<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="TUN_EBCNV_2005_HD_V2.0" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Template_project
        </titl>
        <IDNo>
          TUN_EBCNV_2005_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>
          National Survey on Household Budget, Consumption and Standard of Living, EBCNV 2005
        </titl>
        <altTitl>
          EBCNV 2005
        </altTitl>
        <parTitl>
          Enquête Nationale sur le Budget, la Consommation et le Niveau de Vie des Ménages, EBCNV 2005
        </parTitl>
        <IDNo>
          TUN_EBCNV_2005_HD_V2.0
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Economic Research Forum
        </AuthEnty>
        <AuthEnty>
          National Institute of Statistics - Tunisia
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) 2014, Economic Research Forum | (c) 2005, National Institute of Statistics, Tunisia
        </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 National Survey on Household Budget, Consumption and Standard of Living is conducted each 5 years since 1975
        </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 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE NATIONAL INSTITUTE OF STATISTICS - TUNISIA (INS)
</p>

The National Survey on Household Budget, Consumption, and Standard of Living, 2005 is a quinquennial survey. It is the eighth survey of its kind that was carried out by the National Institute of Statistics (INS) in Tunisia. 
The seven previous surveys were conducted in 1968, 1975, 1980, 1985, 1990, 1995 and 2000, concurrently with the preparatory work for the Tunisian development plans. 
The 2005 survey was conducted as part of the preparation work for the Tenth Development Plan (2007-2011). Its expected findings would allow assessing the progress made in the improvements of the living level & conditions of the population.

The survey aims at providing detailed information on the procurement of goods and services for consumption (food consumption as well as household access to community services of health and education). And its data was collected from direct observation of household consumption to allow for having the necessary elements to assess the situation & changes in the living standards & conditions of the households.

Thus, the 2005 survey tackles three major areas of study:
1 - Household expenditure and acquisitions during the survey period
2 - Food consumption and nutritional status of households.
3 - Household access to community services of health and education.

The objectives of the survey are:
a- Identifying levels of expenditure on the household level: The survey aims to assess the levels of household expenditure .The total expenditure of the household, is not only an indicator of income, but it is also a quantitative assessment of the standard of living index.

b- Income distribution: Due to the absence of data on income distribution, the mass distribution of expenditure between the different categories of the population constitutes a first outline for the income distribution in the country.

c- Investigating the structure of expenditure: Detailed information collected on expenditures per product used to establish the structures of the household expenditure as well as the budget coefficients according to different levels of classifications of goods in the nomenclature of goods and services. These factors coefficients are particularly useful for revision and development of the weights of the Consumer Prices Index (CPI). It should also be noted that the change in expenditure structure is an indicator of the evolution of living standards.

d- Analysis of household demand: Household behavior in terms of product demand is synthesized by the coefficients of income elasticity which, according to the model of consumption retained and under the assumptions of the growth of income and population, allows predicting future household demand.

e- Resources-use balance in the national accounts: The results related to the consumption by product are necessary elements for the development of balanced  resource-use of products in the frame of national accounts.

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="2005-05-05" event="start" cycle="-"/>
        <collDate date="2006-05-04" event="end" cycle="-"/>
        <nation abbr="Tun">
          Tunisia
        </nation>
        <geogCover>
          Covering a sample of all urban, small and medium towns and rural areas.
        </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="INS" affiliation="Tunisia ">
          National Institute 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 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE NATIONAL INSTITUTE OF STATISTICS - TUNISIA (INS)
</p>

Sampling method 
==========
The National Survey on Household Budget, Consumption and Standard of Living, 2005 has focused initially on a sample of 13,392 households representing 0.61% of total households in the country (61 surveyed household for every 10,000 household) . 
This sample is distributed across 1116 districts covering all the country governorates, cities, urban and rural areas. The sample was also equally divided on the months of the survey year to take the seasonal changes in household expenditure into account.

These households were drawn using a two stages stratified random sampling in each governorate. 
The sampling frame follows that of the general Census of Population and Housing in 2004.

Stratification criteria: 
The sampling frame is stratified by two geographical criteria: namely the governorate and the living area. The latter is stratified as follows: large municipalities, medium and small towns, major cities and the rest of the non-municipal areas. These stratification criteria (governorate, habitat and size of municipalities) represent the differentiation variable of lifestyles households. Strata used are as follows:

	Stratum of large cities (stratum 1): the municipalities of the city of Tunis and its suburbs, the city of Bizerte and its suburbs, the city of Sousse and its suburbs, the city of Kairouan and its suburbs, the city Sfax and its suburbs, and the general Gabes. Thus, this stratum is formed of large urban centers corresponding to municipalities with more than 100.000 inhabitants and neighboring municipalities.

	Stratum of other cities (stratum 2): This is all small and medium sized cities other than those classified in the stratum of large cities.

	Stratum of the main cities (stratum 3): These are non-municipal urban areas classified as major cities during the general census of population and housing 2004 (with a population of more than 70 households).a city is considered a main city if the number of its inhabitants exceeds 400 during the census of 2004.

	Stratum dispersed outside communes (stratum 4): These are areas of land located outside the main towns and cities. Households in these areas live in houses scattered or grouped in small towns.
This strata classification is closely related to the levels of household income and lifestyle.


Survey type:
======== 
The sampling frame is divided on the level of each governorate according to strata previously defined. It was set, at the level of each stratum, to make a two-stage random sampling for the selection of the household survey sample. This drawing process allows to breakdown the sample into clusters of 12 households relatively little distant from each other, thereby facilitating the conduct of the survey at the time of the information collection in the field

In the first stage: a sample of primary units is drawn in proportion to their size in number of households as they were identified.
Taking into consideration that the primary units correspond to the districts that have been defined in the census of the population and these geographic areas contain on average 70 households.

In the second stage: in each sampled district, 12 households are selected according to the following method:
The households in each sampled district are classified primarily according to the number of employed persons in the household. Within each category of classified households, households are also classified according to the number of persons in each household. A systematic sampling is then performed to select 12 sampled households per primary unit (sampled district).
For each sampled district, another 12 households are drawn according to the same previously illustrated criteria. These households serve as a substitutive sample so that in case the interviewer failed to get in contact with the originally selected household (due to long absence- change of place of residence) , after coordinating with the supervisor, this household can be replaced by one from the substitutive sample. For this purpose, two lists of the names of head of households were developed (original list, substitutive list) that the survey is supposed to cover.
                                                                                                                               

Distribution of districts and households sampled by governorates                                                                                                                                
<table class='xsl-table'>
<tr>
<td>Governorate 	</td><td COLSPAN="2">Total</td>	<td COLSPAN="2">	Sample size	</td>	</tr>	
<tr><td></td>	           <td> District</td><td>	Households	</td><td>District</td><td>	Households</td>	<td>Household sample percent (%)</td></tr>	
<tr><td>Tunis</td>	<td>            3628</td><td>	244018	</td><td>96</td>	<td>1152</td>	<td>0.47	</td></tr>
<tr><td>Ariana	 </td>	<td>           1536</td>	<td>	101327</td>	<td>	48</td>	<td>	576</td>	<td>	0.57	</td></tr>
<tr><td>Ben Arous</td>	<td>	1691</td>	<td>	117901</td>	<td>	60</td>	<td>	720</td>	<td>	0.61	<strong></td></tr></strong>
<tr><td>La Manouba	</td>	<td>1008	</td>	<td>70750</td>	<td>	36	</td>	<td>432	</td>	<td>0.61	</td></tr>
<tr><td>District of Tunis</td>	<td>	7863</td>	<td>	533996</td>	<td>	240</td>	<td>	2880</td>	<td>	0.54</td></tr>	
<tr><td>Nabeul	</td>	<td>            2174</td>	<td>	162691</td>	<td>	60</td>	<td>	720</td>	<td>	0.44	</td></tr>
<tr><td>Zaghouan</td>	<td>	473</td>	<td>	33532</td>	<td>	36	</td>	<td>432	</td>	<td>1.29	</td></tr>
<tr><td>Bizerte	     </td>	<td>       1799</td>	<td>	119976	</td>	<td>60</td>	<td>	720	</td>	<td>0.6	</td></tr>
<tr><td>North East </td>	<td>           4446</td>	<td>	316199	</td>	<td>156	</td>	<td>1872</td>	<td>	0.59	</td></tr>
<tr><td>Baja	         </td>	<td>   972	</td>	<td>68584	</td>	<td>36	</td>	<td>432	</td>	<td>0.63	</td></tr>
<tr><td>Jendouba	</td>	<td>1307	</td>	<td>92877</td>	<td>	36	</td>	<td>432</td>	<td>	0.47	</td></tr>
<tr><td>Le Kef	               </td>	<td>876	</td>	<td>59107	</td>	<td>36	</td>	<td>432	</td>	<td>0.73	</td></tr>
<tr><td>Siliana	               </td>	<td>666	</td>	<td>48448</td>	<td>	36	</td>	<td>432	</td>	<td>0.89	</td></tr>
<tr><td>North West</td>	<td>	3821	</td>	<td>269016</td>	<td>	144</td>	<td>	1728	</td>	<td>0.64	</td></tr>
<tr><td>Sousse	             </td>	<td>1876	</td>	<td>124519</td>	<td>	60	</td>	<td>720</td>	<td>	0.58	</td></tr>
<tr><td>Monastir	        </td>	<td>      1480</td>	<td>	100967</td>	<td>	48</td>	<td>	576	</td>	<td>0.57	</td></tr>
<tr><td>Mahdia	             </td>	<td> 1201	</td>	<td>79197	</td>	<td>36	</td>	<td>432</td>	<td>	0.55	</td></tr>
<tr><td>Sfax	              </td>	<td>2822</td>	<td>	198565	</td>	<td>72	</td>	<td>864</td>	<td>	0.44	</td></tr>
<tr><td>Centre East	</td>	<td>7379</td>	<td>	503248	</td>	<td>216</td>	<td>	2592</td>	<td>	0.52	</td></tr>
<tr><td>Kairouan	</td>	<td>1572	</td>	<td>107923</td>	<td>	60	</td>	<td>720	</td>	<td>0.67	</td></tr>
<tr><td>Kasserine	</td>	<td>1186	</td>	<td>79448	</td>	<td>48	</td>	<td>576</td>	<td>	0.73	</td></tr>
<tr><td>Sidi Bouzid	</td>	<td>1113	</td>	<td>76771	</td>	<td>36	</td>	<td>432</td>	<td>	0.56	</td></tr>
<tr><td>Centre West	</td>	<td>3871	</td>	<td>264142	</td>	<td>144	</td>	<td>1728</td>	<td>	0.65	</td></tr>
<tr><td>Gabis	            </td>	<td>   975</td>	<td>	69703	</td>	<td>36	</td>	<td>432	</td>	<td>0.62	</td></tr>
<tr><td>Mednine            </td>	<td>  1328</td>	<td>	90000	</td>	<td>36	</td>	<td>432</td>	<td>	0.48	</td></tr>
<tr><td>Tataouine	</td>	<td>408</td>	<td>	26575</td>	<td>	36</td>	<td>	432</td>	<td>	1.63	</td></tr>
<tr><td>South East	              </td>	<td>2711</td>	<td>	186278	</td>	<td>108</td>	<td>	1296	</td>	<td>0.7	</td></tr>
<tr><td>Gafsa	              </td>	<td>959</td>	<td>	65926	</td>	<td>36	</td>	<td>432</td>	<td>	0.66	</td></tr>
<tr><td>Tozeur	             </td>	<td> 302	</td>	<td>20485</td>	<td>	36</td>	<td>	432</td>	<td>	2.11	</td></tr>
<tr><td>Kebeli	               </td>	<td>383	</td>	<td>26549</td>	<td>	36	</td>	<td>432</td>	<td>	1.63	</td></tr>
<tr><td>South West	</td>	<td>1644	</td>	<td>112960	</td>	<td>108	</td>	<td>1296	</td>	<td>1.15</td></tr>
<tr><td>Total</td>	<td>31735	</td>	<td>2185839 </td>	<td>1116	</td>	<td>13392</td>	<td>	0.61	</td></tr>
</table>]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[The survey includes two questionnaires:

1) Collective household expenditure questionnaire.
2) Individual expenditure questionnaire for those who have a source of income.]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[125 interviewers, 31 controller and other 8 supervisors were recruited for the data collection phase. The supervisors were selected from the National Institute of Statistics personnel having a good experience in this kind of surveys to supervise and coordinate the fieldwork process.
Each supervisor was in charge to assign interviewers to different geographical units. Each interviewer collected data from 12 households during each month of the 12 months of the survey year. 

The main objective of this survey is to estimate the total annual household expenditure. Therefore, the observation period at a given household was conducted over a four weeks period (7 daily records + 2 decadal records).Thus, goods and services have been classified into categories of products that are each affected by one or more types identified. The frequency of records and reference periods vary according to the nature and regularity of different households expenditures.

To better monitor all expenditure categories, five types of records are identified:

a) Record of regular expenses: This record is designed to collect regular and periodic expenses incurred by the household. These expenses generally involve the entire household (rent, STEG electricity bill, bills of SONEDE for drinking water ...).

b) Record of personal expenses: This is a record to collect individual expenditure of working members of the household or those who have a source of income other than the head of the household. Some products are observed weekly (tobacco, consumption outside, etc ...), others are observed monthly (hairdresser, medical care, current clothing, etc ...) and finally other goods and services are observed yearly (auto sticker, major repairs of vehicle, expenses on the occasion of a religious festival or a family event, etc ...).

c) Daily record: This record is concerned with all acquisitions made by the household, day by day, for a week, except for regular expenses and individual expenses of active members (or having a source income) other than the head of household.

d) Decadal record: This record covers all acquisitions made by the household during (10 days) of observation with the exception of goods and services in daily record (bread, vegetables, tobacco ...), individual expenses and periodic expenses of the household.

e) Retrospective record: This record is exclusively related to the acquisition of goods and services in the product category corresponding to a long and irregular acquisition, carried out by the household during the last eleven months preceding the start of the survey.]]>
        </collSitu>
        <weight>
          <![CDATA[The survey results are extrapolated to the total population of the four strata.

The coefficients are calculated on the basis of the population of July 1st, 2005.]]>
        </weight>
        <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>
      <anlyInfo>
        <respRate>
          During the National Survey on Household Budget, Consumption and Standard of Living, 2005, 12318 out of 13992 households responded to the survey questionnaire. with a response rate of 92%
        </respRate>
      </anlyInfo>
    </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 National Institute of Statistics -Tunisia 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; EBCNV 2005 - National Institute of Statistics (INS), Tunisia. Egypt: Economic Research Forum (ERF).]]>
        </citReq>
        <conditions>
          Licensed datasets, accessible under conditions.
        </conditions>
        <disclaimer>
          The Economic Research Forum and the National Institute of Statistics in Tunisia 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="F20" URI="TUN_EBCNV_2005_HD_V2.0.Nesstar?Index=0&amp;Name=Tunisia05-HH-V2">
    <fileTxt>
      <fileName>
        Tunisia05-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="F21" keyvar="V3440"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          12318
        </caseQnty>
        <varQnty>
          191
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F21" URI="TUN_EBCNV_2005_HD_V2.0.Nesstar?Index=1&amp;Name=Tunisia05-IND-V2">
    <fileTxt>
      <fileName>
        Tunisia05-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="F20" keyvar="V3631 V3636"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          56947
        </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="V3438 V3439 V3440 V3441">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V3442 V3443 V3444">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V3445 V3446 V3447 V3448 V3449 V3450 V3451 V3452">
      <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="V3453 V3454 V3455 V3456 V3457 V3458 V3459 V3460 V3461 V3462 V3463">
      <labl>
        Dwelling characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG7" type="subject" var="V3464 V3465 V3466 V3467 V3468 V3469 V3470 V3471 V3472 V3473 V3474 V3475 V3476 V3477 V3478 V3479 V3480 V3481 V3482 V3483">
      <labl>
        Ownership of assets
      </labl>
    </varGrp>
    <varGrp ID="VG8" type="subject" var="V3484 V3486 V3488 V3489 V3490 V3491 V3493 V3495 V3497 V3499 V3501 V3503 V3505 V3507 V3509 V3511 V3513">
      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG9" type="subject" var="V3485 V3487 V3492 V3494 V3496 V3498 V3500 V3502 V3504 V3506 V3508 V3510 V3512 V3514">
      <labl>
        Spouses' characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V3515 V3516 V3517 V3518 V3519 V3520 V3521 V3522 V3523 V3524 V3525 V3526 V3527 V3528 V3529 V3530 V3531 V3532 V3533 V3534 V3535 V3536 V3537 V3538 V3539 V3540 V3541 V3542 V3543 V3544 V3545 V3546 V3547 V3548 V3549 V3550 V3551 V3552 V3553 V3554 V3555 V3556 V3557 V3558 V3559 V3560 V3561 V3562 V3563 V3564 V3565 V3566 V3567 V3568 V3569 V3570 V3571 V3572 V3573 V3574 V3575 V3576 V3577 V3578 V3579 V3580 V3581 V3582 V3583 V3584 V3585 V3586 V3587 V3588 V3589 V3590 V3591 V3592 V3593 V3594 V3595 V3596 V3597 V3598 V3599 V3600 V3601 V3602 V3603 V3604 V3605 V3606 V3607 V3608 V3609 V3610 V3611 V3612 V3613 V3614 V3615 V3616 V3617 V3618 V3619 V3620 V3621 V3622 V3623 V3624 V3625 V3626 V3627 V3628">
      <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">
      <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="V3629 V3630 V3631 V3632 V3636">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG13" type="subject" var="V3633 V3634 V3635">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V3637 V3638 V3639 V3640 V3641 V3642">
      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V3643 V3645 V3647 V3649 V3651 V3653 V3655 V3657 V3659 V3661 V3663 V3665 V3667 V3669 V3671 V3673">
      <labl>
        Father's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V3644 V3646 V3648 V3650 V3652 V3654 V3656 V3658 V3660 V3662 V3664 V3666 V3668 V3670 V3672 V3674">
      <labl>
        Mother's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG17" type="subject">
      <labl>
        Nationality and Immigration
      </labl>
    </varGrp>
    <varGrp ID="VG18" type="subject" var="V3675 V3676 V3677 V3678 V3679 V3680 V3681">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG19" type="subject">
      <labl>
        Health
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V3682 V3683 V3684 V3685 V3686 V3687 V3688 V3689 V3690 V3691 V3692">
      <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="V3438" name="COUNTRY" files="F20" 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 households
      </universe>
      <sumStat type="vald">
        12318
      </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">
          0
        </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">
          12318
        </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="V3439" name="YEAR" files="F20" 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="2005" max="2005"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2005
        </catValu>
        <catStat type="freq">
          12318
        </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="V3440" name="CASESER" files="F20" dcml="0" intrvl="contin">
      <location StartPos="8" EndPos="12" width="5" RecSegNo="1"/>
      <labl>
        Unique unit identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="12318"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        12318
      </sumStat>
      <sumStat type="mean">
        6159.5
      </sumStat>
      <sumStat type="stdev">
        3556.045
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3441" name="HWEIGHT" wgt="wgt" files="F20" dcml="4" intrvl="contin">
      <location StartPos="13" EndPos="21" width="9" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="27" max="1275"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat type="min">
        27
      </sumStat>
      <sumStat type="max">
        1275
      </sumStat>
      <sumStat type="mean">
        180.576
      </sumStat>
      <sumStat type="stdev">
        70.127
      </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="V3442" name="REG" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="7"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Grand Tunis
        </labl>
        <catStat type="freq">
          2522
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          547446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          North East
        </labl>
        <catStat type="freq">
          1679
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          323117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          North West
        </labl>
        <catStat type="freq">
          1632
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          279403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Centre East
        </labl>
        <catStat type="freq">
          2315
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          500290
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Centre West
        </labl>
        <catStat type="freq">
          1697
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          273563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          South East
        </labl>
        <catStat type="freq">
          1210
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          181822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South West
        </labl>
        <catStat type="freq">
          1262
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118508
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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="V3443" name="AREA" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Area
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Large cities
        </labl>
        <catStat type="freq">
          3248
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          743824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Medium and small cities
        </labl>
        <catStat type="freq">
          4384
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          773525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rural areas
        </labl>
        <catStat type="freq">
          4685
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          706800
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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="V3444" name="RURURB" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="24" EndPos="24" 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 households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </sumStat>
      <sumStat type="invd">
        1
      </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">
          4685
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          706800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          7632
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1517349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </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="V3445" name="HNUM" wgt-var="V3441" files="F20" dcml="0" intrvl="contin">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        Number of persons
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="25"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        25
      </sumStat>
      <sumStat type="mean">
        4.623
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        4.51
      </sumStat>
      <sumStat type="stdev">
        2.074
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.976
      </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>
      <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="V3446" name="MALNUM" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="27" EndPos="28" width="2" RecSegNo="1"/>
      <labl>
        Number of Males
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </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">
        2.214
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.172
      </sumStat>
      <sumStat type="stdev">
        1.334
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.29
      </sumStat>
      <txt>
        Total number of Males in the household (including children)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          873
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          568970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3654
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          681299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2783
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          499886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1261
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          217731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          455
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          120
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5956
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124
        </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="V3447" name="FEMLNUM" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="29" EndPos="30" width="2" RecSegNo="1"/>
      <labl>
        Number of Females
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="13"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        13
      </sumStat>
      <sumStat type="mean">
        2.409
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.338
      </sumStat>
      <sumStat type="stdev">
        1.364
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.308
      </sumStat>
      <txt>
        Total number of females in the household (including children)
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          211
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          612334
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3833
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2706
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          481605
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1403
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          240279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          548
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          223
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32630
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124
        </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="V3448" name="CH14" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Number of persons under age 14
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        1.141
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.098
      </sumStat>
      <sumStat type="stdev">
        1.293
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.256
      </sumStat>
      <txt>
        Number of persons under age 14 living in the household
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5510
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1014136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2401
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          441517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2433
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          436547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1342
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          233187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          456
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          73053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          129
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62
        </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="V3449" name="NUM65" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Number of persons aged 65 or more
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </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">
        0.401
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.391
      </sumStat>
      <sumStat type="stdev">
        0.648
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.641
      </sumStat>
      <txt>
        Number of household members aged 65 or more including head and spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          8459
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1544208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2790
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          492877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          1052
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          184346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2718
        </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="V3450" name="HCOMP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Household composition
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223506
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        643
      </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">
          1843
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          338183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1-2 adults, 1-2 children
        </labl>
        <catStat type="freq">
          2149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          409824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          1-2 adult, 3 or more children
        </labl>
        <catStat type="freq">
          1942
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          343569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          3 adults or more, 0-1 child
        </labl>
        <catStat type="freq">
          3864
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          715176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          3 adults or more, 2-3 children
        </labl>
        <catStat type="freq">
          1925
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          330481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          3 adults or more, 4 children or more
        </labl>
        <catStat type="freq">
          591
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86273
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          643
        </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="V3451" name="MARRIED" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Head living in couple
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </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">
          2627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Married couple head and spouse
        </labl>
        <catStat type="freq">
          9691
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1756163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Several cohabiting spouses
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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="V3452" name="EARN" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Number of earners
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </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">
          1474
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          253051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          6500
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1155398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3095
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          585507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          899
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          271
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          61
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          253
        </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 total number of household members who were working during the week preceding the survey (v_230), in addition to the number of those who didn't work during the reference period due to illness, in rest leave, in leave because of bad weather, temporary stop of enterprise activity (v_232).
Those who have income or managing own property in addition to the number of pensioners (retired) were also counted among earners.
Unpaid family workers were excluded. 
When the employment status is missing , unpaid family workers could not be identified , hence, they were not classified among income earners.]]>
      </notes>
    </var>
    <var ID="V3453" name="DWLTYP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="37" EndPos="37" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12311
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2222942
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1207
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          7405
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1230738
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          4292
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          848226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          83
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14333
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1207
        </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="V3454" name="DWLTYP_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="40" width="3" RecSegNo="1"/>
      <labl>
        Type of dwelling [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="450"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12311
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2222942
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1207
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          7196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1191290
        </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">
          192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          House in an agency
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4093
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Villa or floor in a villa
        </labl>
        <catStat type="freq">
          4292
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          848226
        </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">
          531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129645
        </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">
          69
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11529
        </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">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2804
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1207
        </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="V3455" name="DWLTEN" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="41" EndPos="41" width="1" RecSegNo="1"/>
      <labl>
        Tenure of dwelling [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          1059
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          10674
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1901561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Provided free
        </labl>
        <catStat type="freq">
          584
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          108467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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="V3456" name="DWLTEN_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="44" width="3" RecSegNo="1"/>
      <labl>
        Tenure of dwelling [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="430"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          1059
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213889
        </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">
          10674
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1901561
        </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">
          584
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          108467
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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="V3457" name="ROOM" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12234
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2208601
      </sumStat>
      <sumStat type="invd">
        84
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15548
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        12
      </sumStat>
      <sumStat type="mean">
        2.946
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.971
      </sumStat>
      <sumStat type="stdev">
        1.171
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.15
      </sumStat>
      <txt>
        Number of rooms excluding bathroom and kitchen
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          193003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3091
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          534863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4629
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          861106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          463637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          595
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          106713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          217
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1301
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15548
        </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="V3458" name="ELECT" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="47" width="1" RecSegNo="1"/>
      <labl>
        Electrified
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Indicates if the dwelling is electrified or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          136
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electrified
        </labl>
        <catStat type="freq">
          12181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2203598
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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
----------------------------------
It is indicated in the Arabic/French questionnaire that code "6: other source" includes private generator. Therefore, code "6" is recoded "electrified".]]>
      </notes>
    </var>
    <var ID="V3459" name="SLIGHT" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Source of energy for lighting
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </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">
          12124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2195275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          126
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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
----------------------------------
It is notable that in the provided Arabic/French questionnaire code "6" includes other source and specified private generator as a result code "6" is recoded as a private source of energy for lighting .]]>
      </notes>
    </var>
    <var ID="V3460" name="SCOOK" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Source of energy for cooking
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12304
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2220888
      </sumStat>
      <sumStat type="invd">
        14
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3261
      </sumStat>
      <txt>
        Distinguish between different sources of energy for cooking
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
        <catStat type="freq">
          145
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30430
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          12085
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2178701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Wood &amp; coal
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6635
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3261
        </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
----------------------------------
Code "6" includes wood and other sources as stated in the questionnaires (Arabic and French). Therefore, code"6" is recoded "4:wood and coal" in source of energy for cooking.]]>
      </notes>
    </var>
    <var ID="V3461" name="WAT" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Water facilities
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12292
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2219101
      </sumStat>
      <sumStat type="invd">
        26
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5048
      </sumStat>
      <txt>
        Indicates from where the household get its drinking water
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Piped supply
        </labl>
        <catStat type="freq">
          10216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1885282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public tap
        </labl>
        <catStat type="freq">
          204
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Well
        </labl>
        <catStat type="freq">
          486
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tanker
        </labl>
        <catStat type="freq">
          200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          1186
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          187492
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5048
        </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="V3462" name="TOIF" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Toilet facility
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12273
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2216546
      </sumStat>
      <sumStat type="invd">
        45
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7603
      </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">
          6131
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1222915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes and not connected to sewage
        </labl>
        <catStat type="freq">
          6142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          993631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No facility
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7603
        </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 category "No toilet facility" could not be indicated since it is not reported in any of the dwelling characteristics collected in the questionnaire.]]>
      </notes>
    </var>
    <var ID="V3463" name="TOIF_SH" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Toilet facility shared
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12299
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2220797
      </sumStat>
      <sumStat type="invd">
        19
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3352
      </sumStat>
      <txt>
        Indicates whether the household shares the toilet facility or no
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Private toilet
        </labl>
        <catStat type="freq">
          10440
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1910314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Shared toilet
        </labl>
        <catStat type="freq">
          1859
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          310483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No toilet facility
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3352
        </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 whether the toilet is shared or no but we do know if the toilet is inside or outside the dwelling we can consider that all toilets outside the dwelling are shared toilets

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3464" name="CAR" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Has a car, van, taxi, cart, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223245
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        904
      </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">
          10099
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1796068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          2215
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          427177
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          904
        </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
----------------------------------
This variable is constructed using 4 variables, where v_401 and v_403 indicate status of ownership and v_402 and v_404 indicate type of vehicle owned.

Includes: Private car or cart]]>
      </notes>
    </var>
    <var ID="V3465" name="MBCYCLE" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Has bicycle, scooter, motorcycle, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223245
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        904
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to bicycle, scooter, motorcycle, etc...
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          10441
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1888545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1873
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          334700
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          904
        </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
----------------------------------
This variable is constructed using 4 variables, where v_401 and v_403 indicate status of ownership and v_402 and v_404 indicate type of vehicle owned.

Includes: Bicycle or motorcycle]]>
      </notes>
    </var>
    <var ID="V3466" name="TELV" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Has a TV, LCD, LED, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223317
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        832
      </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">
          1005
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          162553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          11308
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2060764
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          832
        </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="V3467" name="RADIO" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="56" width="1" RecSegNo="1"/>
      <labl>
        Has radio or radio-cassette
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12315
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223380
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        769
      </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">
          2752
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          479544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          9563
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1743836
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          769
        </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 and radio cassette]]>
      </notes>
    </var>
    <var ID="V3468" name="SATD_REC" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Has Satellite dish, receiver, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12308
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2222036
      </sumStat>
      <sumStat type="invd">
        10
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2113
      </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">
          5209
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          895103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          7099
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1326933
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2113
        </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 channel cable services]]>
      </notes>
    </var>
    <var ID="V3469" name="PLAYER" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="58" width="1" RecSegNo="1"/>
      <labl>
        Has DVD, VCR, CD player, audio player, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </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">
          10822
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1919394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1495
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          304523
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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 player]]>
      </notes>
    </var>
    <var ID="V3470" name="CAMERA" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="59" width="1" RecSegNo="1"/>
      <labl>
        Has photo or video camera
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12316
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223609
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        540
      </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">
          10778
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1912498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1538
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          311111
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          540
        </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: Photo or video camera]]>
      </notes>
    </var>
    <var ID="V3471" name="TELPH" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Has telephone, cell phone, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12316
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223656
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        493
      </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">
          3847
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          655675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          8469
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1567981
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          493
        </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="V3472" name="COMPUTER" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="61" 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 min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223053
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1096
      </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">
          11253
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1998188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1060
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          224865
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1096
        </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: Personal computer or laptop.]]>
      </notes>
    </var>
    <var ID="V3473" name="INTERNET" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="62" width="1" RecSegNo="1"/>
      <labl>
        Has internet line and related equipments (router, USB, etc...)
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12292
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2218976
      </sumStat>
      <sumStat type="invd">
        26
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5173
      </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">
          12111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2176947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42029
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5173
        </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="V3474" name="REFRG" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="63" width="1" RecSegNo="1"/>
      <labl>
        Has refrigerator, freezer, water cooler, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </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">
          1714
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          275229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          10603
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1948688
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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 deep freezer.]]>
      </notes>
    </var>
    <var ID="V3475" name="COOKER" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="64" EndPos="64" width="1" RecSegNo="1"/>
      <labl>
        Has cooker, stove, oven, etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </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">
          524
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          90178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          11793
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2133739
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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: Stove with or without oven]]>
      </notes>
    </var>
    <var ID="V3476" name="MICROWAVE" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Has microwave, grill, fryer etc...
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223097
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1052
      </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">
          10662
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1890293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1651
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          332804
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1052
        </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="V3477" name="WASH" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Has washing machine
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12308
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2222076
      </sumStat>
      <sumStat type="invd">
        10
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2073
      </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">
          7564
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1270298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          4744
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          951778
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2073
        </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="V3478" name="DSHWSH" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="67" width="1" RecSegNo="1"/>
      <labl>
        Has a dishwasher
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2222952
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1197
      </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">
          12030
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2164464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          283
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58488
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1197
        </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="V3479" name="COND" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Has an air conditioner
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12315
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223331
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        818
      </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">
          11210
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2000072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          223259
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          818
        </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="V3480" name="FAN" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        Has an electric fan
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223339
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        810
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to an electric fan
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          8072
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1479799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          4242
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          743540
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          810
        </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 fan]]>
      </notes>
    </var>
    <var ID="V3481" name="SEWING" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Has a sewing machine
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2222936
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1213
      </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">
          11265
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2008962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          1048
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213974
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1213
        </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="V3482" name="IRON" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="71" width="1" RecSegNo="1"/>
      <labl>
        Has an iron
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12315
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223504
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        645
      </sumStat>
      <txt>
        Indicates if the household owns or has free access to an iron
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          7121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1196459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          5194
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1027045
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          645
        </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 iron]]>
      </notes>
    </var>
    <var ID="V3483" name="ODUR" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Has other durables
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12308
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2222176
      </sumStat>
      <sumStat type="invd">
        10
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1973
      </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">
          8236
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1407604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Own one or many
        </labl>
        <catStat type="freq">
          4072
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          814572
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1973
        </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 : Hair dryer]]>
      </notes>
    </var>
    <var ID="V3484" name="AGEHD" wgt-var="V3441" files="F20" dcml="0" intrvl="contin">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="18" max="98"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        12313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223301
      </sumStat>
      <sumStat type="invd">
        5
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        848
      </sumStat>
      <sumStat type="min">
        18
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        53.139
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        53.071
      </sumStat>
      <sumStat type="stdev">
        14.506
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        14.422
      </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
----------------------------------
According to the provided methodology:

98 indicates those aged 98 years or older .
99 indicates that the respondent doesn't know his/her age and the interviewer is unable to estimate the age. 
Therefore, the 18 cases coded "99" were recoded "missing".]]>
      </notes>
    </var>
    <var ID="V3485" name="AGESP" wgt-var="V3441" files="F20" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        Age of the spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="17" max="92"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        9691
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1756163
      </sumStat>
      <sumStat type="invd">
        2627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        467986
      </sumStat>
      <sumStat type="min">
        17
      </sumStat>
      <sumStat type="max">
        92
      </sumStat>
      <sumStat type="mean">
        45.131
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        45.069
      </sumStat>
      <sumStat type="stdev">
        12.657
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        12.592
      </sumStat>
      <txt>
        Age in years of the 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
----------------------------------
According to the provided methodology:

98 indicates those aged 98 years or older .
99 indicates that the respondent doesn't know his/her age and the interviewer is unable to estimate the age. 
Therefore, the 18 cases coded "99" were recoded "missing".]]>
      </notes>
    </var>
    <var ID="V3486" name="SEXHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="77" width="1" RecSegNo="1"/>
      <labl>
        Gender of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Gender of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          10189
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1845655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          2128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          378262
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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="V3487" name="SEXSP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="78" width="1" RecSegNo="1"/>
      <labl>
        Gender of the spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        9691
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1756163
      </sumStat>
      <sumStat type="invd">
        2627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        467986
      </sumStat>
      <txt>
        Gender of the 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">
          9691
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1756163
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467986
        </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="V3488" name="MARTHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        <![CDATA[All heads aged  18+ years]]>
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          286
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          10214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1840652
        </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">
          215
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          1602
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          291033
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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.

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
----------------------------------
Multiple spouse is forbidden in Tunisia by law as a result the category "Married polygamous" is never identified]]>
      </notes>
    </var>
    <var ID="V3489" name="MARTHD_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="83" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 18 + years
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Legal administrative status concerning marriage
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          286
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          10214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1840652
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          215
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          1602
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          291033
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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
----------------------------------
Multiple spouse is forbidden in Tunisia by law as a result the category "Married polygamous" is never identified]]>
      </notes>
    </var>
    <var ID="V3490" name="PARTHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Partnership and parenthood status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </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">
          1022
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          185138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Head with partner, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          6963
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1244567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Head with partner, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          2229
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          410947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Single Head, with no children
        </labl>
        <catStat type="freq">
          845
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          154286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Single Head, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          308
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Single Head, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          950
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          174692
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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 a married head.]]>
      </notes>
    </var>
    <var ID="V3491" name="LITHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="85" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All heads aged 3+ years
      </universe>
      <sumStat type="vald">
        11048
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1994877
      </sumStat>
      <sumStat type="invd">
        1270
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        229272
      </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">
          3546
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          596033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          7502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1398844
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1270
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          229272
        </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="V3492" name="LITSP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="86" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 3+ years
      </universe>
      <sumStat type="vald">
        8587
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1558866
      </sumStat>
      <sumStat type="invd">
        3731
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        665283
      </sumStat>
      <txt>
        This variable indicates whether the spouse is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          3538
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          586227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          5049
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          972639
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3731
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          665283
        </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="V3493" name="EDUHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="88" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 3+ years
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Highest level of education attained by the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          8845
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1557569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          379
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1119
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          211654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          396
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1274
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          229356
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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
----------------------------------
Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.]]>
      </notes>
    </var>
    <var ID="V3494" name="EDUSP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="90" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 3+ years
      </universe>
      <sumStat type="vald">
        9691
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1756163
      </sumStat>
      <sumStat type="invd">
        2627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        467986
      </sumStat>
      <txt>
        Highest level of education attained by the spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          7203
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1266854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          222
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          774
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          160158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1104
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          197297
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467986
        </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
----------------------------------
Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.]]>
      </notes>
    </var>
    <var ID="V3495" name="EDUHD_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="93" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 3+ years
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          5166
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          939669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          3546
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          596033
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3912
        </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">
          109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Preparatory stage for elementary education
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          139
        </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">
          301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          74
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          423
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          696
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          396
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86170
        </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">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1274
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          229356
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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
----------------------------------

Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those who are currently attending a professional secondary level were assumed to have completed a "professional below secondary" education.
Similarly, those who are currently attending a post professional secondary level were assumed to have completed a "professional secondary" education.

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.

Those who did not complete any education level in v_223 however reported to have succeeded to complete a certain number of education years were assumed to be able to read and write.]]>
      </notes>
    </var>
    <var ID="V3496" name="EDUSP_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="96" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 3+ years
      </universe>
      <sumStat type="vald">
        9691
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1756163
      </sumStat>
      <sumStat type="invd">
        2627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        467986
      </sumStat>
      <txt>
        Highest level of education attained by the spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          3634
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          675030
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          3538
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          586227
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4560
        </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">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Preparatory stage for elementary education
        </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">
          169
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34660
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          278
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          57541
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          496
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50634
        </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">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1104
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          197297
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467986
        </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
----------------------------------

Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those who are currently attending a professional secondary level were assumed to have completed a "professional below secondary" education.
Similarly, those who are currently attending a post professional secondary level were assumed to have completed a "professional secondary" education.

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.

Those who did not complete any education level in v_223 however reported to have succeeded to complete a certain number of education years were assumed to be able to read and write.]]>
      </notes>
    </var>
    <var ID="V3497" name="MASHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        12316
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223773
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        376
      </sumStat>
      <txt>
        Main activity status of the head during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          8124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1460066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          288
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          911
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          2858
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          531363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          101
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1148
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          376
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3498" name="MASSP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        9691
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1756163
      </sumStat>
      <sumStat type="invd">
        2627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        467986
      </sumStat>
      <txt>
        Main activity status of the spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          2271
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          445218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          77
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          6832
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1204814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          465
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1013
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467986
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3499" name="MASHD_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="103" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 15+ years
      </universe>
      <sumStat type="vald">
        12316
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223773
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        376
      </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">
          7768
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1393411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          324
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61820
        </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">
          275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4560
        </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">
          270
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3371
        </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">
          911
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158003
        </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">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5915
        </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">
          1611
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          312537
        </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">
          1247
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          218826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9823
        </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">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6151
        </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">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1800
        </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">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1148
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          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
----------------------------------
For 7 out of 11 members reported to be currently unemployed due to being in military services, all related employment characteristics are available. For those 7 cases, the harmonized employment related variables were generated.]]>
      </notes>
    </var>
    <var ID="V3500" name="MASSP_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="106" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        9691
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1756163
      </sumStat>
      <sumStat type="invd">
        2627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        467986
      </sumStat>
      <txt>
        Main activity status of the 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">
          2137
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          418126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          134
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27092
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5585
        </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">
          6832
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1204814
        </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">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2880
        </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">
          62
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15660
        </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">
          403
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1867
        </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          390
        </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">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3150
        </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">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1013
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          467986
        </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
----------------------------------
For 7 out of 11 members reported to be currently unemployed due to being in military services, all related employment characteristics are available. For those 7 cases, the harmonized employment related variables were generated.]]>
      </notes>
    </var>
    <var ID="V3501" name="EMSHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="108" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        8394
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1506199
      </sumStat>
      <sumStat type="invd">
        3924
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        717950
      </sumStat>
      <txt>
        Detailed description of the employment status of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          5333
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          974721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          803
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          154664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          2208
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          367806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4498
        </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">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2826
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          717950
        </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="V3502" name="EMSSP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="110" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        453573
      </sumStat>
      <sumStat type="invd">
        10004
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1770576
      </sumStat>
      <txt>
        Detailed description of the employment status of the spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          1329
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          269944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          421
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          472
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86084
        </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">
          520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1168
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770576
        </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="V3503" name="OCCHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="113" 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 min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        8394
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1506199
      </sumStat>
      <sumStat type="invd">
        3924
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        717950
      </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">
          862
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          172577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          397
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          524
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          330
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          649
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          123801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1691
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          268362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          1186
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          218002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          828
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          1904
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          327138
        </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">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2335
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          717950
        </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
----------------------------------
The code "0" has no label either in the provided questionnaire or in the data files. 
As a result it was recoded in other/unspecified]]>
      </notes>
    </var>
    <var ID="V3504" name="OCCSP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="114" EndPos="116" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        453573
      </sumStat>
      <sumStat type="invd">
        10004
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1770576
      </sumStat>
      <txt>
        <![CDATA[International Standard Occupational classification of the main (current or last held) job of the 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">
          115
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          174
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          326
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          179
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          118
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          677
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          73122
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1341
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770576
        </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
----------------------------------
The code "0" has no label either in the provided questionnaire or in the data files. 
As a result it was recoded in other/unspecified]]>
      </notes>
    </var>
    <var ID="V3505" name="OCCHD_unrecoded" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="120" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the head [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        8394
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1506199
      </sumStat>
      <sumStat type="invd">
        3924
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        717950
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the head, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          unspecified
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Managers
        </labl>
        <catStat type="freq">
          862
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          172577
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          High Professionals
        </labl>
        <catStat type="freq">
          397
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and middle level professionals
        </labl>
        <catStat type="freq">
          524
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerk
        </labl>
        <catStat type="freq">
          330
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and sales men
        </labl>
        <catStat type="freq">
          649
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          123801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Experienced agricultural workers
        </labl>
        <catStat type="freq">
          1691
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          268362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft workers
        </labl>
        <catStat type="freq">
          1186
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          218002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Machine operators
        </labl>
        <catStat type="freq">
          828
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unqualified workers
        </labl>
        <catStat type="freq">
          1904
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          327138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2335
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          717950
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3506" name="OCCSP_unrecoded" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="124" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        453573
      </sumStat>
      <sumStat type="invd">
        10004
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1770576
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          unspecified
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Managers
        </labl>
        <catStat type="freq">
          115
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          High Professionals
        </labl>
        <catStat type="freq">
          174
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and middle level professionals
        </labl>
        <catStat type="freq">
          326
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63950
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerk
        </labl>
        <catStat type="freq">
          179
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37410
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and sales men
        </labl>
        <catStat type="freq">
          118
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Experienced agricultural workers
        </labl>
        <catStat type="freq">
          677
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft workers
        </labl>
        <catStat type="freq">
          175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Machine operators
        </labl>
        <catStat type="freq">
          163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unqualified workers
        </labl>
        <catStat type="freq">
          378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          73122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1341
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770576
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3507" name="INDHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="125" EndPos="127" 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 min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        8394
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1506199
      </sumStat>
      <sumStat type="invd">
        3924
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        717950
      </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">
          2114
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          337478
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          894
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          181856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1213
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          208000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          1409
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          271174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          608
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          112857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44050
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          774
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          136712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          958
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          174447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6780
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          717950
        </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.

Some unidentified codes in ISIC Rev.3, representing 0.1% of the total sample size, were recoded unspecified.

Hotels and restaurants are included in commerce.

Education, health and social work are included in other services]]>
      </notes>
    </var>
    <var ID="V3508" name="INDSP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="130" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        453573
      </sumStat>
      <sumStat type="invd">
        10004
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1770576
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the spouse, with as much detail as possible
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          848
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          153724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          445
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89532
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          189
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5340
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          126
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          589
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3179
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770576
        </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.

Some unidentified codes in ISIC Rev.3, representing 0.1% of the total sample size, were recoded unspecified.

Hotels and restaurants are included in commerce.

Education, health and social work are included in other services]]>
      </notes>
    </var>
    <var ID="V3509" name="INDHD_ISIC3_2" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="134" 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 min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        8394
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1506199
      </sumStat>
      <sumStat type="invd">
        3924
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        717950
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the head, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          1958
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          309690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          74
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          466
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          151
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13235
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19913
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16531
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1213
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          208000
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35694
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          831
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155501
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55820
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          461
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1768
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1063
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          774
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          136712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          474
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          189
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          74
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8904
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          54
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1580
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6780
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          717950
        </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.]]>
      </notes>
    </var>
    <var ID="V3510" name="INDSP_ISIC3_2" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="138" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the spouse [ISIC Rev. 3- 2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        453573
      </sumStat>
      <sumStat type="invd">
        10004
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1770576
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the spouse, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          832
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          151392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          267
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </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>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          690
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          137
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          187
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1514
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          126
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25177
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          319
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          65516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          141
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1502
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          64
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3179
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770576
        </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.]]>
      </notes>
    </var>
    <var ID="V3511" name="TYPEWKHD" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="140" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        8394
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1506199
      </sumStat>
      <sumStat type="invd">
        3924
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        717950
      </sumStat>
      <txt>
        <![CDATA[Sector of employment  of the head]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          1823
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          325970
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          302
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          6041
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1078800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          134
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27275
        </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">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7088
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          717950
        </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3512" name="TYPEWKSP" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="142" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        453573
      </sumStat>
      <sumStat type="invd">
        10004
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1770576
      </sumStat>
      <txt>
        Sector of employment of the spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          570
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          114543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1543
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          297378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28828
        </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">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2883
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770576
        </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3513" name="TYPEWKHD_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="145" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 15+ years
      </universe>
      <sumStat type="vald">
        8394
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1506199
      </sumStat>
      <sumStat type="invd">
        3924
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        717950
      </sumStat>
      <txt>
        Sector of employment of the head
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          1823
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          325970
        </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">
          302
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58311
        </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">
          3844
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          639114
        </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">
          2197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          439686
        </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">
          134
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27275
        </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">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8755
        </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">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7088
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          717950
        </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3514" name="TYPEWKSP_D" wgt-var="V3441" files="F20" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="148" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 15+ years
      </universe>
      <sumStat type="vald">
        2314
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        453573
      </sumStat>
      <sumStat type="invd">
        10004
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1770576
      </sumStat>
      <txt>
        Sector of employment of the spouse
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          570
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          114543
        </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">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7914
        </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">
          1027
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          188494
        </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">
          516
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          108884
        </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">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28828
        </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">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2027
        </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">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2883
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1770576
        </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3515" name="FOODEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="149" EndPos="157" width="9" 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="45.11" max="129179.064"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12315
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223652
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        497
      </sumStat>
      <sumStat type="min">
        45.11
      </sumStat>
      <sumStat type="max">
        129179.064
      </sumStat>
      <sumStat type="mean">
        2768.846
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2862.419
      </sumStat>
      <sumStat type="stdev">
        2627.818
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2582.356
      </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
----------------------------------
Amounts of expenditure are provided in an aggregated form in Millime.

All "per capita" amounts were multiplied by the number of household members to compute amounts per household.

Amounts were divided by 1000 to convert it to dinar. 

Some detailed household expenditures provided by item, source and in some cases occasion of expenditure were summated and compared to the aggregated amounts and found acceptably similar, hence the aggregates originally provided from the statistical office were used in the harmonized data file.

Aggregates under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V3516" name="RICE" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="158" EndPos="161" width="4" RecSegNo="1"/>
      <labl>
        Rice 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenditures on rice in all forms
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3517" name="GRAIN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="162" EndPos="165" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Wheat, Maize, Barely and all cereals in the grain or flour form
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3518" name="BREAD" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="166" EndPos="169" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Bread in all forms, biscuits, cakes pizza..
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3519" name="PAST" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="170" EndPos="173" width="4" RecSegNo="1"/>
      <labl>
        Pasta 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Macaroni, Noodles, Couscous ..
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3520" name="CERPRE" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="174" EndPos="177" width="4" RecSegNo="1"/>
      <labl>
        Cereal preparation 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Cornflakes, malt, tapioca..
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3521" name="CEREXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="178" EndPos="181" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on purchased Bread and Cereals
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3522" name="CEROWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="182" EndPos="185" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Bread and Cereals
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3523" name="SMEAT" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="186" EndPos="189" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh frozen and tinned goats and sheep meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3524" name="CMEAT" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="190" EndPos="193" width="4" RecSegNo="1"/>
      <labl>
        Cow meat 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh frozen and tinned cow meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3525" name="OMEAT" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="194" EndPos="197" width="4" RecSegNo="1"/>
      <labl>
        Other meat 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh frozen and tinned camel, rabbit, pork etc. meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3526" name="CHMEAT" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="198" EndPos="201" width="4" RecSegNo="1"/>
      <labl>
        Chicken meat 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh frozen and tinned chicken, turkey, birds etc. meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3527" name="LMEAT" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="202" EndPos="205" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh and frozen luncheon, tinned and others meat
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3528" name="MEATEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="206" EndPos="209" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on purchased Meat and Poultry
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3529" name="MEATOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="210" EndPos="213" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Meat and Poultry
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3530" name="FISH" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="214" EndPos="217" width="4" RecSegNo="1"/>
      <labl>
        Fish 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3531" name="SEAF" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="218" EndPos="221" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh, frozen and proceed seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3532" name="FSHSEAEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="222" EndPos="225" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on purchased Fish and Seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3533" name="FSHSEAOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="226" EndPos="229" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Fish and Seafood
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3534" name="MILK" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="230" EndPos="233" width="4" RecSegNo="1"/>
      <labl>
        Milk 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh, powder, condensed and infant powder milk expenses
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3535" name="YOGH" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="234" EndPos="237" width="4" RecSegNo="1"/>
      <labl>
        Yogurt 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3536" name="CHES" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="238" EndPos="241" width="4" RecSegNo="1"/>
      <labl>
        Cheese 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Processed, home made, tinned etc. cheese
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3537" name="EGG" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="242" EndPos="245" width="4" RecSegNo="1"/>
      <labl>
        Eggs 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Eggs and wholly made egg products
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3538" name="DAIRYEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="246" EndPos="249" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on purchased Dairy Products
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3539" name="DAIRYOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="250" EndPos="253" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Dairy Products
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3540" name="OOIL" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="254" EndPos="257" width="4" RecSegNo="1"/>
      <labl>
        Olive oil 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Olive oil
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3541" name="OIL" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="258" EndPos="261" width="4" RecSegNo="1"/>
      <labl>
        Other oils 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Corn, sunflower, soya etc
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3542" name="BUT" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="262" EndPos="265" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Butter, margarine, ghee, ...
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3543" name="FAT" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="266" EndPos="269" width="4" RecSegNo="1"/>
      <labl>
        Fat expenses
      </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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Animal and vegetable fats and other edible
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3544" name="OILFATEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="270" EndPos="273" width="4" RecSegNo="1"/>
      <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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on purchased Oil &amp; Fats
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3545" name="OILFATOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="274" EndPos="277" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Oil &amp; Fats
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3546" name="FRUITEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="278" EndPos="281" width="4" RecSegNo="1"/>
      <labl>
        Fruits expenses
      </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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh, chilled, frozen, and tinned fruits, nuts
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3547" name="FRUITOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="282" EndPos="285" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Fruits
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3548" name="VEGEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="286" EndPos="289" width="4" RecSegNo="1"/>
      <labl>
        Vegetables expenses
      </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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Fresh, chilled, frozen, and tinned vegetables, garlic, processed and tuber vegetables like chips..
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3549" name="VEGOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="290" EndPos="293" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Vegetables
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3550" name="SUGAREXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="294" EndPos="297" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Sugar, Halawa, Chocolate, Honey, Jam, Bonbon, etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3551" name="SUGAROWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="298" EndPos="301" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Sugar and Jam
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3552" name="SPICEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="302" EndPos="305" width="4" RecSegNo="1"/>
      <labl>
        Spices 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Salt, black pepper, sauces, seasonings, vanilla etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3553" name="SPICOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="306" EndPos="309" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on Own-Produced Spices
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3554" name="BEVEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="310" EndPos="313" width="4" RecSegNo="1"/>
      <labl>
        Beverages expenditure
      </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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Coffee, tea, water fruit end vegetable juices
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3555" name="BEVOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="314" EndPos="317" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on own-Produced Beverages
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3556" name="OTHFEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="318" EndPos="321" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Includes all other purchased food items non-specified in the questionnaire
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3557" name="OTHFOWN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="322" EndPos="325" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Includes all other own produced food items non-specified in the questionnaire
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3558" name="TOTPFOOD" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="326" EndPos="334" width="9" 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="45.11" max="129179.064"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12315
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223652
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        497
      </sumStat>
      <sumStat type="min">
        45.11
      </sumStat>
      <sumStat type="max">
        129179.064
      </sumStat>
      <sumStat type="mean">
        2768.846
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2862.419
      </sumStat>
      <sumStat type="stdev">
        2627.818
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2582.356
      </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="V3559" name="TOTOWNP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="335" EndPos="338" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Food and beverage own produced products, consumed or given away
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3560" name="TOTGIKD" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="339" EndPos="342" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Food and beverage products received from other households
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3561" name="ALCOEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="343" EndPos="346" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on alcoholic beverages, tobacco, and narcotics. Ideally, corresponds to Code 02 of the COICOP classification (SUM of 02).
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3562" name="ALC" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="347" EndPos="350" width="4" RecSegNo="1"/>
      <labl>
        Alcoholic 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on alcoholic beverages, spirits, wine, beer..
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3563" name="TOB" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="351" EndPos="354" width="4" RecSegNo="1"/>
      <labl>
        Tobacco 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on tobacco, cigarettes, etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3564" name="APPEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="355" EndPos="362" width="8" 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="0.5" max="68062.952"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        11265
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2038835
      </sumStat>
      <sumStat type="invd">
        1053
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        185314
      </sumStat>
      <sumStat type="min">
        0.5
      </sumStat>
      <sumStat type="max">
        68062.952
      </sumStat>
      <sumStat type="mean">
        738.455
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        787.646
      </sumStat>
      <sumStat type="stdev">
        1283.937
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1369.551
      </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="V3565" name="CLOTH" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="363" EndPos="366" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Garments, dresses, shirts, blouse, capes, coats for men, women and children. Excluding school clothes and uniforms
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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 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="V3566" name="MCLO" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="367" EndPos="370" width="4" RecSegNo="1"/>
      <labl>
        Clothing material 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Clothing material of all kind of fibers, tailoring and accessories
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3567" name="CHAR" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="371" EndPos="374" width="4" RecSegNo="1"/>
      <labl>
        Tailoring charges 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        All tailoring, cleaning, repairing charges of clothes
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3568" name="FOOTW" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="375" EndPos="378" width="4" RecSegNo="1"/>
      <labl>
        Footwear 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Shoes, sandals, boots and slipper for men and women, excluding those for school
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3569" name="SCHCLTH" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="379" EndPos="382" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        School Clothes, Uniforms and Footwear expenditures
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3570" name="HOUSEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="383" EndPos="391" 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="38" max="302955.348"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12317
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223917
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <sumStat type="min">
        38
      </sumStat>
      <sumStat type="max">
        302955.348
      </sumStat>
      <sumStat type="mean">
        1707.757
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1868.856
      </sumStat>
      <sumStat type="stdev">
        4044.992
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4805.244
      </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
----------------------------------
The total housing and utilities expenditure computed from the housing data file does not match the amount provided by the statistical agency in the expenditure data file.
Therefore, only the actual rent was derived from the housing file and for the rest of the items, the aggregate provided was used.]]>
      </notes>
    </var>
    <var ID="V3571" name="ARHOUS" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="392" EndPos="399" width="8" 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="12" max="10200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1022
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        207867
      </sumStat>
      <sumStat type="invd">
        11296
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2016282
      </sumStat>
      <sumStat type="min">
        12
      </sumStat>
      <sumStat type="max">
        10200
      </sumStat>
      <sumStat type="mean">
        1493.653
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1614.486
      </sumStat>
      <sumStat type="stdev">
        1099.224
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1187.672
      </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
----------------------------------
The actual rent was computed from the corresponding variable in the housing data file.]]>
      </notes>
    </var>
    <var ID="V3572" name="IMPREN" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="400" EndPos="403" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Imputed rentals of owners occupying their main residence and other imputed rentals
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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
----------------------------------
The value of the imputed rent is not provided, therefore the variable could not be generated.]]>
      </notes>
    </var>
    <var ID="V3573" name="REPDW" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="404" EndPos="407" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Materials and services for the maintenance and repair of the dwelling
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3574" name="WDWE" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="408" EndPos="411" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Water supply, refuse collection, sewage collection and others
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3575" name="EDWE" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="412" EndPos="415" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Electricity, Gas, Liquid and solid fuels, Heat energy
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3576" name="EQUIPEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="416" EndPos="419" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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
----------------------------------
Expenditure on furniture & housing equipment is not provided in the raw data]]>
      </notes>
    </var>
    <var ID="V3577" name="HSFUR" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="420" EndPos="423" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Furniture and furnishings, carpets and other floor coverings
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3578" name="FURREP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="424" EndPos="427" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Furniture and furnishings repair
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3579" name="HSTEX" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="428" EndPos="431" width="4" RecSegNo="1"/>
      <labl>
        Household textiles 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Furnishing fabrics, bedding, bed linen table linen and bathroom linen and repair of such articles.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3580" name="MHAPL" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="432" EndPos="435" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Major household appliances whether electric or not
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3581" name="SHAPL" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="436" EndPos="439" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Small electric appliances
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3582" name="RAPPL" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="440" EndPos="443" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Repair of appliances expenditures
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3583" name="HUST" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="444" EndPos="447" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Glassware, crystal and ceramic ware, non-electric kitchen utensils etc. and their repair
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3584" name="MHOPE" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="448" EndPos="451" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Major tools and equipment for house and garden,
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3585" name="SHOPE" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="452" EndPos="455" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Small tools and miscellaneous accessories
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3586" name="HSGS" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="456" EndPos="459" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Non-durable household goods and domestic services
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3587" name="MEDEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="460" EndPos="467" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12275
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2217132
      </sumStat>
      <sumStat type="invd">
        43
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7017
      </sumStat>
      <sumStat type="min">
        0.006
      </sumStat>
      <sumStat type="max">
        56203.7
      </sumStat>
      <sumStat type="mean">
        787.632
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        848.745
      </sumStat>
      <sumStat type="stdev">
        1194.565
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1236.777
      </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
----------------------------------
Includes expenditure on health, hygiene and personal care]]>
      </notes>
    </var>
    <var ID="V3588" name="PMEDP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="468" EndPos="471" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Medicinal preparations, drugs, vaccines, vitamins etc. and clinical thermometers, adhesive etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3589" name="TAEQ" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="472" EndPos="475" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3590" name="MEDSERV" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="476" EndPos="479" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3591" name="MEDABR" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="480" EndPos="483" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Includes all expenses on trips for medical/therapy purposes other than those spent on transportation or accommodation
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3592" name="TRANEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="484" EndPos="491" 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="0.04" max="82290"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        9028
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1654049
      </sumStat>
      <sumStat type="invd">
        3290
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        570100
      </sumStat>
      <sumStat type="min">
        0.04
      </sumStat>
      <sumStat type="max">
        82290
      </sumStat>
      <sumStat type="mean">
        1073.501
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1180.348
      </sumStat>
      <sumStat type="stdev">
        2523.095
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2697.404
      </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="V3593" name="TRVEH" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="492" EndPos="495" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Purchase of car, bicycles and animal trucked vehicles
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3594" name="OTEQ" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="496" EndPos="499" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3595" name="TRSERV" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="500" EndPos="503" width="4" RecSegNo="1"/>
      <labl>
        Transportation services 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Transportation by railway, road, air, sea and any other than school transport services
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3596" name="SCHSERV" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="504" EndPos="507" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        School Transportation services expenditures
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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, 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="V3597" name="COMMEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="508" EndPos="514" 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="0.498" max="9362.976"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        9785
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1803859
      </sumStat>
      <sumStat type="invd">
        2533
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        420290
      </sumStat>
      <sumStat type="min">
        0.498
      </sumStat>
      <sumStat type="max">
        9362.976
      </sumStat>
      <sumStat type="mean">
        355.092
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        374.407
      </sumStat>
      <sumStat type="stdev">
        383.256
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        405.74
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3598" name="PTTSERV" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="515" EndPos="518" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Installation and subscription costs of personal telephone equipment; telephone calls etc. delivery of letters etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3599" name="TTEQP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="519" EndPos="522" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Purchases of telephones, telefax machines, etc. and their repair
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3600" name="CULTEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="523" EndPos="530" width="8" 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="0.1" max="23433.4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        10217
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1849477
      </sumStat>
      <sumStat type="invd">
        2101
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        374672
      </sumStat>
      <sumStat type="min">
        0.1
      </sumStat>
      <sumStat type="max">
        23433.4
      </sumStat>
      <sumStat type="mean">
        509.058
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        553.099
      </sumStat>
      <sumStat type="stdev">
        790.24
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        864.711
      </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="V3601" name="CULDUR" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="531" EndPos="534" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Audio-visual, photographic and information processing equipment, Camper vans, boats, horse and pony etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3602" name="CULEQP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="535" EndPos="538" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Games, toys and hobbies , Equipment for sport, camping and open-air recreation etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3603" name="CULSER" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="539" EndPos="542" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        cinemas, theatres, opera houses games, Newspapers, books and stationery, etc. holidays or tours which provide for travel, food, accommodation, guides
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3604" name="SCHCUL" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="543" EndPos="546" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        School books and stationery, etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3605" name="EDUCEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="547" EndPos="554" 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="0.6" max="11937.144"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        7694
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1383991
      </sumStat>
      <sumStat type="invd">
        4624
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        840158
      </sumStat>
      <sumStat type="min">
        0.6
      </sumStat>
      <sumStat type="max">
        11937.144
      </sumStat>
      <sumStat type="mean">
        333.405
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        363.693
      </sumStat>
      <sumStat type="stdev">
        450.059
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        508.628
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3606" name="PREDUC" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="555" EndPos="558" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Includes also expenses on literacy programs for students too old for primary school, including private tutoring and tutoring groups
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3607" name="SEDUC" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="559" EndPos="562" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3608" name="TEDUC" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="563" EndPos="566" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on first and second stage of tertiary education, including private tutoring and tutoring groups
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3609" name="OEDUC" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="567" EndPos="570" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Educational programs, generally for adults, which do not require any special prior instruction, in particular vocational training and cultural development.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3610" name="EDUCABR" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="571" EndPos="574" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Includes all expenses on trips for education purposes other than those spent on transportation or accommodation
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3611" name="RESTOEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="575" EndPos="578" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on restaurants (catering services) and hotels (accommodation services). Ideally, corresponds to Code 11 of the COICOP classification.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3612" name="CATSER" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="579" EndPos="582" width="4" RecSegNo="1"/>
      <labl>
        Catering services 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3613" name="SCHRST" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="583" EndPos="586" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Meals, snacks, and drinks provided in school restaurants
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3614" name="ACCOM" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="587" EndPos="590" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3615" name="MISCEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="591" EndPos="598" width="8" 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="0.0650000000000546" max="56378.74"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        11792
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2124209
      </sumStat>
      <sumStat type="invd">
        526
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        99940
      </sumStat>
      <sumStat type="min">
        0.005
      </sumStat>
      <sumStat type="max">
        7201.33
      </sumStat>
      <sumStat type="mean">
        48.183
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        46.805
      </sumStat>
      <sumStat type="stdev">
        244.461
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        246.638
      </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 expenses" added to miscellaneous expenditure represent the difference between the total expenditure amounts provided by the statistical agency and the summation of amounts of different aggregates by type of expenditure.]]>
      </notes>
    </var>
    <var ID="V3616" name="PCEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="599" EndPos="606" width="8" 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 min="0.006" max="56203.7"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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="V3617" name="SPEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="607" EndPos="610" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3618" name="FEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="611" EndPos="614" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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="V3619" name="FEES" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="615" EndPos="618" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3620" name="PTRANSF" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="619" EndPos="622" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </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">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3621" name="TOTFOOD" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="623" EndPos="631" width="9" 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="45.11" max="129179.064"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12315
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2223652
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        497
      </sumStat>
      <sumStat type="min">
        45.11
      </sumStat>
      <sumStat type="max">
        129179.064
      </sumStat>
      <sumStat type="mean">
        2768.846
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2862.419
      </sumStat>
      <sumStat type="stdev">
        2627.818
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2582.356
      </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
----------------------------------
Amounts of expenditure are provided in an aggregated form in Millime.

All "per capita" amounts were multiplied by the number of household members to compute amounts per household.

Amounts were divided by 1000 to convert it to dinar. 

Some detailed household expenditures provided by item, source and in some cases occasion of expenditure were summated and compared to the aggregated amounts and found acceptably similar, hence the aggregates originally provided from the statistical office were used in the harmonized data file.

Aggregates under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V3622" name="TNFOOND" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="632" EndPos="640" width="9" 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="22" max="319110.036"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        22
      </sumStat>
      <sumStat type="max">
        319110.036
      </sumStat>
      <sumStat type="mean">
        4789.364
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        5198.251
      </sumStat>
      <sumStat type="stdev">
        6295.427
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7101.632
      </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
----------------------------------
Amounts of expenditure are provided in an aggregated form in Millime.

All "per capita" amounts were multiplied by the number of household members to compute amounts per household.

Amounts were divided by 1000 to convert it to dinar. 

Some detailed household expenditures provided by item, source and in some cases occasion of expenditure were summated and compared to the aggregated amounts and found acceptably similar, hence the aggregates originally provided from the statistical office were used in the harmonized data file.

Aggregates under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V3623" name="TDUR" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="641" EndPos="644" width="4" 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>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Total expenses on durables
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <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
----------------------------------
The total amount spent on durables could not be computed since the aggregates provided from the statistical agency do not allow for it.]]>
      </notes>
    </var>
    <var ID="V3624" name="THOUS" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="645" EndPos="652" width="8" 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="12" max="10200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1022
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        207867
      </sumStat>
      <sumStat type="invd">
        11296
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2016282
      </sumStat>
      <sumStat type="min">
        12
      </sumStat>
      <sumStat type="max">
        10200
      </sumStat>
      <sumStat type="mean">
        1493.653
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1614.486
      </sumStat>
      <sumStat type="stdev">
        1099.224
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1187.672
      </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
----------------------------------
This variable includes only amounts spent on actual rent and could be derived from the housing data file, while the imputed rent amounts are not available.]]>
      </notes>
    </var>
    <var ID="V3625" name="TOTEXP" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="653" EndPos="661" 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="126" max="326502"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2224149
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        126
      </sumStat>
      <sumStat type="max">
        326502
      </sumStat>
      <sumStat type="mean">
        7681.46
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        8210.919
      </sumStat>
      <sumStat type="stdev">
        7651.069
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        8415.26
      </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
----------------------------------
Amounts of expenditure are provided in an aggregated form in Millime.

All "per capita" amounts were multiplied by the number of household members to compute amounts per household.

Amounts were divided by 1000 to convert it to dinar. 

Some detailed household expenditures provided by item, source and in some cases occasion of expenditure were summated and compared to the aggregated amounts and found acceptably similar, hence the aggregates originally provided from the statistical office were used in the harmonized data file.

Aggregates under each expenditure type are identified in the "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V3626" name="LUMP" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="662" EndPos="665" width="4" RecSegNo="1"/>
      <labl>
        Lumpy expenses
      </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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Expenses on marriage, dowries, mahr, funeral, birth etc lump sum divorce (excluding alimony) payment and any other occasional expenses
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3627" name="INTER" wgt-var="V3441" files="F20" dcml="2" intrvl="discrete">
      <location StartPos="666" EndPos="669" 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">
        12318
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2224149
      </sumStat>
      <txt>
        Interest paid on loans for the purchase of consumption or durable goods
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </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="V3628" name="TAX" wgt-var="V3441" files="F20" dcml="2" intrvl="contin">
      <location StartPos="670" EndPos="675" width="6" 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>
      <valrng>
        <range UNITS="REAL" min="0.027" max="800"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        4011
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        769983
      </sumStat>
      <sumStat type="invd">
        8307
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1454166
      </sumStat>
      <sumStat type="min">
        0.027
      </sumStat>
      <sumStat type="max">
        800
      </sumStat>
      <sumStat type="mean">
        50.45
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        53.874
      </sumStat>
      <sumStat type="stdev">
        58.365
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        62.29
      </sumStat>
      <txt>
        Taxes on consumption and durable goods, property taxes etc.
      </txt>
      <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
----------------------------------
Tax amount was derived from the housing data file by summating the total annual property taxes paid for owned or rented dwellings.]]>
      </notes>
    </var>
    <var ID="V3629" name="COUNTRY" files="F21" 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">
        56947
      </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">
          0
        </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">
          56947
        </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="V3630" name="YEAR" files="F21" 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="2005" max="2005"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        56947
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2005
        </catValu>
        <catStat type="freq">
          56947
        </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="V3631" name="CASESER" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="12" width="5" RecSegNo="1"/>
      <labl>
        Unique unit identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="12318"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        56947
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3632" name="HWEIGHT" wgt="wgt" files="F21" dcml="4" intrvl="contin">
      <location StartPos="13" EndPos="21" width="9" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="27" max="1275"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        56944
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat type="min">
        27
      </sumStat>
      <sumStat type="max">
        1275
      </sumStat>
      <sumStat type="mean">
        176.167
      </sumStat>
      <sumStat type="stdev">
        69.306
      </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="V3633" name="REG" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="7"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        56944
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031645
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Grand Tunis
        </labl>
        <catStat type="freq">
          10702
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2284570
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          North East
        </labl>
        <catStat type="freq">
          7386
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1398196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          North West
        </labl>
        <catStat type="freq">
          7170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1213293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Centre East
        </labl>
        <catStat type="freq">
          10607
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2277312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Centre West
        </labl>
        <catStat type="freq">
          8466
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1362218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          South East
        </labl>
        <catStat type="freq">
          6366
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          927321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South West
        </labl>
        <catStat type="freq">
          6247
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          568735
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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="V3634" name="AREA" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Area
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        56944
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031645
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Large cities
        </labl>
        <catStat type="freq">
          13566
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3086332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Medium and small cities
        </labl>
        <catStat type="freq">
          19984
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3458482
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Rural areas
        </labl>
        <catStat type="freq">
          23394
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3486831
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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="V3635" name="RURURB" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="24" EndPos="24" 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">
        56944
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031645
      </sumStat>
      <sumStat type="invd">
        3
      </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">
          23394
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3486831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          33550
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6544814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </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="V3636" name="PNUM" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        Person identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="25"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        56947
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031645
      </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">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          11704
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2112849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          10392
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1870740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          8713
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1550422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          6220
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1078559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          3687
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          610431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1945
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          989
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          146700
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          473
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          237
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33531
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          62
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62
        </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="V3637" name="PAGE" wgt-var="V3632" files="F21" dcml="0" intrvl="contin">
      <location StartPos="27" EndPos="28" 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">
        56922
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10027821
      </sumStat>
      <sumStat type="invd">
        25
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3824
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        30.571
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        30.838
      </sumStat>
      <sumStat type="stdev">
        20.981
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        20.967
      </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
----------------------------------
According to the provided methodology:

98 indicates those aged 98 years or older .
99 indicates that the respondent doesn’t know his/her age and the interviewer is unable to estimate the age. 
Therefore, the 18 cases coded "99" were recoded "missing".]]>
      </notes>
    </var>
    <var ID="V3638" name="PSEX" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="29" EndPos="29" 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">
        56946
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031413
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        232
      </sumStat>
      <txt>
        Indicator for gender of individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          27273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4830512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          29673
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5200901
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232
        </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="V3639" name="PMART" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="30" EndPos="31" 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
      </universe>
      <sumStat type="vald">
        56945
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031282
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        363
      </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">
          32326
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5613139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          21752
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3908606
        </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">
          451
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2416
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          427481
        </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          363
        </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
----------------------------------
Multiple spouse is forbidden in Tunisia by law as a result the category "Married polygamous" is never identified]]>
      </notes>
    </var>
    <var ID="V3640" name="PMART_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="32" EndPos="34" 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
      </universe>
      <sumStat type="vald">
        56945
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031282
      </sumStat>
      <sumStat type="invd">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        363
      </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">
          32326
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5613139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          21752
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3908606
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          451
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2416
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          427481
        </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          363
        </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
----------------------------------
Multiple spouse is forbidden in Tunisia by law as a result the category "Married polygamous" is never identified]]>
      </notes>
    </var>
    <var ID="V3641" name="PREL" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="35" 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">
        56947
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031645
      </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">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          9691
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1756163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          30142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5246057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/Mother (parents)
        </labl>
        <catStat type="freq">
          1066
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          177804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          1547
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          259671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          2038
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          334921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          145
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32880
        </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
----------------------------------
There is no distinction between heads' and spouses' parents (code 6), hence they are all coded 4 (parents) in the harmonized data]]>
      </notes>
    </var>
    <var ID="V3642" name="PREL_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="38" 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">
        56947
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10031645
      </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">
          12318
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2224149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          9691
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1756163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/Daughter
        </labl>
        <catStat type="freq">
          30142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5246057
        </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">
          1066
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          177804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          1547
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          259671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          1431
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          231794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
        <catStat type="freq">
          607
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Grandparents
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          145
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Servants
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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
----------------------------------
There is no distinction between heads' and spouses' parents (code 6), hence they are all coded 400 (parents) in the harmonized data]]>
      </notes>
    </var>
    <var ID="V3643" name="PFPRES" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="39" 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">
        29864
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5214026
      </sumStat>
      <sumStat type="invd">
        27083
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4817619
      </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">
          27230
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4748771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Father is not a household member
        </labl>
        <catStat type="freq">
          2634
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          465255
        </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">
          27083
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4817619
        </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 the head of the household's children and for the 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 no distinction can be done between heads' and spouses' parents (code 6), the characteristics of the heads' parents could not be generated.]]>
      </notes>
    </var>
    <var ID="V3644" name="PMPRES" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="40" EndPos="40" 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">
        31326
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5441386
      </sumStat>
      <sumStat type="invd">
        25621
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4590259
      </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">
          30940
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5375343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mother is not a household member
        </labl>
        <catStat type="freq">
          386
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66043
        </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">
          25621
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4590259
        </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 the head of the household's children and for the 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 no distinction can be done between heads' and spouses' parents (code 6), the characteristics of the heads' parents could not be generated.]]>
      </notes>
    </var>
    <var ID="V3645" name="PFATHID" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        ID of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="22"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        27230
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4748771
      </sumStat>
      <sumStat type="invd">
        29717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5282874
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the father
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          26196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4578276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          264
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          269
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          191
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5282874
        </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="V3646" name="PMOTHID" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        ID of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="23"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        30940
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5375343
      </sumStat>
      <sumStat type="invd">
        26007
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4656302
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the mother
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3946
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          667781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          25696
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4495476
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          380
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60814
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          332
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          59803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          227
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          101
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1056
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          26007
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4656302
        </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="V3647" name="PFAGE" wgt-var="V3632" files="F21" dcml="0" intrvl="contin">
      <location StartPos="45" EndPos="46" width="2" RecSegNo="1"/>
      <labl>
        Age of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="21" max="98"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        27230
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4748771
      </sumStat>
      <sumStat type="invd">
        29717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5282874
      </sumStat>
      <sumStat type="min">
        21
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        50.575
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        50.407
      </sumStat>
      <sumStat type="stdev">
        11.72
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.622
      </sumStat>
      <txt>
        Indicates the Age of the father
      </txt>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
According to the provided methodology:

98 indicates those aged 98 years or older .
99 indicates that the respondent doesn't know his/her age and the interviewer is unable to estimate the age. 
Therefore, the 18 cases coded "99" were recoded "missing".]]>
      </notes>
    </var>
    <var ID="V3648" name="PMAGE" wgt-var="V3632" files="F21" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="48" width="2" RecSegNo="1"/>
      <labl>
        Age of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="18" max="96"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        30940
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5375343
      </sumStat>
      <sumStat type="invd">
        26007
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4656302
      </sumStat>
      <sumStat type="min">
        18
      </sumStat>
      <sumStat type="max">
        96
      </sumStat>
      <sumStat type="mean">
        44.672
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        44.63
      </sumStat>
      <sumStat type="stdev">
        10.98
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.026
      </sumStat>
      <txt>
        Indicates the Age of the mother
      </txt>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
According to the provided methodology:

98 indicates those aged 98 years or older .
99 indicates that the respondent doesn't know his/her age and the interviewer is unable to estimate the age. 
Therefore, the 18 cases coded "99" were recoded "missing".]]>
      </notes>
    </var>
    <var ID="V3649" name="PFMART" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="50" 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">
        27230
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4748771
      </sumStat>
      <sumStat type="invd">
        29717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5282874
      </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">
          26908
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4693127
        </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">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          276
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47732
        </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">
          29717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5282874
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
Multiple spouse is forbidden in Tunisia by law as a result the category "Married polygamous" is never identified]]>
      </notes>
    </var>
    <var ID="V3650" name="PMMART" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="52" 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">
        30940
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5375343
      </sumStat>
      <sumStat type="invd">
        26007
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4656302
      </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">
          28309
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4910631
        </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">
          299
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2332
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          410605
        </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">
          26007
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4656302
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
Multiple spouse is forbidden in Tunisia by law as a result the category "Married polygamous" is never identified]]>
      </notes>
    </var>
    <var ID="V3651" name="PFMART_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="55" 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">
        27230
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4748771
      </sumStat>
      <sumStat type="invd">
        29717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5282874
      </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">
          26908
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4693127
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          276
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47732
        </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">
          29717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5282874
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
Multiple spouse is forbidden in Tunisia by law as a result the category "Married polygamous" is never identified]]>
      </notes>
    </var>
    <var ID="V3652" name="PMMART_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="58" 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">
        30940
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5375343
      </sumStat>
      <sumStat type="invd">
        26007
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4656302
      </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">
          28309
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4910631
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          299
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2332
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          410605
        </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">
          26007
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4656302
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
Multiple spouse is forbidden in Tunisia by law as a result the category "Married polygamous" is never identified]]>
      </notes>
    </var>
    <var ID="V3653" name="PFEDUC" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="60" 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">
        27230
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4748771
      </sumStat>
      <sumStat type="invd">
        29717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5282874
      </sumStat>
      <txt>
        Indicates the Educational level of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          19249
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3263076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          975
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          184240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          2669
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          492938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          500
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          99715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          813
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          170945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          509892
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5282874
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.]]>
      </notes>
    </var>
    <var ID="V3654" name="PMEDUC" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="62" 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">
        30940
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5375343
      </sumStat>
      <sumStat type="invd">
        26007
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4656302
      </sumStat>
      <txt>
        Indicates the Educational level of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          23635
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3981791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          651
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          2034
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          415832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          323
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          413
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3843
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          677199
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          26007
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4656302
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.]]>
      </notes>
    </var>
    <var ID="V3655" name="PFEDUC_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="65" 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">
        27230
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4748771
      </sumStat>
      <sumStat type="invd">
        29717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5282874
      </sumStat>
      <txt>
        Indicates the Educational level of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          13234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2311013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          5743
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          908602
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3058
        </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">
          253
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Preparatory stage for elementary education
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          417
        </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">
          718
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          139608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          253
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          496
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          935
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          179182
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          1734
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          313756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          500
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          99715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          813
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          170945
        </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">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          69
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          509892
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5282874
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------

Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those who are currently attending a professional secondary level were assumed to have completed a "professional below secondary" education.
Similarly, those who are currently attending a post professional secondary level were assumed to have completed a "professional secondary" education.

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.

Those who did not complete any education level in v_223 however reported to have succeeded to complete a certain number of education years were assumed to be able to read and write.]]>
      </notes>
    </var>
    <var ID="V3656" name="PMEDUC_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="68" 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">
        30940
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5375343
      </sumStat>
      <sumStat type="invd">
        26007
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4656302
      </sumStat>
      <txt>
        Indicates the Educational level of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          11436
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2029022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          12068
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1930754
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18731
        </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">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3284
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Preparatory stage for elementary education
        </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">
          470
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          95249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          655
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          1379
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          281573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          323
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67662
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          413
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94465
        </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">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3843
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          677199
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          26007
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4656302
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------

Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those who are currently attending a professional secondary level were assumed to have completed a "professional below secondary" education.
Similarly, those who are currently attending a post professional secondary level were assumed to have completed a "professional secondary" education.

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.

Those who did not complete any education level in v_223 however reported to have succeeded to complete a certain number of education years were assumed to be able to read and write.]]>
      </notes>
    </var>
    <var ID="V3657" name="PFMAS" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="70" 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">
        27230
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4748771
      </sumStat>
      <sumStat type="invd">
        29717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5282874
      </sumStat>
      <txt>
        Indicates the Main activity of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          21937
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3808960
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          784
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          128602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          4313
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          779004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          97
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2019
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5282874
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3658" name="PMMAS" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="72" 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">
        30940
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5375343
      </sumStat>
      <sumStat type="invd">
        26007
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4656302
      </sumStat>
      <txt>
        Indicates the Main activity of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          7422
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1400871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          233
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          21844
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3676370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          1292
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          226619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          113
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2534
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          26007
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4656302
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3659" name="PFMAS_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="75" width="3" RecSegNo="1"/>
      <labl>
        Main activity 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">
        27230
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4748771
      </sumStat>
      <sumStat type="invd">
        29717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5282874
      </sumStat>
      <txt>
        Indicates the Main activity of the father
      </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">
          20991
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3633681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          898
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          167484
        </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">
          428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7367
        </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">
          737
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          120468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8134
        </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">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14332
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          239
        </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">
          3109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          579893
        </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">
          1204
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          199111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7990
        </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">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5293
        </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">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2332
        </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">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2019
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          29717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5282874
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For 7 out of 11 members reported to be currently unemployed due to being in military services, all related employment characteristics are available. For those 7 cases, the harmonized employment related variables were generated.]]>
      </notes>
    </var>
    <var ID="V3660" name="PMMAS_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="78" width="3" RecSegNo="1"/>
      <labl>
        Main activity 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">
        30940
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5375343
      </sumStat>
      <sumStat type="invd">
        26007
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4656302
      </sumStat>
      <txt>
        Indicates the Main activity of the mother
      </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">
          7061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1329798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          361
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          71073
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          95
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16337
        </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">
          21844
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3676370
        </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">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3919
        </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">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33119
        </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">
          1143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          193500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12435
        </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">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2566
        </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">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7756
        </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">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2534
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          26007
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4656302
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For 7 out of 11 members reported to be currently unemployed due to being in military services, all related employment characteristics are available. For those 7 cases, the harmonized employment related variables were generated.]]>
      </notes>
    </var>
    <var ID="V3661" name="PFCEMS" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="80" 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">
        22674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3929428
      </sumStat>
      <sumStat type="invd">
        34273
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6102217
      </sumStat>
      <txt>
        Indicates the Employment status of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          14395
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2545531
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          2107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          396556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          5997
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          958026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          113
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19160
        </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">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3981
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6174
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6102217
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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="V3662" name="PMCEMS" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <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">
        7560
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1426807
      </sumStat>
      <sumStat type="invd">
        49387
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8604838
      </sumStat>
      <txt>
        Indicates the Employment status of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          3798
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          742349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          278
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          57571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          1972
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          355800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1489
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          267000
        </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">
          1029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3058
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          49387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8604838
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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="V3663" name="PFOCC" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="85" 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">
        22674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3929428
      </sumStat>
      <sumStat type="invd">
        34273
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6102217
      </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">
          2251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          433728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          899
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          183520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          1257
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          231005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          819
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          154789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          1568
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          298219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          4669
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          706981
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          3306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          590275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          2455
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          423534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          5396
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          896558
        </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">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4536
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6102217
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The code "0" has no label either in the provided questionnaire or in the data files. 
As a result it was recoded in other/unspecified]]>
      </notes>
    </var>
    <var ID="V3664" name="PMOCC" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="88" 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">
        7560
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1426807
      </sumStat>
      <sumStat type="invd">
        49387
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8604838
      </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">
          378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          70550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          353
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          792
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          399
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          367
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          2803
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          503004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          637
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          413
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          1403
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          257538
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2354
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          49387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8604838
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The code "0" has no label either in the provided questionnaire or in the data files. 
As a result it was recoded in other/unspecified]]>
      </notes>
    </var>
    <var ID="V3665" name="PFOCC_unrecoded" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="92" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the father [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        22674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3929428
      </sumStat>
      <sumStat type="invd">
        34273
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6102217
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the father, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          unspecified
        </labl>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Managers
        </labl>
        <catStat type="freq">
          2251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          433728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          High Professionals
        </labl>
        <catStat type="freq">
          899
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          183520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and middle level professionals
        </labl>
        <catStat type="freq">
          1257
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          231005
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerk
        </labl>
        <catStat type="freq">
          819
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          154789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and sales men
        </labl>
        <catStat type="freq">
          1568
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          298219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Experienced agricultural workers
        </labl>
        <catStat type="freq">
          4669
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          706981
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft workers
        </labl>
        <catStat type="freq">
          3306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          590275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Machine operators
        </labl>
        <catStat type="freq">
          2455
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          423534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unqualified workers
        </labl>
        <catStat type="freq">
          5396
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          896558
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4536
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6102217
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3666" name="PMOCC_unrecoded" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="96" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the mother [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        7560
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1426807
      </sumStat>
      <sumStat type="invd">
        49387
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8604838
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the mother, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          unspecified
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Managers
        </labl>
        <catStat type="freq">
          378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          70550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          High Professionals
        </labl>
        <catStat type="freq">
          353
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and middle level professionals
        </labl>
        <catStat type="freq">
          792
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerk
        </labl>
        <catStat type="freq">
          399
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and sales men
        </labl>
        <catStat type="freq">
          367
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Experienced agricultural workers
        </labl>
        <catStat type="freq">
          2803
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          503004
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft workers
        </labl>
        <catStat type="freq">
          637
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Machine operators
        </labl>
        <catStat type="freq">
          413
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unqualified workers
        </labl>
        <catStat type="freq">
          1403
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          257538
        </catStat>
        <catgry>
          <catValu>
            9999
          </catValu>
          <labl>
            Not stated
          </labl>
          <catStat type="freq">
            12
          </catStat>
          <catStat wgtd="wgtd" type="freq">
            2354
          </catStat>
        </catgry>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3667" name="PFIND" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="99" width="3" RecSegNo="1"/>
      <labl>
        Industry 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">
        22674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3929428
      </sumStat>
      <sumStat type="invd">
        34273
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6102217
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the father, standardized on a 1-digit coding level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          5859
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          893230
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          262
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          2208
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          445427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3804
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          627925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          3620
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          683103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          1782
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          315649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          430
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          2025
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          348437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          2293
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          409592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21688
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6102217
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.

Some unidentified codes in ISIC Rev.3, representing 0.1% of the total sample size, were recoded unspecified.

Hotels and restaurants are included in commerce.

Education, health and social work are included in other services]]>
      </notes>
    </var>
    <var ID="V3668" name="PMIND" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="102" 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">
        7560
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1426807
      </sumStat>
      <sumStat type="invd">
        49387
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8604838
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the mother, standardized on a 1-digit coding level.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          3368
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          600444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          1346
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          258863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          584
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          114633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          145
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          308
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          1613
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          324437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10147
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          49387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8604838
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.

Some unidentified codes in ISIC Rev.3, representing 0.1% of the total sample size, were recoded unspecified.

Hotels and restaurants are included in commerce.

Education, health and social work are included in other services]]>
      </notes>
    </var>
    <var ID="V3669" name="PFIND_ISIC3_2" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="106" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the father [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        22674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3929428
      </sumStat>
      <sumStat type="invd">
        34273
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6102217
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the father, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          5360
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          807403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          264
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          235
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7590
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1356
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          425
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          79931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          178
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          106
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          224
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3890
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          129
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          66
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          223
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41717
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9211
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          191
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9747
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          245
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2560
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          99
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3804
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          627925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          325
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          487
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          95166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          2171
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          395616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          637
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          128945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          1392
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          241575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          156
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          177
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          87
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          2025
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          348437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1183
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          214067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          420
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          76986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          218
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          130
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24382
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21688
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6102217
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.]]>
      </notes>
    </var>
    <var ID="V3670" name="PMIND_ISIC3_2" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="110" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the mother [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        7560
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1426807
      </sumStat>
      <sumStat type="invd">
        49387
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8604838
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the mother, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          3288
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          588989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          79
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11311
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          861
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          104
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          304
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          686
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          142760
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          46
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7930
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </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>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          429
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          99
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21233
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          935
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          62
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          308
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          766
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          376
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          77546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51176
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10147
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          49387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8604838
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.]]>
      </notes>
    </var>
    <var ID="V3671" name="PFTYPEWK" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="112" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment 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">
        22674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3929428
      </sumStat>
      <sumStat type="invd">
        34273
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6102217
      </sumStat>
      <txt>
        Indicates the Sector of employment of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          4817
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          845341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          821
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          16502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2830039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56649
        </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">
          146
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          106
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19110
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6102217
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3672" name="PMTYPEWK" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="114" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment 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">
        7560
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1426807
      </sumStat>
      <sumStat type="invd">
        49387
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8604838
      </sumStat>
      <txt>
        Indicates the Sector of employment of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          1477
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          289209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          91
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          5547
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1028967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69686
        </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">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9061
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9205
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          49387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8604838
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3673" name="PFTYPEWK_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="117" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment 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">
        22674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3929428
      </sumStat>
      <sumStat type="invd">
        34273
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6102217
      </sumStat>
      <txt>
        Indicates the Sector of employment of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          4817
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          845341
        </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">
          821
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155106
        </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">
          10993
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1760492
        </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">
          5509
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1069547
        </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">
          282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56649
        </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">
          146
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23183
        </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">
          106
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19110
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6102217
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3674" name="PMTYPEWK_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="118" EndPos="120" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment 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">
        7560
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1426807
      </sumStat>
      <sumStat type="invd">
        49387
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8604838
      </sumStat>
      <txt>
        Indicates the Sector of employment of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          1477
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          289209
        </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">
          91
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20679
        </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">
          4100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          735314
        </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">
          1447
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          293653
        </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">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69686
        </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">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9061
        </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">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9205
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          49387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8604838
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3675" name="PLIT" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="121" 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 3+ years
      </universe>
      <sumStat type="vald">
        50111
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8830431
      </sumStat>
      <sumStat type="invd">
        6836
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1201214
      </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">
          10679
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1774669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          39432
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7055762
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6836
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1201214
        </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
----------------------------------
Those who are not currently enrolled and never completed one successful grade in any school level were assumed to be illiterate.]]>
      </notes>
    </var>
    <var ID="V3676" name="EVERATTD" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="123" 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 3+ years
      </universe>
      <sumStat type="vald">
        50111
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8830431
      </sumStat>
      <sumStat type="invd">
        6836
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1201214
      </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">
          10679
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1774669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          39432
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7055762
        </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">
          6836
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1201214
        </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
----------------------------------
Those who are not currently enrolled and never completed one successful grade in any school level were assumed to have never attended school.]]>
      </notes>
    </var>
    <var ID="V3677" name="PEDUC" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="125" 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 3+ years
      </universe>
      <sumStat type="vald">
        54463
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9598118
      </sumStat>
      <sumStat type="invd">
        2484
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        433527
      </sumStat>
      <txt>
        Highest level of education attained.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          34974
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6065301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          8606
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1492194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          4606
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          880510
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          696
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1065
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          223474
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30624
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4392
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          774635
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2484
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          433527
        </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
----------------------------------
Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.]]>
      </notes>
    </var>
    <var ID="V3678" name="PEDUC_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="128" 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 3+ years
      </universe>
      <sumStat type="vald">
        54463
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9598118
      </sumStat>
      <sumStat type="invd">
        2484
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        433527
      </sumStat>
      <txt>
        Highest level of education attained
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          15845
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2818161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          10679
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1774669
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11268
        </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">
          605
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          110998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          291
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Preparatory stage for elementary education
        </labl>
        <catStat type="freq">
          398
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          76313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          7091
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1225012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          667
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          130447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          3919
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          670916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          3659
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625708
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          361
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          65123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          2284
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          447071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          2322
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          433439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          696
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131380
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1065
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          223474
        </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">
          73
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4392
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          774635
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2484
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          433527
        </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
----------------------------------

Highest level of education attained is computed for those who are currently attending school using v_221 by degrading their current level of education by one level. While for those who are not currently attending school, PEDUC is computed directly using v_228. 
 
For those who are enrolled in basic education and currently attending in grades 7 to 9, the highest educational level is assumed to be primary while for those currently attending in grades 1 to 6, the highest educational level is recoded "none". 

Those who are currently attending a professional secondary level were assumed to have completed a "professional below secondary" education.
Similarly, those who are currently attending a post professional secondary level were assumed to have completed a "professional secondary" education.

Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded 999 "Not stated". Since, their original level of education attained being secondary, post secondary or higher education, is not identified.

Those who did not complete any education level in v_223 however reported to have succeeded to complete a certain number of education years were assumed to be able to read and write.]]>
      </notes>
    </var>
    <var ID="V3679" name="PYEDUC" wgt-var="V3632" files="F21" dcml="0" intrvl="contin">
      <location StartPos="129" EndPos="130" width="2" RecSegNo="1"/>
      <labl>
        Number of effective years of schooling
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="22"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 3+ years
      </universe>
      <sumStat type="vald">
        32932
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5769131
      </sumStat>
      <sumStat type="invd">
        24015
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4262514
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        22
      </sumStat>
      <sumStat type="mean">
        5.204
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        5.501
      </sumStat>
      <sumStat type="stdev">
        5.202
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5.351
      </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
----------------------------------
Generated by ERF using the highest level of education completed.

Number of effective years of schooling was generated using v_221 and v_222 for those who are currently attending school and v_223, v_224 and v_228 for those who are not currently attending school. 
For those who are not currently attending school and no level of education is accomplished, but there is an indication that they can read and write, along with those who can read & write or were enrolled in any informal education, number of effective years of education was recoded "2".

The number of years of education could not be estimated for those currently enrolled in KG, Koranic schools (Kouttab) or the preparation stage for elementary education; and for those who reported "None" in the highest level of education completed.

For those who are currently enrolled in basic education, the effective years of schooling was computed to equal the grade level the individual is currently attending reduced by "one" to indicate the number of years successfully completed in basic education.]]>
      </notes>
    </var>
    <var ID="V3680" name="PATSCH" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="131" 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 3+ years
      </universe>
      <sumStat type="vald">
        54335
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9577959
      </sumStat>
      <sumStat type="invd">
        2612
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        453686
      </sumStat>
      <txt>
        Indicates whether the individual is currently attending school
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          36954
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6538457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          17381
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3039502
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2612
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          453686
        </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="V3681" name="PENROL" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="132" 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 3+years
      </universe>
      <sumStat type="vald">
        17362
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3036195
      </sumStat>
      <sumStat type="invd">
        39585
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6995450
      </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">
          7091
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1225012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          3636
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          620709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher secondary- academic
        </labl>
        <catStat type="freq">
          3636
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          621838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher secondary- technical/vocational
        </labl>
        <catStat type="freq">
          361
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          65123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Post secondary- technical
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1345
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          265377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          1266
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232923
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          39585
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6995450
        </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
----------------------------------
Those currently enrolled in one of the Tunisian Agency for Employment programs for the professional life preparation or continued formation were coded other in PENROL.
They can originally be graduate of secondary, post secondary or higher education.

The primary stage was eliminated from the new Tunisian education system. The current system starts at the basic education level, equivalent to the lower secondary level in other countries, and consisting of 9 years. Therefore, all students attending the basic education were coded 2 "lower secondary".]]>
      </notes>
    </var>
    <var ID="V3682" name="PCLFS" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="134" 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">
        41581
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7366405
      </sumStat>
      <sumStat type="invd">
        15366
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2665240
      </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">
          19236
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3464413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
        <catStat type="freq">
          22277
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3890895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11097
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          15366
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2665240
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3683" name="PCMAS" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="136" 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">
        41581
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7366405
      </sumStat>
      <sumStat type="invd">
        15366
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2665240
      </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">
          16482
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2990521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          2754
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          473892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          10441
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1789547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          6602
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1160616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          4753
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          854608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          481
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11097
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          15366
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2665240
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3684" name="PCMAS_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="137" EndPos="139" 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">
        41581
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7366405
      </sumStat>
      <sumStat type="invd">
        15366
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2665240
      </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">
          15762
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2852017
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          652
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          126421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5374
        </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">
          1341
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          229883
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          1402
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1736
        </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">
          10441
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1789547
        </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">
          6602
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1160616
        </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">
          1759
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          344456
        </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">
          2994
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          510152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24425
        </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">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7470
        </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">
          300
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54229
        </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">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11097
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          15366
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2665240
        </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
----------------------------------
For 7 out of 11 members reported to be currently unemployed due to being in military services, all related employment characteristics are available. For those 7 cases, the harmonized employment related variables were generated.]]>
      </notes>
    </var>
    <var ID="V3685" name="PCEMS" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="141" 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">
        17830
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3221503
      </sumStat>
      <sumStat type="invd">
        39117
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6810142
      </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">
          11866
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2180922
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          1142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          220015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          3426
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          578260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1303
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          225575
        </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">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3295
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          73
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13436
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          39117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6810142
        </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="V3686" name="POCC" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="142" EndPos="144" 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">
        17830
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3221503
      </sumStat>
      <sumStat type="invd">
        39117
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6810142
      </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">
          1307
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          255689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          757
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          1190
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          223959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          846
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          164709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          1566
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          297045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          3468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          568390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          2682
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          485910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          1809
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          338224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          4122
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          712203
        </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">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          63
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12177
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          39117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6810142
        </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
----------------------------------
The code "0" has no label either in the provided questionnaire or in the data files. 
As a result it was recoded in other/unspecified]]>
      </notes>
    </var>
    <var ID="V3687" name="POCC_unrecoded" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="148" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        17830
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3221503
      </sumStat>
      <sumStat type="invd">
        39117
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6810142
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          unspecified
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Managers
        </labl>
        <catStat type="freq">
          1307
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          255689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          High Professionals
        </labl>
        <catStat type="freq">
          757
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Technicians and middle level professionals
        </labl>
        <catStat type="freq">
          1190
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          223959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Clerk
        </labl>
        <catStat type="freq">
          846
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          164709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Service workers and sales men
        </labl>
        <catStat type="freq">
          1566
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          297045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Experienced agricultural workers
        </labl>
        <catStat type="freq">
          3468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          568390
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Craft workers
        </labl>
        <catStat type="freq">
          2682
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          485910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Machine operators
        </labl>
        <catStat type="freq">
          1809
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          338224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Unqualified workers
        </labl>
        <catStat type="freq">
          4122
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          712203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          63
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12177
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          39117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6810142
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3688" name="PIND" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="149" EndPos="151" 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">
        17830
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3221503
      </sumStat>
      <sumStat type="invd">
        39117
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6810142
      </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">
          4617
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          755617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          120
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          3004
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          589578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2166
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          366153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          2861
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          544744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          921
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166516
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration and Defence
        </labl>
        <catStat type="freq">
          1196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          2254
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          423712
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          56
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          119
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22878
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          39117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6810142
        </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.

Some unidentified codes in ISIC Rev.3, representing 0.1% of the total sample size, were recoded unspecified.

Hotels and restaurants are included in commerce.

Education, health and social work are included in other services]]>
      </notes>
    </var>
    <var ID="V3689" name="PIND_ISIC3_2" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="155" width="4" RecSegNo="1"/>
      <labl>
        Industry classification for the main job [ISIC Rev. 3- 2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        17830
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3221503
      </sumStat>
      <sumStat type="invd">
        39117
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6810142
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          4325
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          703983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          134
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          158
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          77
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          65722
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          317
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          1024
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          205886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          130
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          169
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20419
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          54
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          159
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          172
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34810
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6588
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          183
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2166
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          366153
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          299
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          364
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          1612
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          304066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          586
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          115283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          657
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          115788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          74
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          78
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1154
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          226
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47651
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          1196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1052
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          195384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          422
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          110
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          299
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54813
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          202
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41247
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          56
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          119
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22878
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          39117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6810142
        </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
----------------------------------
The economic activity variable codes were labeled following the International Standard Industrial Classification of all Economic Activities (ISIC Rev.3). This is based on the activity classification document provided with the survey data, which indicated that the codes are originally labeled following NAT1996 derived from the above mentioned classification.]]>
      </notes>
    </var>
    <var ID="V3690" name="PTYPEWK" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="156" EndPos="157" 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">
        17830
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3221503
      </sumStat>
      <sumStat type="invd">
        39117
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6810142
      </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">
          3113
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          563456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          414
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          13403
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2407189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          675
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129942
        </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">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          125
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23896
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          39117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6810142
        </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3691" name="PTYPEWK_D" wgt-var="V3632" files="F21" dcml="0" intrvl="discrete">
      <location StartPos="158" EndPos="160" 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">
        17830
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3221503
      </sumStat>
      <sumStat type="invd">
        39117
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6810142
      </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">
          3113
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          563456
        </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">
          414
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80774
        </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">
          7885
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1324948
        </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">
          5518
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1082241
        </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">
          675
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129942
        </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">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16246
        </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">
          125
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23896
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          39117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6810142
        </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
----------------------------------
The variable indicating the place of work was used to generate the sector of employment.

The survey guidelines indicate that:
"AD.ETAB.PUBLIQUE-Public administrations /establishment" includes all ministries and governmental entities.

"ENTREPR.PRIV.MIX-joint/foreign Enterprises" means companies with foreign capital and might jointly include national or private capitals therefore they were added to joint/cooperative.

"AUTRES. CHANTIER- Other working sites" includes centers associated to municipal councils, hence they were assumed to belong to the government sector.]]>
      </notes>
    </var>
    <var ID="V3692" name="PWEEKTL" wgt-var="V3632" files="F21" dcml="0" intrvl="contin">
      <location StartPos="161" EndPos="162" width="2" RecSegNo="1"/>
      <labl>
        Total weeks worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="48"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 15+ years
      </universe>
      <sumStat type="vald">
        17740
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3204469
      </sumStat>
      <sumStat type="invd">
        39207
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6827176
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        48
      </sumStat>
      <sumStat type="mean">
        39.776
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        40.188
      </sumStat>
      <sumStat type="stdev">
        13.634
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        13.445
      </sumStat>
      <txt>
        Number of weeks worked in a year
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
PWEEKTL provides the number of weeks worked in any job (full- or part-time) during the reference period.  

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.
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
----------------------------------
Number of weeks worked was generated using the variable provided (v_256) on number of working months. The available variable was multiplied by 4 to compute the number of working weeks.]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
