separately;
- hostels for young workers or immigrants.]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2383" name="MISCEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="866" EndPos="872" width="7" RecSegNo="1"/>
      <labl>
        Expenses on miscellaneous goods and services
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.53013568148129" max="5664.35055045701"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2890
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        941988.936
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2178.848
      </sumStat>
      <sumStat type="min">
        2.53
      </sumStat>
      <sumStat type="max">
        5664.351
      </sumStat>
      <sumStat type="mean">
        271.564
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        264.106
      </sumStat>
      <sumStat type="stdev">
        345.304
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        339.689
      </sumStat>
      <txt>
        Expenses on miscellaneous goods and services, such as personal care, personal effects n.e.c., social protection, insurance, financial services n.e.c., other services n.e.c. Ideally, corresponds to Code 12 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Some surveys may report information on taxes and remittances without clear specification of the nature of the tax expenses… these expenditures are included in this part. 
=PCEXP+SPEXP+FEXP+FEES+PTRANSF


COUNTRY SPECIFIC NOTES
----------------------------------
Other consumption expenses was added to miscellaneous goods and services expenses]]>
      </notes>
    </var>
    <var ID="V2384" name="PCEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="873" EndPos="879" width="7" RecSegNo="1"/>
      <labl>
        Personal care and personal effects expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.53013568148129" max="4485.41978172312"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2889
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        941784.852
      </sumStat>
      <sumStat type="invd">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2382.932
      </sumStat>
      <sumStat type="min">
        2.53
      </sumStat>
      <sumStat type="max">
        4485.42
      </sumStat>
      <sumStat type="mean">
        229.072
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        225.551
      </sumStat>
      <sumStat type="stdev">
        277.457
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        273.539
      </sumStat>
      <txt>
        Hairdressing salons and appliances for personal care, Jewellery, clocks and miscellaneous personal articles
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Electric razors, hairdryers, electric toothbrushes etc. are included in this subgroup



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2385" name="SPEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="880" EndPos="883" width="4" RecSegNo="1"/>
      <labl>
        Social protection expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Covers assistance and support services provided to persons who are elderly, disabled, unemployed, homeless, low-income earners, immigrants, refugees, etc. It also covers assistance and support services provided to families and children.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2386" name="FEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="884" EndPos="889" width="6" RecSegNo="1"/>
      <labl>
        Insurance and financial services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1.59861325115562" max="692.276371538683"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        166
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        49976.86
      </sumStat>
      <sumStat type="invd">
        2731
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        894190.924
      </sumStat>
      <sumStat type="min">
        1.599
      </sumStat>
      <sumStat type="max">
        692.276
      </sumStat>
      <sumStat type="mean">
        156.771
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        143.361
      </sumStat>
      <sumStat type="stdev">
        95.356
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        93.776
      </sumStat>
      <txt>
        Service charges for insurance such as life insurance and non-life insurance (that is, insurance in connection with the dwelling, health, transport, etc.). Service charges for multi-risk insurance covering several risks should be classified on the basis of the cost of the principal risk if it is not possible to allocate the service charges to the various risks covered. Actual charges for the financial services of banks
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Service charge for insurance is defined as the difference between claims due and premiums earned and premium supplement


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2387" name="FEES" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="890" EndPos="896" width="7" RecSegNo="1"/>
      <labl>
        Penalties and other fees expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="5464.61920823717"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        726
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        235832.072
      </sumStat>
      <sumStat type="invd">
        2171
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        708335.712
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        5464.619
      </sumStat>
      <sumStat type="mean">
        96.841
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        92.918
      </sumStat>
      <sumStat type="stdev">
        254.492
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        261.758
      </sumStat>
      <txt>
        Financial penalties, traffic violation fees etc., fees for issuing passport ID cards, visas, birth certificate, driving license etc. membership fees.. And other non specified fees
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2388" name="PTRANSF" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="897" EndPos="900" width="4" RecSegNo="1"/>
      <labl>
        Private transfers given expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Remittances inside and outside the country, gifts to relatives cash or in-kind, charities, zakat , Alimony etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2389" name="TOTFOOD" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="901" EndPos="908" width="8" RecSegNo="1"/>
      <labl>
        Total food expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10.084677974397" max="51230.6737396177"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2896
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        943785.072
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        382.712
      </sumStat>
      <sumStat type="min">
        10.085
      </sumStat>
      <sumStat type="max">
        51230.674
      </sumStat>
      <sumStat type="mean">
        2440.135
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2415.777
      </sumStat>
      <sumStat type="stdev">
        1780.676
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1970.456
      </sumStat>
      <txt>
        Total food expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case where the own produced food items are also included in code 01 we need to abstract from OWNP
=FOODEXP+CATSER+SCHRST


COUNTRY SPECIFIC NOTES
----------------------------------
Compared to Jordan 2002 survey data, the expenses on items coded 1801 to 1826 were not available in the 2006 data.                      

Only one consumption type (code 2) is provided for food items and 3 types for non-food products in the 2006 survey data, but with no code identification/labeling. Since no differentiation is required between purchased, own produced or in kind expenses for non-food items, all expenses were assumed to be for purchased items.

Expenses items for which the codes are not labeled were allocated under expenditure aggregates based on their coding group.

Since the period over which the expenditure data are collected is not identified in the data file, a check on average expenses on food, non food and total expenditure was done and compared to the figures provided by DOS. It was found that amounts provided are already annualized.]]>
      </notes>
    </var>
    <var ID="V2390" name="TNFOOND" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="909" EndPos="916" width="8" RecSegNo="1"/>
      <labl>
        Total expenditures on non-food and non-durables
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="178.213932272785" max="43521.0131390618"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        178.214
      </sumStat>
      <sumStat type="max">
        43521.013
      </sumStat>
      <sumStat type="mean">
        3809.308
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3625.992
      </sumStat>
      <sumStat type="stdev">
        3259.23
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2998.668
      </sumStat>
      <txt>
        Total expenditures on non-food and non-durables
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Alcoholic and tobacco expenditures are included here 
=TOTEXP-(FOODEXP+TDUR+THOUS)


COUNTRY SPECIFIC NOTES
----------------------------------
Compared to Jordan 2002 survey data, the expenses on items coded 1801 to 1826 were not available in the 2006 data.                      

Only one consumption type (code 2) is provided for food items and 3 types for non-food products in the 2006 survey data, but with no code identification/labeling. Since no differentiation is required between purchased, own produced or in kind expenses for non-food items, all expenses were assumed to be for purchased items.

Expenses items for which the codes are not labeled were allocated under expenditure aggregates based on their coding group.

Since the period over which the expenditure data are collected is not identified in the data file, a check on average expenses on food, non food and total expenditure was done and compared to the figures provided by DOS. It was found that amounts provided are already annualized.]]>
      </notes>
    </var>
    <var ID="V2391" name="TDUR" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="917" EndPos="924" width="8" RecSegNo="1"/>
      <labl>
        Total expenses on durables
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.157808381192932" max="40163.8981172429"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        552197.824
      </sumStat>
      <sumStat type="invd">
        1243
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        391969.96
      </sumStat>
      <sumStat type="min">
        0.158
      </sumStat>
      <sumStat type="max">
        40163.898
      </sumStat>
      <sumStat type="mean">
        806.044
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        711.305
      </sumStat>
      <sumStat type="stdev">
        2728.504
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2430.313
      </sumStat>
      <txt>
        Total expenses on durables
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=HSFUR+MHAPL+MHOPE+TAEQ+TRVEH+TTEQP+CULDUR


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2392" name="THOUS" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="925" EndPos="933" width="9" RecSegNo="1"/>
      <labl>
        Total expenditures on actual and imputed rentals for housing
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="114.663431761824" max="120014.069745132"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        114.663
      </sumStat>
      <sumStat type="max">
        120014.07
      </sumStat>
      <sumStat type="mean">
        1188.209
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1090.094
      </sumStat>
      <sumStat type="stdev">
        2501.542
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1880.83
      </sumStat>
      <txt>
        Total expenditures on actual and imputed rentals for housing
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ARHOUS+IMPREN


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2393" name="TOTEXP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="934" EndPos="942" width="9" RecSegNo="1"/>
      <labl>
        Total expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="312.146471208565" max="207922.127405755"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        312.146
      </sumStat>
      <sumStat type="max">
        207922.127
      </sumStat>
      <sumStat type="mean">
        7735.349
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        7379.986
      </sumStat>
      <sumStat type="stdev">
        6635.094
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5888.639
      </sumStat>
      <txt>
        Individual consumption expenditure of household. Ideally, corresponds to Codes 01 to 12 of the COICOP classification
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In cases where the original survey provides expenditures according to the COICOP classification, this variable is the sum over the expenditure variables above. Otherwise, it is either derived from the "total expenditures" variable in the original survey (if available) or is left blank.
=FOODEXP+ALCOEXP+APPEXP+HOUSEXP+EQUIPEXP+MEDEXP+TRANEXP+COMMEXP+CULTEXP+EDUCEXP+RESTOEXP+MISCEXP


COUNTRY SPECIFIC NOTES
----------------------------------
Compared to Jordan 2002 survey data, the expenses on items coded 1801 to 1826 were not available in the 2006 data.                      

Only one consumption type (code 2) is provided for food items and 3 types for non-food products in the 2006 survey data, but with no code identification/labeling. Since no differentiation is required between purchased, own produced or in kind expenses for non-food items, all expenses were assumed to be for purchased items.

Expenses items for which the codes are not labeled were allocated under expenditure aggregates based on their coding group.

Since the period over which the expenditure data are collected is not identified in the data file, a check on average expenses on food, non food and total expenditure was done and compared to the figures provided by DOS. It was found that amounts provided are already annualized.]]>
      </notes>
    </var>
    <var ID="V2394" name="LUMP" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="943" EndPos="950" width="8" RecSegNo="1"/>
      <labl>
        Lumpy expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.216027577150361" max="23030.3866302505"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        116
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        38518.576
      </sumStat>
      <sumStat type="invd">
        2781
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        905649.208
      </sumStat>
      <sumStat type="min">
        0.216
      </sumStat>
      <sumStat type="max">
        23030.387
      </sumStat>
      <sumStat type="mean">
        1374.825
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1121.789
      </sumStat>
      <sumStat type="stdev">
        2826.335
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2048.404
      </sumStat>
      <txt>
        Expenses on marriage, dowries, mahr, funeral, birth etc lump sum divorce (excluding alimony) payment and any other occasional expenses
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2395" name="INTER" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="951" EndPos="954" width="4" RecSegNo="1"/>
      <labl>
        Interests paid on consumption and loans
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Interest paid on loans for the purchase of consumption or durable goods
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These expenses should not be part of consumption aggregates 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2396" name="TAX" wgt-var="V2172" files="F10" dcml="2" intrvl="discrete">
      <location StartPos="955" EndPos="958" width="4" RecSegNo="1"/>
      <labl>
        Expenditures on taxes and levies
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        944167.784
      </sumStat>
      <txt>
        Taxes on consumption and durable goods, property taxes etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Taxes should be included in consumption aggregates only if they are closely related to services provided such as households that are paying more tax are receiving more services. In that latter case (if there is enough detail in the survey about taxes) this category should be disaggregated according to the nature of taxes paid.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2397" name="GWAG" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="959" EndPos="966" width="8" RecSegNo="1"/>
      <labl>
        Gross wages and salaries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15" max="78240"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2098
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        682541.112
      </sumStat>
      <sumStat type="invd">
        799
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        261626.672
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        78240
      </sumStat>
      <sumStat type="mean">
        3876.054
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3787.361
      </sumStat>
      <sumStat type="stdev">
        3565.34
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3380.751
      </sumStat>
      <txt>
        Cash wage and salary income (including employer bonuses, 13th month bonus, etc.), gross of employee social insurance contributions/taxes but net of employer social insurance contributions/taxes.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When employer-provided sick pay can not be separated, it is included in the wages. 
In case there is no precision about whether the wage is net or gross we classify it under gross wage
If incomes are not available at the individual level, the variable is constructed directly from household level original information.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2398" name="NWAG" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="967" EndPos="974" width="8" RecSegNo="1"/>
      <labl>
        Net wages and salaries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15" max="65760"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2098
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        682541.112
      </sumStat>
      <sumStat type="invd">
        799
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        261626.672
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        65760
      </sumStat>
      <sumStat type="mean">
        3602.372
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3522.881
      </sumStat>
      <sumStat type="stdev">
        3229.356
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3062.072
      </sumStat>
      <txt>
        Cash wage and salary income (including employer bonuses, 13th month bonus, etc.), net of employer and employee social insurance contributions and taxes.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2399" name="IKEAR" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="975" EndPos="981" width="7" RecSegNo="1"/>
      <labl>
        In-kind earnings
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15" max="2030"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        510
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        158908.164
      </sumStat>
      <sumStat type="invd">
        2387
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        785259.62
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        2030
      </sumStat>
      <sumStat type="mean">
        204.771
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        210.905
      </sumStat>
      <sumStat type="stdev">
        209.87
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        247.054
      </sumStat>
      <txt>
        In-kind income as a substitute or complement for cash wages. Includes, for example, the value of company cars, meals, housing, electricity, medical expenses, child care etc. paid or partly paid by the employer.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 It does not exist on its own at the person level.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2400" name="SINC" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="982" EndPos="990" width="9" RecSegNo="1"/>
      <labl>
        Self-employment income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="-830" max="500000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1031
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        327367.164
      </sumStat>
      <sumStat type="invd">
        1866
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        616800.62
      </sumStat>
      <sumStat type="min">
        -830
      </sumStat>
      <sumStat type="max">
        500000
      </sumStat>
      <sumStat type="mean">
        3094.382
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2885.118
      </sumStat>
      <sumStat type="stdev">
        16038.919
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11758.64
      </sumStat>
      <txt>
        Profit/loss from unincorporated enterprises. The income is recorded gross of social insurance contributions (but net of expenses).
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Self-employment income is often collected with a different reference period than other more regular incomes; for example, it could refer to the last financial year for which business accounts for the purposes of taxation were prepared.
Includes imputed income from owner occupied dwellings and own produced food for home consumption 
If farm and non-farm self-employment income are not supplied separately, users can try to split them at the individual level 


COUNTRY SPECIFIC NOTES
----------------------------------
Four cases reported negative income ranging between 27 and 830  Dinar in employer and self employed income (q909).
Employers and self employed can have negative income if they experienced a loss in their business though it not  commonly known in such surveys to report negative income; however for those cases  the total income is  positively reported.]]>
      </notes>
    </var>
    <var ID="V2401" name="RENTAL" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="991" EndPos="999" width="9" RecSegNo="1"/>
      <labl>
        Income less expenses from rentals
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="120" max="106000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2110
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        662629.172
      </sumStat>
      <sumStat type="invd">
        787
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        281538.612
      </sumStat>
      <sumStat type="min">
        120
      </sumStat>
      <sumStat type="max">
        106000
      </sumStat>
      <sumStat type="mean">
        1600.096
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1506.842
      </sumStat>
      <sumStat type="stdev">
        3197.916
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2867.092
      </sumStat>
      <txt>
        Rentals from dwellings, business buildings, vehicles, equipment, etc excludes rent from land
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2402" name="PROINC" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="1000" EndPos="1008" width="9" RecSegNo="1"/>
      <labl>
        Property income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="25" max="165000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        110
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        35055.432
      </sumStat>
      <sumStat type="invd">
        2787
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        909112.352
      </sumStat>
      <sumStat type="min">
        25
      </sumStat>
      <sumStat type="max">
        165000
      </sumStat>
      <sumStat type="mean">
        3196.709
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2233.427
      </sumStat>
      <sumStat type="stdev">
        15936.402
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11496.71
      </sumStat>
      <txt>
        <![CDATA[Interest received less interest paid 
Dividends
Rent from land]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2403" name="TRANSF" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="1009" EndPos="1016" width="8" RecSegNo="1"/>
      <labl>
        Current transfers received
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5" max="24360"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2883
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        937199.584
      </sumStat>
      <sumStat type="invd">
        14
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6968.2
      </sumStat>
      <sumStat type="min">
        5
      </sumStat>
      <sumStat type="max">
        24360
      </sumStat>
      <sumStat type="mean">
        1402.879
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1334.738
      </sumStat>
      <sumStat type="stdev">
        1893.758
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1788.273
      </sumStat>
      <txt>
        <![CDATA[Social insurance, assistance, inter-household transfers, regular support received such as charities, remittances received, gifts received
Disability pensions, allowances, benefits etc. 
Child/family benefits]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2404" name="TOTDINC" wgt-var="V2172" files="F10" dcml="2" intrvl="contin">
      <location StartPos="1017" EndPos="1025" width="9" RecSegNo="1"/>
      <labl>
        Total disposable income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="585650"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2897
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        944167.784
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        585650
      </sumStat>
      <sumStat type="mean">
        6591.167
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6203.569
      </sumStat>
      <sumStat type="stdev">
        12626.847
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        9645.615
      </sumStat>
      <txt>
        Total disposable income
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=GWAG+SINC+RENTAL+PROINC+TRANSF


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2405" name="COUNTRY" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A numeric variable representing the country and coded following UN recent country classification in Dec. 2012.
      </txt>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          16936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both  the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF.]]>
      </notes>
    </var>
    <var ID="V2406" name="YEAR" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey Year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2006" max="2006"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2006
        </catValu>
        <catStat type="freq">
          16936
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF.]]>
      </notes>
    </var>
    <var ID="V2407" name="CASESER" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="15" width="8" RecSegNo="1"/>
      <labl>
        Unique unit identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11100311" max="34200502"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sequential anonymous household identifier usually provided in the dataset
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and person file and is necessary when merging the two files. This identifier is unique only within each country/year dataset; when combining different countries or years it is necessary to use it in combination with the variables COUNTRY and YEAR in order to uniquely identify households.
When merging household and individual level files from the same dataset, use this variable to link each individual to the right household.


COUNTRY SPECIFIC NOTES
----------------------------------
A unique HH identifier is generated using the variables, gov, dist, sub, cis_num, and hh_num]]>
      </notes>
    </var>
    <var ID="V2408" name="HWEIGHT" wgt="wgt" files="F11" dcml="4" intrvl="contin">
      <location StartPos="16" EndPos="24" width="9" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="49" max="2632.664"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        49
      </sumStat>
      <sumStat type="max">
        2632.664
      </sumStat>
      <sumStat type="mean">
        322.682
      </sumStat>
      <sumStat type="stdev">
        250.986
      </sumStat>
      <txt>
        Data provider household weight
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. 
We strongly recommend that all statistical analysis be performed using the data weights


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2409" name="REG" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="34"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Amman
        </labl>
        <catStat type="freq">
          8549
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2082633.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Al-Balqa
        </labl>
        <catStat type="freq">
          696
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          362445.236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Az Zarqa
        </labl>
        <catStat type="freq">
          1225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          842902.872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Madaba
        </labl>
        <catStat type="freq">
          498
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          136199.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Irbid
        </labl>
        <catStat type="freq">
          2633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1013077.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Al-Mafraq
        </labl>
        <catStat type="freq">
          932
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242059.196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Jerash
        </labl>
        <catStat type="freq">
          235
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          163240.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Ajloun
        </labl>
        <catStat type="freq">
          304
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          126975.86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Al-Karak
        </labl>
        <catStat type="freq">
          740
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213099.232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Al-Tafilah
        </labl>
        <catStat type="freq">
          209
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83386.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Maan
        </labl>
        <catStat type="freq">
          630
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          100949.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Al-Aqaba
        </labl>
        <catStat type="freq">
          285
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97976.48
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2410" name="RURURB" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="27" EndPos="27" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          3919
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          959139.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          13017
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4505807.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case the country has refugee camps (as in Palestine) those will be coded "2"


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2411" name="PNUM" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        Person identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="21"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Person identification number (usually the person line number in the household)
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2838
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          926107.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2628
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          861027.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2372
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          776367.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          2011
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          654552.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1539
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          493229.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1092
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          344979.992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          675
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          207493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          408
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121635.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          217
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61412.364
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30635.12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19578.5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9511.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5514.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3472.428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1829.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1420.3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          560.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          560.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          560.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          331.34
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This identifier is unique within each household. In order to uniquely identify an individual, both CASENUM and PNUM are required.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2412" name="PAGE" wgt-var="V2408" files="F11" dcml="0" intrvl="contin">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="98"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        24.48
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        24.279
      </sumStat>
      <sumStat type="stdev">
        18.618
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        18.521
      </sumStat>
      <txt>
        Age in years.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2413" name="PSEX" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="32" EndPos="32" width="1" RecSegNo="1"/>
      <labl>
        Gender
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicator for gender of individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          8566
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2780258.904
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          8370
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2684687.552
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2414" name="PMART" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Marital status [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        Legal administrative status concerning marriage &amp; partnership (even if not married, a person can be still legally recognized as being in a relationship).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          4720
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1476867.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          5374
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770601.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8468.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          97
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31170.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129237.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V2415" name="PMART_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="37" width="3" RecSegNo="1"/>
      <labl>
        Marital status [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        Legal administrative status concerning marriage &amp; partnership (even if not married, a person can be still legally recognized as being in a relationship)
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          4720
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1476867.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          5374
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770601.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8468.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30979.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129237.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V2416" name="PREL" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Relationship to head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Relationship to the head of household, where the value '1' always stands for the head of the household him/herself.
The variable "Other relatives " includes nephew and niece, grandparents, sons and daughters in law,  etc.....]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          2520
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          829954.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          10661
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3420291.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/Mother (parents)
        </labl>
        <catStat type="freq">
          131
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39572.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          129
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43265.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          316
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103065.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          186
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58574.476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26054.348
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2417" name="PREL_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Relationship to head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="860"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Relationship to the head of household, where the value '100' always stands for the head of the household him/herself. Detailed coding indicates different relations for other relatives and other non-relatives.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          944167.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          2520
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          829954.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/Daughter
        </labl>
        <catStat type="freq">
          10661
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3420291.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Adopted children
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Father/mother (parents)
        </labl>
        <catStat type="freq">
          131
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39572.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          129
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43265.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          316
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103065.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56399.164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Grandparents
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2175.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Father/mother in law
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          824.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Servants
        </labl>
        <catStat type="freq">
          92
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25229.828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          820
        </catValu>
        <labl>
          Doorkeeper
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Driver
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          Shepherd
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          Farmer
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2418" name="PFPRES" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Father present at home
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        13754
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4421763.456
      </sumStat>
      <sumStat type="invd">
        3182
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1043183
      </sumStat>
      <txt>
        Indicates whether the father is present at home, not a household member or dead.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          10018
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3224334.18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Father is not a household member
        </labl>
        <catStat type="freq">
          3736
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1197429.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Father is dead
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1043183
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case there is no information available about whether the father is dead or not we just use code 2 (not a HH member). In case, the relationship to head variable indicates that the brother of the head is living in the HH with nephews/nieces of the head we assume that these last are the sons/daughters of the head's brother. 


COUNTRY SPECIFIC NOTES
----------------------------------
* All parents related variables were generated by ERF including the presence status generated using the relationship to head variable, therefore those dead could not be identified.

* Father's and Mother's variables were generated for head of the household's children, the head him/herself whenever his/her parent(s) are household members, for head’s siblings if parents’ data is available, and for head’s grandchildren if he/she has married sons/daughters or in laws living in the household. In some cases, children were linked to their parents based on the HH data entry order.

* Since the relationship to the head variable did not include the son/daughter in law category, to generate the in-laws' characteristics, we assumed that the son in law is a married  male recoded as other relative in the relationship to head variable where the number of married female daughters in the household >=1. 
The same technique was applied to the daughter in law, a married female recoded as other relative in the relationship to head variable where the number of married male sons >=1  is considered a daughter in law.

* In case the head has multiple spouses, the identification of the children’s mothers among different spouses is judgmental whether on age basis, or on members order in the household.]]>
      </notes>
    </var>
    <var ID="V2419" name="PMPRES" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Mother present at home
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        13927
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4491388.764
      </sumStat>
      <sumStat type="invd">
        3009
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        973557.692
      </sumStat>
      <txt>
        Indicates whether the mother is present at home, not a household member or dead.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          10988
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3531178.536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mother is not a household member
        </labl>
        <catStat type="freq">
          2939
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          960210.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mother is dead
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3009
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          973557.692
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There might be a problem identifying the mother from the Roster in case of multiple spouses. This variable can be clearly identified only in the fathers'/mothers' ID is provided in the dataset. In case of only one spouse she is assumed to be the mother, unless the age checking is could identify those living with their step mother (mother died or divorced).


COUNTRY SPECIFIC NOTES
----------------------------------
* All parents related variables were generated by ERF including the presence status generated using the relationship to head variable, therefore those dead could not be identified.

* Father's and Mother's variables were generated for head of the household's children, the head him/herself whenever his/her parent(s) are household members, for head's siblings if parents' data is available, and for head's grandchildren if he/she has married sons/daughters or in laws living in the household. In some cases, children were linked to their parents based on the HH data entry order.

* Since the relationship to the head variable did not include the son/daughter in law category, to generate the in-laws' characteristics, we assumed that the son in law is a married  male recoded as other relative in the relationship to head variable where the number of married female daughters in the household >=1. 
The same technique was applied to the daughter in law, a married female recoded as other relative in the relationship to head variable where the number of married male sons >=1  is considered a daughter in law.

* In case the head has multiple spouses, the identification of the children's mothers among different spouses is judgmental whether on age basis, or on members order in the household.]]>
      </notes>
    </var>
    <var ID="V2420" name="PFATHID" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        ID of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="16"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10018
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3224334.18
      </sumStat>
      <sumStat type="invd">
        6918
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2240612.276
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the father
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          9781
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3143293.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5286.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18947.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15231.532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6861.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12991.568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5079.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6284.016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1971.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1537.428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3996.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1064.792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          463.884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1325.36
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2240612.276
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This information is available for the son/daughter of the head, partially available for the head and brother/sister of the head and is missing for the other individuals (exception for Iraq). In case we have the brother of the head living in the HH with the nephew/niece of the head we assume that these last are the son (daughter) of the head's brother. 
Since very few surveys report this information. Value can be imputed from the roster (or individual file) but might be available only if PFPRES = 1.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2421" name="PMOTHID" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        ID of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="20"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10988
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3531178.536
      </sumStat>
      <sumStat type="invd">
        5948
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1933767.92
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the mother
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          276998.676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          9577
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3081942.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          147
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          45056.88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26650.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20795.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          61
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21341.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          66
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21921.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13565.94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10083.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3215.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1956.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3840.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1064.792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          498.544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          692.636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1325.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          228.752
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5948
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1933767.92
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There might be a problem identifying the mother from the Roster in case of multiple spouses. This variable can be clearly identified only in the fathers'/mothers' ID is provided in the dataset. In case of only one spouse she is assumed to be the mother, unless the age checking is could identify those living with their step mother (mother died or divorced).
Since very few surveys report this information. Value can be imputed from the roster (or individual file) but might be available only if PMPRES = 1.

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2422" name="PFAGE" wgt-var="V2408" files="F11" dcml="0" intrvl="contin">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Age of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="20" max="98"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10018
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3224334.18
      </sumStat>
      <sumStat type="invd">
        6918
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2240612.276
      </sumStat>
      <sumStat type="min">
        20
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        47.45
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        46.768
      </sumStat>
      <sumStat type="stdev">
        11.567
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.508
      </sumStat>
      <txt>
        Indicates the Age of the father
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2423" name="PMAGE" wgt-var="V2408" files="F11" dcml="0" intrvl="contin">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Age of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="16" max="98"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10988
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3531178.536
      </sumStat>
      <sumStat type="invd">
        5948
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1933767.92
      </sumStat>
      <sumStat type="min">
        16
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        42.204
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        41.778
      </sumStat>
      <sumStat type="stdev">
        11.082
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.109
      </sumStat>
      <txt>
        Indicates the Age of the mother
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2424" name="PFMART" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10018
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3224334.18
      </sumStat>
      <sumStat type="invd">
        6918
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2240612.276
      </sumStat>
      <txt>
        Indicates the Marital status of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          9760
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3152451.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          173
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44531.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          83
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26881.384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2240612.276
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2425" name="PMMART" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10988
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3531178.536
      </sumStat>
      <sumStat type="invd">
        5948
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1933767.92
      </sumStat>
      <txt>
        Indicates the Marital status of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          10087
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3263147.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          62
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21266.328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          839
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          246764.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5948
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1933767.92
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2426" name="PFMART_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the father [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10018
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3224334.18
      </sumStat>
      <sumStat type="invd">
        6918
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2240612.276
      </sumStat>
      <txt>
        Indicates the Marital status of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          9760
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3152451.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          173
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44531.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          83
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26881.384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2240612.276
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2427" name="PMMART_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="61" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the mother [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10988
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3531178.536
      </sumStat>
      <sumStat type="invd">
        5948
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1933767.92
      </sumStat>
      <txt>
        Indicates the Marital status of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          10087
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3263147.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          61
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21074.972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          839
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          246764.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5948
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1933767.92
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2428" name="PFEDUC" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="63" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10018
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3224334.18
      </sumStat>
      <sumStat type="invd">
        6918
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2240612.276
      </sumStat>
      <txt>
        Indicates the Educational level of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1852
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          493538.448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          4488
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1504320.672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1425
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          493158.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          339690.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          952
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          296846.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          311
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          96779.82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2240612.276
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2429" name="PMEDUC" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10988
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3531178.536
      </sumStat>
      <sumStat type="invd">
        5948
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1933767.92
      </sumStat>
      <txt>
        Indicates the Educational level of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          3066
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          852632.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          4692
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1621742.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1472
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          449662.336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1177
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          425935.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          537
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166264.344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14941.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5948
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1933767.92
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2430" name="PFEDUC_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="68" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the father [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10018
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3224334.18
      </sumStat>
      <sumStat type="invd">
        6918
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2240612.276
      </sumStat>
      <txt>
        Indicates the Educational level of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          874
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213097.724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          978
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          280440.724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          1766
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          618399.3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          2350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          734112.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          268
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103623.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          104
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48185.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1425
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          493158.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          339690.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          952
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          296846.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          66
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16993.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          180
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62874.112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16911.776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2240612.276
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2431" name="PMEDUC_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="71" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the mother [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10988
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3531178.536
      </sumStat>
      <sumStat type="invd">
        5948
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1933767.92
      </sumStat>
      <txt>
        Indicates the Educational level of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          2012
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          511135.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          1054
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          341496.672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          1626
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          560875.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          2394
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          808339.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          665
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          250221.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2307.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1472
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          449662.336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1177
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          425935.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          537
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166264.344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11914.988
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3026.416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5948
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1933767.92
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2432" name="PFMAS" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="73" width="2" RecSegNo="1"/>
      <labl>
        Main activity of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10018
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3224334.18
      </sumStat>
      <sumStat type="invd">
        6918
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2240612.276
      </sumStat>
      <txt>
        Indicates the Main activity of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          6740
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2259973.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          558
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          175418.8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2602.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          319.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          1004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          333625.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1704
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452394.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2240612.276
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
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      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2433" name="PMMAS" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="75" width="2" RecSegNo="1"/>
      <labl>
        Main activity of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10988
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3531178.536
      </sumStat>
      <sumStat type="invd">
        5948
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1933767.92
      </sumStat>
      <txt>
        Indicates the Main activity of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          625
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          203153.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          248
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84381.856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          9939
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3191804.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1946.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          159
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          45895.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3996.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
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        <catStat type="freq">
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
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        Generated by ERF
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      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
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        Main activity of the father [Detailed version]
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        Data Dictionary &amp; Questionnaire/Codebook
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        <range min="100" max="999"/>
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      <universe clusion="I">
        All individuals
      </universe>
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      <sumStat wgtd="wgtd" type="vald">
        3224334.18
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      <sumStat type="invd">
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      <sumStat wgtd="wgtd" type="invd">
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        Indicates the Main activity of the father
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          100
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          Employed
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        <catStat wgtd="wgtd" type="freq">
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          Employed during last week
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        <catStat wgtd="wgtd" type="freq">
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      <catgry>
        <catValu>
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          Employed but temporary absent from work
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        <catStat wgtd="wgtd" type="freq">
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      <catgry>
        <catValu>
          130
        </catValu>
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          Waiting to go back to previous job
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        <catStat wgtd="wgtd" type="freq">
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      <catgry>
        <catValu>
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          Found a job and waiting for the start date
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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          Employed (1-14 hours) weekly
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        <catStat type="freq">
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          Employed (15 hours or more) weekly
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        <catStat wgtd="wgtd" type="freq">
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        </catStat>
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          Employed (35 hours or more) weekly
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
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        </catValu>
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          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
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        <catValu>
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        </catValu>
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          Unemployed
        </labl>
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
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      <catgry>
        <catValu>
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        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
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        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
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        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
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        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
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      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
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      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
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        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
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          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
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        <catValu>
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          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
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          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
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        <catValu>
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        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
          333625.892
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      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5537.368
        </catStat>
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      <catgry>
        <catValu>
          610
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        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
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        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
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          Have income/revenue/means
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          1689
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          446856.952
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        <catValu>
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          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
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          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
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          Landlord
        </labl>
        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
          670
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          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
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        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
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        Generated by ERF
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      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
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        Main activity of the mother [Detailed version]
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        Data Dictionary &amp; Questionnaire/Codebook
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        1933767.92
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        Indicates the Main activity of the mother
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          100
        </catValu>
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          Employed
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        <catStat type="freq">
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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          Employed during last week
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        <catStat type="freq">
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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        </catValu>
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          Employed but temporary absent from work
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        <catValu>
          130
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          Waiting to go back to previous job
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          5
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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        </catValu>
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          Found a job and waiting for the start date
        </labl>
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          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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        </catValu>
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          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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          Employed (15 hours or more) weekly
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
          180
        </catValu>
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          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        </catValu>
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84381.856
        </catStat>
      </catgry>
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        <catValu>
          210
        </catValu>
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          Unemployed ever worked (looking for a job)
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
          220
        </catValu>
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          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
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          Temporary unemployed (in military services)
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          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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          Homemaker (Housewife)
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          0
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        <catStat wgtd="wgtd" type="freq">
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          Homemaker
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        <catStat wgtd="wgtd" type="freq">
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      </catgry>
      <catgry>
        <catValu>
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        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
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          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
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          Student
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1946.028
        </catStat>
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      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
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        <catValu>
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        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
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          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          159
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          45895.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2408.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1588.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5948
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1933767.92
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2436" name="PFCEMS" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="83" width="2" RecSegNo="1"/>
      <labl>
        Employment status of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        6740
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2259973.088
      </sumStat>
      <sumStat type="invd">
        10196
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3204973.368
      </sumStat>
      <txt>
        Indicates the Employment status of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          4800
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1598650.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          834
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          253731.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          1084
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          399262.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3488.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1044.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3794.656
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3204973.368
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2437" name="PMCEMS" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
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      <labl>
        Employment status of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        625
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        203153.812
      </sumStat>
      <sumStat type="invd">
        16311
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5261792.644
      </sumStat>
      <txt>
        Indicates the Employment status of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          554
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          183461.572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7546.232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6603.196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          827.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1990.952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2724.196
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          16311
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5261792.644
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2438" name="PFOCC" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="88" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the father [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        6740
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2259973.088
      </sumStat>
      <sumStat type="invd">
        10196
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3204973.368
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the father, standardized on a 1-digit coding level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          588
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          161758.604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          869
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          284341.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          450
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          170006.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          422
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134892.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          1088
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          357417.192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55488.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          1085
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          392447.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          1412
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          480137.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219688.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3794.656
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3204973.368
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2439" name="PMOCC" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="91" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        625
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        203153.812
      </sumStat>
      <sumStat type="invd">
        16311
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5261792.644
      </sumStat>
      <txt>
        <![CDATA[Occupation classification for the main (current or last held) job  of the mother, standardized on a 1-digit coding level.]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2750.588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          314
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          106439.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36441.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14327.304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          60
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20871.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1241.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5749.808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12608.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2724.196
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          16311
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5261792.644
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2440" name="PFOCC_ISCO88_3" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="95" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the father [ISCO 1988- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        6740
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2259973.088
      </sumStat>
      <sumStat type="invd">
        10196
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3204973.368
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the father, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          326
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          98041.316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          638.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior government officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3166.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Senior officials of special-interest organizations
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2821.584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Directors and chief executives
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2125.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Production and operations department managers
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23040.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Other department managers
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8078.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23846.164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, chemists and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Computing professionals
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6822.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Architects, engineers and related professionals
        </labl>
        <catStat type="freq">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40938.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2454.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Health professionals (except nursing)
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10809.584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16003.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education teaching profession
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7111.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Secondary education teaching professionals
        </labl>
        <catStat type="freq">
          131
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44720.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Primary and pre-primary education teaching professionals
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25007.06
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Special education teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6404.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Business professionals
        </labl>
        <catStat type="freq">
          259
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94652.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13341.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians and related information professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science and related professionals
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7198.536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative or performing artists
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6179.58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Religious professionals
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2462.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22732.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Computer associate professionals
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7120.604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment operators
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8713.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6500.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Safety and quality inspectors
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8791.652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Modern health associate professionals (except nursing)
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13996.588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13322.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and faith healers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6360.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Pre-primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Special education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2244.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Finance and sales associate professionals
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16698.384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Business services agents and trade brokers
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3572.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
        <catStat type="freq">
          121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48386.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Customs, tax and related government associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Police inspectors and detectives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Social work associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Artistic, entertainment and sports associate professionals
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4712.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate professionals
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6854.116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating clerks
        </labl>
        <catStat type="freq">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19524.58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25205.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          166
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53728.776
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail and related clerks
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12286.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6524.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9100.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information clerks
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8521.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related workers
        </labl>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11204.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services workers
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23493.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1576.428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          83
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32571.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          63
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23647.196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          599.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
        <catStat type="freq">
          794
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249478.796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Stall and market salespersons
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14846.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33212.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Market-oriented animal producers and related workers
        </labl>
        <catStat type="freq">
          58
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16579.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Market-oriented crop and animal producers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          638.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5058.732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers, stone cutters and carvers
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4581.012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          231
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103435.476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47956.148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          60
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14081.596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal molders, welders, sheet-metal workers, structural- met
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3690.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, tool-makers and related trades workers
        </labl>
        <catStat type="freq">
          121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53389.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
        <catStat type="freq">
          225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81727.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Electrical and electronic equipment mechanics and fitters
        </labl>
        <catStat type="freq">
          95
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25165.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2623.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related trades workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          765.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related mat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Printing and related trades workers
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11993.412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13132.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2613.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Textile, garment and related trades workers
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26351.176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Pelt, leather and shoemaking trades workers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          940.528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining- and mineral-processing-plant operators
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25235.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Glass, ceramics and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Wood-processing- and papermaking-plant operators
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1181.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Chemical-processing-plant operators
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3893.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Power-production and related plant operators
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9041.852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Automated-assembly-line and industrial-robot operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Metal- and mineral-products machine operators
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4530.58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Chemical-products machine operators
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4032.244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Rubber- and plastic-products machine operators
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          765.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Wood-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Printing-, binding- and paper-products machine operators
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          910.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Textile-, fur- and leather-products machine operators
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1175.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1339.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          828
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          765.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assemblers
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4047.284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive-engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Motor-vehicle drivers
        </labl>
        <catStat type="freq">
          1207
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          403813.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Agricultural and other mobile-plant operators
        </labl>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15784.484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3620.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related workers
        </labl>
        <catStat type="freq">
          98
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48581.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other street services elementary occupatio
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2750.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Domestic and related helpers, cleaners and launderers
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17103.008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Building caretakers, window and related cleaners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers and related workers
        </labl>
        <catStat type="freq">
          333
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          112543.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage collectors and related laborers
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7379.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13242.708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2362.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10039.14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport laborers and freight handlers
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5686.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3794.656
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3204973.368
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2441" name="PMOCC_ISCO88_3" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="99" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the mother [ISCO 1988- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        625
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        203153.812
      </sumStat>
      <sumStat type="invd">
        16311
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5261792.644
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the mother, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1020.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior government officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Senior officials of special-interest organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Directors and chief executives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Production and operations department managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Other department managers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1410.792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          319.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, chemists and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Computing professionals
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          910.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Architects, engineers and related professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Health professionals (except nursing)
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          574.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14426.1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education teaching profession
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          479.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Secondary education teaching professionals
        </labl>
        <catStat type="freq">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29172.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Primary and pre-primary education teaching professionals
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          45456.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Special education teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5012.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Business professionals
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5444.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians and related information professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science and related professionals
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4333.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative or performing artists
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Religious professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Computer associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Safety and quality inspectors
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Modern health associate professionals (except nursing)
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2916.54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9842.464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and faith healers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17461.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Pre-primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Special education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Finance and sales associate professionals
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Business services agents and trade brokers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5749.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Customs, tax and related government associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Police inspectors and detectives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Social work associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Artistic, entertainment and sports associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating clerks
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7778.212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          954.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail and related clerks
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3761.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1362.464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services workers
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1722.204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related workers
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5378.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8280.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1175.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4315.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Stall and market salespersons
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1241.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Market-oriented animal producers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Market-oriented crop and animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers, stone cutters and carvers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal molders, welders, sheet-metal workers, structural- met
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, tool-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Electrical and electronic equipment mechanics and fitters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related mat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Printing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Textile, garment and related trades workers
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5749.808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Pelt, leather and shoemaking trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining- and mineral-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Glass, ceramics and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Wood-processing- and papermaking-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Chemical-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Power-production and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Automated-assembly-line and industrial-robot operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Metal- and mineral-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Chemical-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Rubber- and plastic-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Wood-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Printing-, binding- and paper-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Textile-, fur- and leather-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          828
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive-engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Motor-vehicle drivers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Agricultural and other mobile-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other street services elementary occupatio
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Domestic and related helpers, cleaners and launderers
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3875.964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Building caretakers, window and related cleaners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers and related workers
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3450.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage collectors and related laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5281.528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport laborers and freight handlers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2724.196
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          16311
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5261792.644
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
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      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
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    </var>
    <var ID="V2442" name="PFIND" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
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      <labl>
        Industry classification for the main job of the father [Standardized version]
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      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
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      <valrng>
        <range min="10" max="999"/>
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      <universe clusion="I">
        All individuals
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      <sumStat type="vald">
        6740
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2259973.088
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      <sumStat type="invd">
        10196
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3204973.368
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      <txt>
        Industry classification of the main (current or last held) job of the father, standardized on a 1-digit coding level.
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      <catgry>
        <catValu>
          10
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        <labl>
          Agriculture and Fishing
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        <catStat type="freq">
          241
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89108.348
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      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8169.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          935
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          311930.952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
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        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48170.328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          452
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169063.18
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      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          1371
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          455185
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      <catgry>
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          70
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        <labl>
          Transportation, Storage and Communication
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        <catStat type="freq">
          946
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          327900.256
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      <catgry>
        <catValu>
          80
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        <labl>
          Financial, Insurance and Real Estate
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        <catStat type="freq">
          391
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121452.28
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      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          1209
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          378483.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          1017
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          346715.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3794.656
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3204973.368
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
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      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
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    </var>
    <var ID="V2443" name="PMIND" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="105" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the mother [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        625
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        203153.812
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      <sumStat type="invd">
        16311
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5261792.644
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the mother, standardized on a 1-digit coding level.
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      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6523.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6559.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7813.852
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      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
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        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          479.064
        </catStat>
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      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3968.484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18400.236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          451
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          156685.888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2724.196
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          16311
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5261792.644
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
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      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
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    <var ID="V2444" name="PFIND_ISIC3_3" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
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      <labl>
        Industry classification for the main job of the father [ISIC Rev. 3- 3 digits]
      </labl>
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        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        6740
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2259973.088
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      <sumStat type="invd">
        10196
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3204973.368
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the father, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of crops; market gardening; horticulture
        </labl>
        <catStat type="freq">
          148
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49012.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Farming of animals
        </labl>
        <catStat type="freq">
          70
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24135.648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Growing of crops combined with farming of animals (mixed far
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Agricultural and animal husbandry service activities, except
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9678.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Hunting, trapping and game propagation including related ser
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mining and agglomeration of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Mining and agglomeration of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Extraction and agglomeration of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6281.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Service activities incidental to oil and gas extraction excl
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Mining of non-ferrous metal ores, except uranium and thorium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3085.848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5083.716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Production, processing and preservation of meat, fish, fruit
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3011.936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6956.8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          765.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15208.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4908.164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2790.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1444.956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4621.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Manufacture of knitted and crocheted fabrics and articles
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          798.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          78
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29721.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Dressing and dyeing of fur; manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2263.768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2690.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6957.516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4996.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Publishing
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9066.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          70
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21302.888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12596.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Processing of nuclear fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic chemicals
        </labl>
        <catStat type="freq">
          135
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31082.464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11115.528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6456.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2125.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18461.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5351.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of basic precious and non-ferrous metals
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          574.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51281.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metal workin
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4480.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of general purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of special purpose machinery
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4090.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of domestic appliances n.e.c.
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5799.576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Manufacture of electric motors, generators and transformers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Manufacture of electricity distribution and control apparatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Manufacture of insulated wire and cable
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2076.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Manufacture of accumulators, primary cells and primary batte
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1339.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Manufacture of electric lamps and lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Manufacture of other electrical equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of electronic valves and tubes and other electro
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          765.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of television and radio transmitters and apparat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of television and radio receivers, sound or vide
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Manufacture of medical, measuring, checking, testing, naviga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Manufacture of watches and clocks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Building and repairing of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of railway and tramway locomotives and rolling s
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Manufacture of aircraft and spacecraft
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33735.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          Manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2623.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Recycling of metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Recycling of non-metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Production, collection and distribution of electricity
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30677.572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17492.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Site preparation
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25356.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Building of complete constructions or parts thereof; civil e
        </labl>
        <catStat type="freq">
          99
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36012.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Building installation
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31088.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Building completion
        </labl>
        <catStat type="freq">
          217
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          76605.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Renting of construction or demolition equipment with operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          58
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24342.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47223.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7159.472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1669.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9876.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Wholesale of agricultural raw materials, live animals, food,
        </labl>
        <catStat type="freq">
          85
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21963.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5623.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Wholesale of non-agricultural intermediate products, waste a
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2758.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Other wholesale
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Non-specialized retail trade in stores
        </labl>
        <catStat type="freq">
          103
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40146.452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29630.684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Other retail trade of new goods in specialized stores
        </labl>
        <catStat type="freq">
          614
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          186857.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Retail sale of second-hand goods in stores
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4193.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Retail trade not in stores
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31490.54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10745.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Hotels; camping sites and other provision of short-stay acco
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4683.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Restaurants, bars and canteens
        </labl>
        <catStat type="freq">
          73
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26152.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6049.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          799
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          277113.92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Transport via pipelines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Scheduled air transport
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6376.244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Non-scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24641.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Post and courier activities
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3976.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Telecommunications
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9743.192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          90
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27112.948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Other financial intermediation
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5500.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6534.524
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation, except ins
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          58
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15518.056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Renting of transport equipment
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          845.84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Renting of other machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Renting of personal and household goods n.e.c.
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16176.416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Hardware consultancy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Software consultancy and supply
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3131.896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Data processing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Data base activities
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          798.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Maintenance and repair of office, accounting and computing m
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Other computer related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7943.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Legal/accounting/bookkeeping/auditing activities; tax/market
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8213.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Architectural, engineering and other technical activities
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4577.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          638.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Business activities n.e.c.
        </labl>
        <catStat type="freq">
          90
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24461.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          604
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          188820.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          605
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          189662.384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Primary education
        </labl>
        <catStat type="freq">
          117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41147.896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72020.952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          151
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43729.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          Adult and other education
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12159.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Human health activities
        </labl>
        <catStat type="freq">
          230
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82587.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Social work activities
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13296.036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12316.216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Activities of business, employers and professional organizat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17537.684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Motion picture, radio, television and other entertainment ac
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7754.828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          News agency activities
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3421.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Library, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1005.972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          924
        </catValu>
        <labl>
          Sporting and other recreational activities
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3110.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23390.684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5397.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7839.428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3794.656
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3204973.368
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2445" name="PMIND_ISIC3_3" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="113" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the mother [ISIC Rev. 3- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        625
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        203153.812
      </sumStat>
      <sumStat type="invd">
        16311
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5261792.644
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the mother, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of crops; market gardening; horticulture
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6523.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Farming of animals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Growing of crops combined with farming of animals (mixed far
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Agricultural and animal husbandry service activities, except
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Hunting, trapping and game propagation including related ser
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mining and agglomeration of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Mining and agglomeration of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Extraction and agglomeration of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Service activities incidental to oil and gas extraction excl
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Mining of non-ferrous metal ores, except uranium and thorium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Production, processing and preservation of meat, fish, fruit
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          475.632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Manufacture of knitted and crocheted fabrics and articles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5071.936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Dressing and dyeing of fur; manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Processing of nuclear fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic chemicals
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1011.5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of basic precious and non-ferrous metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metal workin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of general purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of special purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of domestic appliances n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Manufacture of electric motors, generators and transformers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Manufacture of electricity distribution and control apparatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Manufacture of insulated wire and cable
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Manufacture of accumulators, primary cells and primary batte
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Manufacture of electric lamps and lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Manufacture of other electrical equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of electronic valves and tubes and other electro
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of television and radio transmitters and apparat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of television and radio receivers, sound or vide
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Manufacture of medical, measuring, checking, testing, naviga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Manufacture of watches and clocks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Building and repairing of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of railway and tramway locomotives and rolling s
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Manufacture of aircraft and spacecraft
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          Manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Recycling of metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Recycling of non-metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Production, collection and distribution of electricity
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Site preparation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Building of complete constructions or parts thereof; civil e
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Building installation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Building completion
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Renting of construction or demolition equipment with operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Wholesale of agricultural raw materials, live animals, food,
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Wholesale of non-agricultural intermediate products, waste a
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Other wholesale
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Non-specialized retail trade in stores
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1917.28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Other retail trade of new goods in specialized stores
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4852.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Retail sale of second-hand goods in stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Retail trade not in stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Hotels; camping sites and other provision of short-stay acco
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Restaurants, bars and canteens
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          574.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Transport via pipelines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Non-scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Post and courier activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Telecommunications
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          479.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1277.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Other financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation, except ins
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Renting of transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Renting of other machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Renting of personal and household goods n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Hardware consultancy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Software consultancy and supply
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          798.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Data processing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Data base activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Maintenance and repair of office, accounting and computing m
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Other computer related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Legal/accounting/bookkeeping/auditing activities; tax/market
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Architectural, engineering and other technical activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Business activities n.e.c.
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1495.036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16231.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2168.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Primary education
        </labl>
        <catStat type="freq">
          165
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64933.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          151
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46260.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5358.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          Adult and other education
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          600.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Human health activities
        </labl>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27934.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Social work activities
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1595.588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Activities of business, employers and professional organizat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Motion picture, radio, television and other entertainment ac
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          News agency activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Library, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          924
        </catValu>
        <labl>
          Sporting and other recreational activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8280.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Private households with employed persons
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          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          765.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
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          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          798.44
        </catStat>
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      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
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      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2724.196
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      <catgry missing="Y">
        <catValu>
          Sysmiss
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        <catStat type="freq">
          16311
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5261792.644
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        Generated by ERF
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        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
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        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
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      <universe clusion="I">
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      <sumStat type="invd">
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      <sumStat wgtd="wgtd" type="invd">
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        <catStat wgtd="wgtd" type="freq">
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        </catStat>
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
          686095.772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          4617
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1544887.724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
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          0
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        <catStat wgtd="wgtd" type="freq">
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        </catStat>
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        <labl>
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        <catStat wgtd="wgtd" type="freq">
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          6
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        <labl>
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        <labl>
          Not stated
        </labl>
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
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        <catStat wgtd="wgtd" type="freq">
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      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
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        Data Dictionary &amp; Questionnaire/Codebook
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        <range min="1" max="99"/>
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      <universe clusion="I">
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      <sumStat wgtd="wgtd" type="invd">
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        Indicates the Sector of employment of the mother [Standardized version]
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          399
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          141468.184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52618.648
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          26
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        <catStat wgtd="wgtd" type="freq">
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        </catStat>
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      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
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      <catgry missing="Y">
        <catValu>
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        </catValu>
        <catStat type="freq">
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        <catStat wgtd="wgtd" type="freq">
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        Generated by ERF
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      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
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        <range min="100" max="999"/>
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      <universe clusion="I">
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      <sumStat wgtd="wgtd" type="vald">
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      <sumStat type="invd">
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      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3204973.368
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      <txt>
        Indicates the Sector of employment of the father
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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          Government- National
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        <catStat type="freq">
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
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        </catValu>
        <labl>
          Government- Foreign
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        <catStat type="freq">
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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        <labl>
          Government- Federal
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        <catStat type="freq">
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <labl>
          Government- Local
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        <catStat type="freq">
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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        </catStat>
        <catStat wgtd="wgtd" type="freq">
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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          Private investment
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          0
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          Private- National
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        <catStat type="freq">
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
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          Private- National inside establishment
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
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        <labl>
          Private- National outside establishment
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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          Private- Foreign
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
          360
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        <labl>
          Private- Foreign inside establishment
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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        </catValu>
        <labl>
          Joint/Cooperative
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
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        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
          420
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        <labl>
          Cooperative
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
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          46
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        <catStat wgtd="wgtd" type="freq">
          18529.744
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        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
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        <labl>
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        </labl>
        <catStat type="freq">
          11
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        <catStat wgtd="wgtd" type="freq">
          6665.192
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          Non-governmental organizations
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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          Charitable association
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        <catStat type="freq">
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        <catStat wgtd="wgtd" type="freq">
          0
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          0
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          0
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <labl>
          Not stated
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        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
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          Government- Local
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          0
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        <catStat wgtd="wgtd" type="freq">
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        <catStat wgtd="wgtd" type="freq">
          141468.184
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
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          52618.648
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        <catValu>
          310
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          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6342.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2724.196
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          16311
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5261792.644
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2450" name="PETHNAT" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="125" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/ nationality [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Ethnicity or nationality
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          617
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          272286.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          16319
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5192659.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, it can also contain country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2451" name="PETHNAT_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="128" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/ nationality [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        16936
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5464946.456
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Coded as per UN recent country classification in Dec. 2012.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Ã…land Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29393.772
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      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          CÃ´te d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          16319
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5192659.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          CuraÃ§ao
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          RÃ©union
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-BarthÃ©lemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18683.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          69
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20129.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          288
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          174783.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29296.716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2452" name="PLIT" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="129" width="1" RecSegNo="1"/>
      <labl>
        Literacy status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        This variable indicates whether the person is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          960
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          272418.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          9694
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3143927.716
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
A person is considered literate if they can both read and write and not just one or the other. A semi-literate person (one who can read, but cannot write) is said to be illiterate.
In the case where the survey asks only whether a person can read but does not ask if they can write, and in case there no information in the questionnaire about the reading and writing ability literacy cannot be determined, these are coded as missing.
If there are no questions about the read and write ability but the educational attainment is elementary or upper the individual is considered literate


COUNTRY SPECIFIC NOTES
----------------------------------
Generated using the education status]]>
      </notes>
    </var>
    <var ID="V2453" name="EVERATTD" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="131" width="2" RecSegNo="1"/>
      <labl>
        Ever attended school
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        This variable indicates whether the individual have ever attended school, academic, coranic or any other formal or informal school
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          980
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          276618.516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          9674
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3139727.88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
All persons of pre-primary school age or above. Primary school age will vary by country. Value must be missing for others.
This is country-specific and depends on how school attendance is defined. Pre-school is included here. Also, in some countries, ever attended is yes only if the person attended for some minimum amount of time. The differences need to be carefully documented.
One is not required to have completed any level of education to answer this question positively.

COUNTRY SPECIFIC NOTES
----------------------------------
Generated using the question indicating the current enrollment status]]>
      </notes>
    </var>
    <var ID="V2454" name="PEDUC" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="133" width="2" RecSegNo="1"/>
      <labl>
        Educational level [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        Highest level of education attained.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1560
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          457811.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          5366
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1778171.74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1783
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          561959.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          810
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          274038.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          974
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          293685.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50679.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2455" name="PEDUC_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="134" EndPos="136" width="3" RecSegNo="1"/>
      <labl>
        Educational level [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        Highest level of education attained
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          960
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          272418.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          600
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          185393.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          1165
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          398336.672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          1703
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          567064.532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          2423
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          786265.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26505.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1783
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          561959.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          810
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          274038.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          974
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          293685.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9251.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34203.316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7225.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2456" name="PYEDUC" wgt-var="V2408" files="F11" dcml="0" intrvl="contin">
      <location StartPos="137" EndPos="138" width="2" RecSegNo="1"/>
      <labl>
        Number of effective years of schooling
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="26"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        26
      </sumStat>
      <sumStat type="mean">
        9.96
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        10.023
      </sumStat>
      <sumStat type="stdev">
        4.47
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4.312
      </sumStat>
      <txt>
        This is a continuous variable of the number of years of formal schooling completed.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off at which information is collected will vary from country to country.
If no grade level information exists, this variable will be missing.
The variable does not take into account the actual number of years required to reach this level, in other words, first grade repeated three times still only counts as 1 year of schooling.
If a person has completed a BA/BSc, MA/MSc or PhD, but no number of years is known, use country specific information for the number of years. 


COUNTRY SPECIFIC NOTES
----------------------------------
The number of years of education was replaced by "0" if the person has never been enrolled (q511=3)
12 cases are reported illiterate in q513 while they have a number of successful years of education up to 4 years and they also are reported to have been enrolled in the past in q511. These cases were checked one by one, and since no indication on whether they are illiterate or not, no correction could be done.]]>
      </notes>
    </var>
    <var ID="V2457" name="PATSCH" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="139" width="1" RecSegNo="1"/>
      <labl>
        School attendance status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        Indicates whether the individual is currently attending school
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          8626
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2781855.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2028
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          634490.732
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
If person on short school holiday when interviewed, he or she is considered to be at school. However, if the person is on the holiday between two years of schooling, one cannot assume that he/she will continue schooling into the next year.
Variable can be created using either attendance or enrolment question (since typically just one of them is available in each survey). In the case that both questions were available, attendance question MUST be used.
This variable must ALWAYS have a note specifying which question (attendance/ enrolment) had been used to create it.
Does not include pre-school or kindergarten programs.
Value must be missing for others.
Does not require one to have completed any level.
Adults currently attending literacy programs are considered as attending school (PATSCH = 1)
In case the person is not currently attending school but there is no information on whether he attended school and left or never attended school use information from PEDUC to impute the right value.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2458" name="PENROL" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="140" width="1" RecSegNo="1"/>
      <labl>
        Level of schooling presently attending
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        Currently enrolled individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        2028
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        634490.732
      </sumStat>
      <sumStat type="invd">
        14908
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4830455.724
      </sumStat>
      <txt>
        PENROL ideally provides information on the level of education in which the individual is enrolled.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10248.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher secondary- academic
        </labl>
        <catStat type="freq">
          1331
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          426692.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher secondary- technical/vocational
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Post secondary- technical
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2161.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          599
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          179710.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15440.972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          14908
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4830455.724
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
For persons presently attending school (PATSCH=1), value missing for others.
For secondary school, if not specified in the questionnaire, it is assumed that it is an academic secondary school.
For the surveys where is no distinction between university and post university they are considered as university
As with PEDUC, we recommend that PENROL be restructured as a categorical variable appropriate to the analysis.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by upgrading the level indicated in the educational status variable (q513) by one level]]>
      </notes>
    </var>
    <var ID="V2459" name="PCLFS" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="142" width="2" RecSegNo="1"/>
      <labl>
        Labor force status in the current period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        Current labour force status that distinguishes between the employed, the unemployed, and those not in the labour force.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Active
        </labl>
        <catStat type="freq">
          4401
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1417531.008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
        <catStat type="freq">
          6253
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1998815.388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Variable is constructed for all persons administered this module in each questionnaire. For this reason the lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.
All persons are considered active in the labour force if they presently have a job (formal or informal, i.e. are employed) or do not have a job but are actively seeking work (i.e. unemployed).

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
To generate the labor force status variable (PCLFS), both who are currently working and who are reported working but not in the 7 days preceding to the interview (temporary absent) were considered economically active. It is worth noting that another question addressed unemployed whether they are actively seeking work during the month preceding the interview and those who said yes were also considered economically active, in addition to those who are reported waiting to be back to their previous job or found a job and waiting to start in q524. While those who are reported unemployed and not seeking work are considered economically inactive (students, homemakers, has income, out of labor force, other).]]>
      </notes>
    </var>
    <var ID="V2460" name="PCMAS" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="144" width="2" RecSegNo="1"/>
      <labl>
        Main activity status in the current period [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        <![CDATA[Main activity status with respect to the labour force, that distinguishes between the employed and the not employed.  The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          3442
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1117371.856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          959
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          300159.152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          3288
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1069484.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1965
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          617898.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158918.344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          506
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          152514.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike PCLFS, the main distinction in PCMAS is between:
- “Employed” -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- “Not Employed”.  
The rationale is that individuals do not generally spend their time “being unemployed”, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the “Not Employed”.
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive – individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".

In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process.


COUNTRY SPECIFIC NOTES
----------------------------------
To generate the main activity status variable, those who are currently working or who are reported to be temporary out of their jobs together with those who are reported waiting to be back to their previous job or found a job and waiting to start in q524 are considered employed. Those who are actively seeking a job are considered unemployed (q523).  While those who are not seeking a job and currently not working represent the inactive sample (students, homemakers, has income, out of labor force, other) and were identified in q525.]]>
      </notes>
    </var>
    <var ID="V2461" name="PCMAS_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="147" width="3" RecSegNo="1"/>
      <labl>
        Main activity status in the current period [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        10654
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3416346.396
      </sumStat>
      <sumStat type="invd">
        6282
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2048600.06
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, that distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others, the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable distinguishes as well between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          3324
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1075713.476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38932.652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          687.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2038.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Employed (1-14 hours) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Employed (15 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Employed (35 hours or more) weekly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          959
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          300159.152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          3288
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1069484.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1965
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          617898.004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158918.344
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20036.18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          455
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132478.196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2048600.06
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
To generate the main activity status variable, those who are currently working or who are reported to be temporary out of their jobs together with those who are reported waiting to be back to their previous job or found a job and waiting to start in q524 are considered employed. Those who are actively seeking a job are considered unemployed (q523).  While those who are not seeking a job and currently not working represent the inactive sample (students, homemakers, has income, out of labor force, other) and were identified in q525.]]>
      </notes>
    </var>
    <var ID="V2462" name="PCEMS" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="149" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        3442
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1117371.856
      </sumStat>
      <sumStat type="invd">
        13494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4347574.6
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in (current or last held) job, ideally following the ICSE classification.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          2808
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          903892.152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          246
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78946.848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          335
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118011.272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10097.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3698.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2725.728
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          13494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4347574.6
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.

Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.

Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.

Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .

Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2463" name="POCC" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="150" EndPos="152" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        3442
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1117371.856
      </sumStat>
      <sumStat type="invd">
        13494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4347574.6
      </sumStat>
      <txt>
        International Standard Occupational classification of the main (current or last held) job, with as much detail as possible (ideally 4-digit ISCO-88/08 if available in original survey).
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          417
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          116748.888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          611
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191665.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          208
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72711.408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          240
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          77454.176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          534
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          170082.952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13683.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          543
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          195795.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          433
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          148657.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          399
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127847.316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2725.728
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          13494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4347574.6
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.

Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
No labels are defined for the occupation codes. By comparing the codes provided to those of the International Standard Classification for Occupations, it was found that they are following the 3 digits 1988 classification (ISCO 1988)]]>
      </notes>
    </var>
    <var ID="V2464" name="POCC_ISCO88_3" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="153" EndPos="156" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job [ISCO 1988- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        3442
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1117371.856
      </sumStat>
      <sumStat type="invd">
        13494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4347574.6
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job, following the 3-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92825.1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Senior government officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Traditional chiefs and heads of villages
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Senior officials of special-interest organizations
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          470.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Directors and chief executives
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          387.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Production and operations department managers
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8652.54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          123
        </catValu>
        <labl>
          Other department managers
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6068.848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7732.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physicists, chemists and related professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          116.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, statisticians and related professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Computing professionals
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9180.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Architects, engineers and related professionals
        </labl>
        <catStat type="freq">
          60
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17067.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          948.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Health professionals (except nursing)
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10366.584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12846.512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          College, university and higher education teaching profession
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5133.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Secondary education teaching professionals
        </labl>
        <catStat type="freq">
          93
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28990.388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Primary and pre-primary education teaching professionals
        </labl>
        <catStat type="freq">
          110
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36860.848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Special education teaching professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3394.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Business professionals
        </labl>
        <catStat type="freq">
          144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46154.972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10212.316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Archivists, librarians and related information professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          244
        </catValu>
        <labl>
          Social science and related professionals
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5941.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          245
        </catValu>
        <labl>
          Writers and creative or performing artists
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3001.716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Religious professionals
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          977.992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9445.608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Computer associate professionals
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3318.992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Optical and electronic equipment operators
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1944.78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3014.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Safety and quality inspectors
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2420.476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Modern health associate professionals (except nursing)
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4056.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7249.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Traditional medicine practitioners and faith healers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5240.524
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Pre-primary education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Special education teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Other teaching associate professionals
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          561.06
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Finance and sales associate professionals
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8604.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Business services agents and trade brokers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          740.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Administrative associate professionals
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19672.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          Customs, tax and related government associate professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          345
        </catValu>
        <labl>
          Police inspectors and detectives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          346
        </catValu>
        <labl>
          Social work associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          347
        </catValu>
        <labl>
          Artistic, entertainment and sports associate professionals
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3845.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Religious associate professionals
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2437.116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          Secretaries and keyboard-operating clerks
        </labl>
        <catStat type="freq">
          66
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20552.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8540.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21276.888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Library, mail and related clerks
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10291.936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          419
        </catValu>
        <labl>
          Other office clerks
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1274.316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Cashiers, tellers and related clerks
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9636.8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information clerks
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5881.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants and related workers
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7029.504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Housekeeping and restaurant services workers
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15734.272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Personal care and related workers
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3934.732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20187.124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Astrologers, fortune-tellers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8246.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Fashion and other models
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          599.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons and demonstrators
        </labl>
        <catStat type="freq">
          352
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          108649.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Stall and market salespersons
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5701.38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6945.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Market-oriented animal producers and related workers
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5135.624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Market-oriented crop and animal producers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          614
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          615
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1442.736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Miners, shotfirers, stone cutters and carvers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1223.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42698.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24883.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          714
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7850.5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Metal molders, welders, sheet-metal workers, structural- met
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2962.352
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, tool-makers and related trades workers
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20176.624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and fitters
        </labl>
        <catStat type="freq">
          109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38649.672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Electrical and electronic equipment mechanics and fitters
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13048.3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Precision workers in metal and related materials
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2221.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Potters, glass-makers and related trades workers
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          905.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          733
        </catValu>
        <labl>
          Handicraft workers in wood, textile, leather and related mat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          734
        </catValu>
        <labl>
          Printing and related trades workers
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4962.596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9876.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1402.38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Textile, garment and related trades workers
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24698.632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Pelt, leather and shoemaking trades workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining- and mineral-processing-plant operators
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5443.792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal-processing-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Glass, ceramics and related plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Wood-processing- and papermaking-plant operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Chemical-processing-plant operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          638.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Power-production and related plant operators
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2599.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Automated-assembly-line and industrial-robot operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Metal- and mineral-products machine operators
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2085.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Chemical-products machine operators
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1430.84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Rubber- and plastic-products machine operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          426.488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          824
        </catValu>
        <labl>
          Wood-products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          825
        </catValu>
        <labl>
          Printing-, binding- and paper-products machine operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          607.288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          Textile-, fur- and leather-products machine operators
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1177.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          827
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          382.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          828
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          351.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Other machine operators and assemblers
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1675.384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive-engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Motor-vehicle drivers
        </labl>
        <catStat type="freq">
          372
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127175.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Agricultural and other mobile-plant operators
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3264.012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          905.176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Street vendors and related workers
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13320.124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Shoe cleaning and other street services elementary occupatio
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          687.532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          913
        </catValu>
        <labl>
          Domestic and related helpers, cleaners and launderers
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37983.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          914
        </catValu>
        <labl>
          Building caretakers, window and related cleaners
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          915
        </catValu>
        <labl>
          Messengers, porters, doorkeepers and related workers
        </labl>
        <catStat type="freq">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48842.576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          916
        </catValu>
        <labl>
          Garbage collectors and related laborers
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3600.14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10583.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8633.472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport laborers and freight handlers
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3365.676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2725.728
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          13494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4347574.6
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Following 3 digits ISCO 1988]]>
      </notes>
    </var>
    <var ID="V2465" name="PIND" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="159" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        3442
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1117371.856
      </sumStat>
      <sumStat type="invd">
        13494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4347574.6
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job, with as much detail as possible.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27025.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2556.464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          436
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          157019.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13884.972
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72441.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          651
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          207751.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          302
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103476.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          211
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63210.104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          740
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          227648.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          746
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          239631.148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2725.728
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          13494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4347574.6
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.

The variable should generally cover the active sample (employed and unemployed if previously employed).
While for Unemployed never previously employed, the variable was coded missing.

Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
No labels are defined for the economic industry codes. By comparing the codes to those of the International Standard Industrial Classification of All Economic Activities, it was found that they follow the 3 digits ISIC Rev.3.
Furthermore, the labels of the economic activities published in some statistical tables on the DOS website were compared to the ISIC Rev.3 classification and were also found the same.
Source: http://www.dos.gov.jo/dos_home_a/main/sdb_ec/sdb_ec_a/household/2008/2-5.pdf]]>
      </notes>
    </var>
    <var ID="V2466" name="PIND_ISIC3_3" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="160" EndPos="163" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job [ISIC Rev. 3- 3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        3442
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1117371.856
      </sumStat>
      <sumStat type="invd">
        13494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4347574.6
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of crops; market gardening; horticulture
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14691.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Farming of animals
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6642.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Growing of crops combined with farming of animals (mixed far
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Agricultural and animal husbandry service activities, except
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4397.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Hunting, trapping and game propagation including related ser
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Mining and agglomeration of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Mining and agglomeration of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Extraction and agglomeration of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Extraction of crude petroleum and natural gas
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1294.484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Service activities incidental to oil and gas extraction excl
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Mining of non-ferrous metal ores, except uranium and thorium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          775.948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1780.516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Production, processing and preservation of meat, fish, fruit
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2622.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2838.38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          153
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          154
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10171.224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          155
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3147.236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1449.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          171
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          481.652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          172
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5254.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          173
        </catValu>
        <labl>
          Manufacture of knitted and crocheted fabrics and articles
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          766.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          83
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29940.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Dressing and dyeing of fur; manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          661.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          661.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3703.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1804.204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Publishing
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2158.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8531.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2585.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Processing of nuclear fuel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic chemicals
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8607.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6344.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3812.348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          269
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13084.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1631.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of basic precious and non-ferrous metals
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          705.396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16498.848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          289
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metal workin
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2913.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of general purpose machinery
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2454.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of special purpose machinery
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          818.032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of domestic appliances n.e.c.
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Manufacture of electric motors, generators and transformers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Manufacture of electricity distribution and control apparatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Manufacture of insulated wire and cable
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1038.416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Manufacture of accumulators, primary cells and primary batte
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Manufacture of electric lamps and lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          319
        </catValu>
        <labl>
          Manufacture of other electrical equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of electronic valves and tubes and other electro
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of television and radio transmitters and apparat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of television and radio receivers, sound or vide
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          382.712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Manufacture of medical, measuring, checking, testing, naviga
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          454.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Manufacture of watches and clocks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Building and repairing of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of railway and tramway locomotives and rolling s
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Manufacture of aircraft and spacecraft
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          359
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          361
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15755.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          369
        </catValu>
        <labl>
          Manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2716.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          371
        </catValu>
        <labl>
          Recycling of metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Recycling of non-metal waste and scrap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          401
        </catValu>
        <labl>
          Production, collection and distribution of electricity
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10844.284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          402
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          403
        </catValu>
        <labl>
          Steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3040.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Site preparation
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7272.748
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Building of complete constructions or parts thereof; civil e
        </labl>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17569.204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Building installation
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13854.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Building completion
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33745.388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          455
        </catValu>
        <labl>
          Renting of construction or demolition equipment with operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8888.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          73
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23990.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          503
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3119.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          505
        </catValu>
        <labl>
          Retail sale of automotive fuel
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          603.416
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4112.452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Wholesale of agricultural raw materials, live animals, food,
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8919.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2355.112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Wholesale of non-agricultural intermediate products, waste a
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          573.86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          519
        </catValu>
        <labl>
          Other wholesale
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Non-specialized retail trade in stores
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16280.94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10331.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Other retail trade of new goods in specialized stores
        </labl>
        <catStat type="freq">
          290
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89780.512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Retail sale of second-hand goods in stores
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1764.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          525
        </catValu>
        <labl>
          Retail trade not in stores
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9017.368
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          526
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6774.072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Hotels; camping sites and other provision of short-stay acco
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7956.12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Restaurants, bars and canteens
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12949.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1262.584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          238
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80631.82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          603
        </catValu>
        <labl>
          Transport via pipelines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Scheduled air transport
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2165.284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Non-scheduled air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10605.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Post and courier activities
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1465.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Telecommunications
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7346.312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14685.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Other financial intermediation
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1801.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2399.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          671
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation, except ins
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2199.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          672
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4544.14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Renting of transport equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Renting of other machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Renting of personal and household goods n.e.c.
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5111.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Hardware consultancy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Software consultancy and supply
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5160.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Data processing
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Data base activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          725
        </catValu>
        <labl>
          Maintenance and repair of office, accounting and computing m
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          776.568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Other computer related activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          705.396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1144.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Legal/accounting/bookkeeping/auditing activities; tax/market
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8437.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Architectural, engineering and other technical activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2074.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          743
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1845.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Business activities n.e.c.
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11745.056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          252
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80877.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          486
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          146295.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          475.632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Primary education
        </labl>
        <catStat type="freq">
          135
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46925.476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42277.224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          74
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21972.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          809
        </catValu>
        <labl>
          Adult and other education
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6121.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Human health activities
        </labl>
        <catStat type="freq">
          148
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49898.38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Social work activities
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5857.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4278.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Activities of business, employers and professional organizat
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          818.032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          919
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5142.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Motion picture, radio, television and other entertainment ac
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3757.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          922
        </catValu>
        <labl>
          News agency activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2603.568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          923
        </catValu>
        <labl>
          Library, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          335.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          924
        </catValu>
        <labl>
          Sporting and other recreational activities
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1726.716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          930
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          950
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27052.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4214.1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2725.728
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          13494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4347574.6
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 9999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------
Following 3 digits ISIC Rev. 3]]>
      </notes>
    </var>
    <var ID="V2467" name="PTYPEWK" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="164" EndPos="165" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        3442
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1117371.856
      </sumStat>
      <sumStat type="invd">
        13494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4347574.6
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          1177
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          379060.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          2225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          724861.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8342.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2381.772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2725.728
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          13494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4347574.6
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2468" name="PTYPEWK_D" wgt-var="V2408" files="F11" dcml="0" intrvl="discrete">
      <location StartPos="166" EndPos="168" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        3442
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1117371.856
      </sumStat>
      <sumStat type="invd">
        13494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4347574.6
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          1177
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          379060.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          2225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          724861.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8342.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2381.772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2725.728
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          13494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4347574.6
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
