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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Household Expenditure and Consumption Survey, 2016/2017
        </titl>
        <IDNo>
          PAL_PECS_2017_HD_V3.0
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="ERF" role="Cleaning and harmonizing raw data received from the Statistical Agency">
          Economic Research Forum
        </producer>
        <prodDate date="2024-09">
          2024-09
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Expenditure and Consumption Survey, PECS 2017
        </titl>
        <altTitl>
          PECS 2017
        </altTitl>
        <IDNo>
          PAL_PECS_2017_HD_V3.0
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Palestinian National Authority">
          Palestinian Central Bureau of Statistics
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) 2024, Economic Research Forum | (c) 2017, Palestinian Central Bureau of Statistics
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg abbr="PNA" role="Financial assistance">
          The Palestinian National Authority
        </fundAg>
        <fundAg abbr="WB" role="Financial assistance">
          World Bank
        </fundAg>
        <fundAg abbr="EU" role="Financial assistance">
          European Union
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="ERF" 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>
          <![CDATA[Expenditure and Consumption Survey, Round 13 is the thirteenth survey round of PECS surveys.
Previously, The Palestinian Central Bureau of Statistics (PCBS) conducted a household expenditure and consumption survey for the first time between 1/10/1995 and 30/9/1996 (PECS 1995/1996).
PCBS then conducted a series of surveys on the following dates:
- A second survey (PECS 1997) between 1/1/1997 and 31/1/1997.
- A third survey  (PECS 1998) between 1/1/1998 and 31/1/1998.
- A fourth survey  (PECS 2001) between 15/3/2001 and 14/3/2002.
- A fifth survey  (PECS 2004) between 15/1/2004 and 14/1/2005.
- A sixth survey  (PECS 2005) between 15/1/2005 and 14/1/2006.
- A seventh survey  (PECS 2006) between 15/1/2006 and 14/1/2007.
- An eighth survey  (PECS 2007) between 15/1/2007 and 14/1/2008.  
- A ninth survey  (PECS 2008) between 15/1/2008 and 14/1/2009.
- A tenth survey  (PECS 2009) between 15/1/2009 and 14/1/2010.
- An eleventh survey  (PECS 2010) between 15/1/2010 and 14/1/2011.
- A twelveth survey (PECS 2011)  between 15/1/2011 and 14/1/2012.
- And a thirteenth survey (PECS 2017)  between 28/9/2016 and 10/10/2017.
 
The findings of these surveys constituted a solid database and enabled PCBS to publish detailed statistics on expenditure and consumption.]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2024-09">
          <![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.

V3.0: A cleaned and a harmonized version of the survey dataset, including all variables in V2.0 in addition to a number of new/detailed-composite coded version of the variables about health insurance & social security considered essential on 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>
          Poverty
        </topcClas>
        <topcClas>
          Expenditure
        </topcClas>
        <topcClas>
          Income
        </topcClas>
        <topcClas>
          Infrastructure
        </topcClas>
        <topcClas>
          Education
        </topcClas>
        <topcClas>
          Labor
        </topcClas>
        <topcClas>
          Health
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[The basic goal of the Household and Consumption Survey is to provide a necessary database for formulating national policies at various levels. This survey provides the contribution of the household sector to the Gross National Product (GNP). It determines the incidence of poverty, and provides weighted data which reflects the relative importance of the consumption items to be employed in determining the benchmark for rates and prices of items and services. 
Furthermore, this survey is a fundamental cornerstone in the process of studying the nutritional status in the Palestinian territory.

Note: ALL MONETARY VARIABLES ARE IN NIS]]>
      </abstract>
      <sumDscr>
        <collDate date="2016-09-28" event="start" cycle="Annual"/>
        <collDate date="2017-10-10" event="end" cycle="Annual"/>
        <nation abbr="PAL">
          Palestine
        </nation>
        <geogCover>
          The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates.
        </geogCover>
        <anlyUnit>
          <![CDATA[1- Household/family.
2- Individual/person.]]>
        </anlyUnit>
        <universe>
          All Palestinian households who are usually resident in the Palestinian Territory during 2017.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="PCBS" affiliation="Palestinian National Authority">
          Palestinian Central Bureau of Statistics
        </dataCollector>
        <sampProc>
          <![CDATA[Sample and Frame:
The sampling frame consists of all enumeration areas which were enumerated in 2007, each
numeration area consists of buildings and housing units with average of about 124 households in it. These enumeration areas are used as primary sampling units PSUs in the first stage of the sampling selection.

Sample Size:
The calculated sample size for the Expenditure and Consumption survey 2017 is about 5,612 households, 2,897 households in West Bank and 842  households in Gaza Strip.

Sample Design:
The sample is a stratified cluster systematic random sample with two stages:
First stage: selection of a systematic random sample of 391 enumeration areas.
Second stage: selection of a systematic random sample of 12 households from each enumeration area selected in the first stage.

Note: Data are not comprehensive for the J1 area of Jerusalem Governorate

Enumeration areas were distributed to twelve months and the sample for each quarter covers sample strata (Governorate, locality type)

Sample strata:
The population was divided by:
1- Governorate
2- Type of Locality (urban, rural, refugee camps)]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[The PECS questionnaire consists of two main sections: 

First: Survey's Questionnaire
Part of the questionnaire is to be filled in during the visit at the beginning of the month, while the other part is to be filled in at the end of the month. The questionnaire includes:
Control Sheet: Includes household's identification data, date of visit, data on the fieldwork and data processing team, and summary of household's members by gender.
Household Roster: Includes demographic, social, and economic characteristics of household's members.
Housing Characteristics: Includes data like type of housing unit, number of rooms, value of rent, and connection of housing unit to basic services like water, electricity and sewage. In addition, data in this section includes source of energy used for cooking and heating, distance of housing unit from transportation, education, and health centers, and sources of income generation like ownership of farm land or animals.
Food and Non-Food Items: includes food and non-food items, and household record her expenditure for one month.
Durable Goods Schedule: Includes list of main goods like washing machine, refrigerator, TV.
Assistances and Poverty: Includes data about cash and in kind assistances (assistance value, assistance source), also collecting data about household situation, and the procedures to cover expenses.
Monthly and Annual Income: Data pertinent to household's income from different sources is collected at the end of the registration period.

Second: List of Goods
The classification of the list of goods is based on the recommendation of the United Nations for the SNA under the name Classification of Personal Consumption by purpose. The list includes 55 groups of expenditure and consumption where each is given a sequence number based on its importance to the household starting with food goods, clothing groups, housing, medical treatment, transportation and communication, and lastly durable goods. Each group consists of important goods. The total number of goods in all groups amounted to 667 items for goods and services. Groups from 1-21 includes goods pertinent to food, drinks and cigarettes. Group 22 includes goods that are home produced and consumed by the household. The groups 23-45 include all items except food, drinks and cigarettes. The groups 50-55 include durable goods. The data is collected based on different reference periods to represent expenditure during the whole year except for cars where data is collected for the last three years.

Registration Form
The registration form includes instructions and examples on how to record consumption and expenditure items. The form includes columns:
* Monetary: If the good is purchased, or in kind: if the item is self produced.
* Title of the service of the good
* Unit of measurement (kilogram, liter, number)
* Quantity
* Value

The pages of the registration form are colored differently for the weeks of the month. The footer for each page includes remarks that encourage households to participate in the survey. The following are instructions that illustrate the nature of the items that should be recorded:
* Monetary expenditures during purchases
* Purchases based on debts
* Monetary gifts once presented
* Interest at pay
* Self produced food and goods once consumed
* Food and merchandise from commercial project once consumed
* Merchandises once received as a wage or part of a wage from the employer.]]>
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[Field Operations:
Four teams of female interviewers, three in the West Bank and one in the Gaza Strip carried out data collection. Each team consisted of a supervisor, and 11-26 female interviewers.

All field staff received a training session combining general theoretical and practical components. Interviewers, supervisors and editors for the survey were selected from those who worked on the previous rounds of PECS Surveys. Fieldwork procedures and organization were designed to ensure adequate supervision and the collection of high quality data. To this end, several quality control measures were used throughout fieldwork. An interviewer undertook between 120 and 150 household visits in a month. The households were asked to keep daily records in a diary during their recording month. The interviewer transferred the records in a questionnaire on a weekly basis. Data on durable goods were captured by the recall method for the last 12 months (rounds), in order to avoid large variance in estimates when the one-month approach is used.]]>
        </collSitu>
        <weight>
          <![CDATA[The weight of statistical units (sampling unit) in the sample is defined as the mathematical reciprocal of the probability to select the unit. The sample of the survey is stratified cluster systematic random one with two stages. Thus, a weight is calculated for each stage and the Households Weights is the multiplication of the two weights.

First stage weight:
The sample of enumeration areas is selected and the weight is called enumeration areas weight (the sampling unit is enumeration areas).

The weight for enumeration areas from stratum h by the design of sample is calculated by dividing the # of enumeration areas in stratum h on the sample size of enumeration areas in stratum h.

Second stage weight:
The sample of households is selected and the weight is called household weight (the sampling unit is household).


Household weight is calculated from stratum k by dividing number of households in each stratum with the sample size of households within the stratum k. The primary weight of households before modification is the multiplication of the weights of the first and second stages.

Then we adjust the weights for households to compensate for the non response of households by calculate the factor of weights adjustment by dividing the sample size of household from stratum h on the # of the respondent households from stratum h.

Then the final weight for the households is a multiplications of the factor of the weights adjustment by the primary weights for the household.]]>
        </weight>
        <cleanOps>
          <![CDATA[Data editing took place through a number of stages, including:
1. Office editing and coding
2. Data entry
3. Structure checking and completeness
4. Structural checking of SPSS data files]]>
        </cleanOps>
      </dataColl>
      <notes>
        Both data entry and tabulation were performed using the Oracle and SPSS software programs. Data entry was organized in 9 files, corresponding to the main parts of the questionnaire. A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, range checks, consisting checks and cross- validation. Complete manual inspection of results after data entry was performed, and questionnaires containing field-related errors were sent back to the field for corrections.
      </notes>
      <anlyInfo>
        <respRate>
          <![CDATA[The survey sample consisted of 5,612 households, weights were modified to account for the non-response rate. The response rate was 71.4%.

Total sample size = 5,612 Households
Household completed = 3739 Households
Traveling households = 91 Households
Unit does not exist = 47 Households
No one at home = 526 Households
Refused to cooperate = 633 Households
Vacant housing unit = 330 Households
No available information = 34 Households
Other= 61 Households


Response and non-response rates formulas:

Percentage of over-coverage errors = Total cases of over-coverage*100% Number of cases in original sample = 6.7%
Non-response rate = Total cases of non-response*100% Net sample size = 28.6%
Net sample = Original sample - cases of over-coverage
Response rate = 100% - non-response rate= 71.4%]]>
        </respRate>
        <EstSmpErr>
          <![CDATA[The impact of errors on data quality was reduced to a minimum due to the high efficiency and
outstanding selection, training, and performance of the fieldworkers.

Procedures adopted during the fieldwork of the survey were considered a necessity to ensure the collection of accurate data, notably:
1- Develop schedules to conduct field visits to households during survey fieldwork. The objectives of the visits and the data collected on each visit were
predetermined.
2- Fieldwork editing rules were applied during the data collection to ensure corrections were implemented before the end of fieldwork activities
3- Fieldworkers were instructed to provide details in cases of extreme expenditure or consumption by the household.
4- Questions on income were postponed until the final visit at the end of the month
5- Validation rules were embedded in the data processing systems, along with procedures to verify data entry and data edit.]]>
        </EstSmpErr>
      </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 Palestinian Central Bureau of Statistics as follows:

OAMDI, 2024. Harmonized Household Income and Expenditure Surveys (HHIES), http://www.erfdataportal.com/index.php/catalog. Version 3.0 of Licensed Data Files; PECS 2016/2017 - Palestinian Central Bureau of Statistics (PCBS). Egypt: Economic Research Forum (ERF).]]>
        </citReq>
        <conditions>
          Licensed datasets, accessible under conditions.
        </conditions>
        <disclaimer>
          The Economic Research Forum and the Palestinian Central Bureau of Statistics 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="F16" URI="PAL_PECS_2017_HD_V3.0.Nesstar?Index=0&amp;Name=Palestine17-HH-V3">
    <fileTxt>
      <fileName>
        Palestine17-HH-V3.NSDstat
      </fileName>
      <dimensns>
        <caseQnty>
          3739
        </caseQnty>
        <varQnty>
          188
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F17" URI="PAL_PECS_2017_HD_V3.0.Nesstar?Index=1&amp;Name=Palestine17-IND-V3">
    <fileTxt>
      <fileName>
        Palestine17-IND-V3.NSDstat
      </fileName>
      <dimensns>
        <caseQnty>
          20185
        </caseQnty>
        <varQnty>
          72
        </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 VG22">
      <labl>
        Individual
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V2941 V2942 V2943 V2944">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V2945 V2946">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V2947 V2948 V2949 V2950 V2951 V2952 V2953 V2954">
      <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="V2955 V2956 V2957 V2958 V2959 V2960 V2961 V2962 V2963 V2964 V2965 V2966 V2967 V2968">
      <labl>
        Dwelling characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG7" type="subject">
      <labl>
        Ownership of assets
      </labl>
    </varGrp>
    <varGrp ID="VG8" type="subject" var="V2969 V2972 V2975 V2976 V2977 V2978 V2981 V2984 V2987 V2990 V2993 V2996 V2999 V3002 V3005 V3008 V3011">
      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG9" type="subject" var="V2970 V2971 V2973 V2974 V2979 V2980 V2982 V2983 V2985 V2986 V2988 V2989 V2991 V2992 V2994 V2995 V2997 V2998 V3000 V3001 V3003 V3004 V3006 V3007 V3009 V3010 V3012 V3013">
      <labl>
        Spouses' characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V3014 V3016 V3017 V3018 V3019 V3020 V3015 V3021 V3023 V3024 V3025 V3026 V3027 V3022 V3028 V3030 V3031 V3029 V3032 V3033 V3034 V3035 V3036 V3037 V3038 V3040 V3041 V3042 V3043 V3039 V3044 V3045 V3046 V3047 V3048 V3049 V3050 V3051 V3052 V3053 V3054 V3055 V3056 V3057 V3058 V3059 V3060 V3061 V3062 V3063 V3064 V3065 V3066 V3067 V3068 V3069 V3070 V3071 V3072 V3073 V3074 V3075 V3076 V3077 V3078 V3079 V3080 V3081 V3082 V3083 V3084 V3085 V3086 V3087 V3088 V3089 V3090 V3091 V3092 V3093 V3094 V3095 V3096 V3097 V3098 V3099 V3100 V3101 V3102 V3103 V3104 V3105 V3106 V3107 V3108 V3109 V3110 V3111 V3112 V3113 V3114 V3115 V3116 V3117 V3118 V3119 V3120 V3124 V3121 V3122 V3123 V3125 V3126 V3127">
      <labl>
        Expenditure
      </labl>
      <defntn>
        <![CDATA[Including annual amounts of consumption expenditures; if possible split following the COICOP international standard classification).

All expenditure variables are recorded as yearly amounts. Amounts are annualized if not provided as such in original data. 
Annual expenditure amounts should be reported in country national currency.

Due to lack of details in many datasets, ERF constructs the expenditure variables, even if not all of the items are available. Any taxes included in the expenditure variables are deducted if possible. 

A check for outliers is necessary before conducting any analysis on the expenditure data. Extreme cases were detected in the original variables; however the appropriate method to deal with it was left to the user's judgment.]]>
      </defntn>
    </varGrp>
    <varGrp ID="VG11" type="subject" var="V3128">
      <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="V3129 V3130 V3131 V3132 V3135 V3136">
      <labl>
        Identification
      </labl>
    </varGrp>
    <varGrp ID="VG13" type="subject" var="V3133 V3134">
      <labl>
        Geographic
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V3137 V3138 V3139 V3140 V3141 V3142">
      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V3143 V3145 V3147 V3149 V3151 V3153 V3155 V3157 V3159 V3161 V3163 V3165 V3167 V3169 V3171 V3173">
      <labl>
        Father's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V3144 V3146 V3148 V3150 V3152 V3154 V3156 V3158 V3160 V3162 V3164 V3166 V3168 V3170 V3172 V3174">
      <labl>
        Mother's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG17" type="subject">
      <labl>
        Nationality and Immigration
      </labl>
    </varGrp>
    <varGrp ID="VG18" type="subject" var="V3175 V3176 V3177 V3178 V3179 V3180 V3181 V3182">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG19" type="subject" var="V3183 V3184">
      <labl>
        Health
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V3190 V3191 V3192 V3193 V3194 V3195 V3196 V3197 V3198 V3199 V3200">
      <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>
    <varGrp ID="VG22" type="subject" var="V3185 V3186 V3187 V3188 V3189">
      <labl>
        Social Protection
      </labl>
    </varGrp>
    <var ID="V2941" name="COUNTRY" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </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">
          3739
        </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">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both  the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2942" name="YEAR" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey Year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2011" max="2011"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2017
        </catValu>
        <catStat type="freq">
          3739
        </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="V2943" name="CASESER" files="F16" 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 UNITS="REAL" min="6" max="18022"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </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="V2944" name="HWEIGHT" wgt="wgt" files="F16" dcml="4" intrvl="contin">
      <location StartPos="13" EndPos="20" width="8" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.00608549331741742" max="3.45285586296857"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0973
      </sumStat>
      <sumStat type="max">
        4.347
      </sumStat>
      <sumStat type="mean">
        1
      </sumStat>
      <sumStat type="stdev">
        0.801
      </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="V2945" name="REG" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          West Bank
        </labl>
        <catStat type="freq">
          2897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2410.849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gaza Strip
        </labl>
        <catStat type="freq">
          842
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1328.151
        </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="V2946" name="RURURB" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="23" EndPos="23" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          1191
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          651.872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          2117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2731.965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          431
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          355.163
        </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="V2947" name="HNUM" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Number of persons
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="28"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        19
      </sumStat>
      <sumStat type="mean">
        5.399
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        5.515
      </sumStat>
      <sumStat type="stdev">
        2.414
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2.443
      </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="V2948" name="MALNUM" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="26" EndPos="27" width="2" RecSegNo="1"/>
      <labl>
        Number of Males
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="13"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </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">
        2.725
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.786
      </sumStat>
      <sumStat type="stdev">
        1.599
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.599
      </sumStat>
      <txt>
        Total number of Males in the household (including children)
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2949" name="FEMLNUM" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="28" EndPos="29" width="2" RecSegNo="1"/>
      <labl>
        Number of Females
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="15"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9
      </sumStat>
      <sumStat type="mean">
        2.673
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.729
      </sumStat>
      <sumStat type="stdev">
        1.487
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.51
      </sumStat>
      <txt>
        Total number of females in the household (including children)
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2950" name="CH14" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        Number of persons under age 14
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="11"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9
      </sumStat>
      <sumStat type="mean">
        1.893
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.019
      </sumStat>
      <sumStat type="stdev">
        1.769
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.812
      </sumStat>
      <txt>
        Number of persons under age 14 living in the household
      </txt>
      <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="V2951" name="NUM65" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="32" EndPos="32" width="1" RecSegNo="1"/>
      <labl>
        Number of persons aged 65 or more
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </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">
        0.2
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.193
      </sumStat>
      <sumStat type="stdev">
        0.484
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.473
      </sumStat>
      <txt>
        Number of household members aged 65 or more including head and spouse.
      </txt>
      <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="V2952" name="HCOMP" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Household composition
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates the composition of the household with the number of adults and of children using standardized family models: 2 adults no children, 2 adults 1-2 children etc..
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          1-2 adults, no child
        </labl>
        <catStat type="freq">
          486
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          440.398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1-2 adults, 1-2 children
        </labl>
        <catStat type="freq">
          515
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          533.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          1-2 adult, 3 or more children
        </labl>
        <catStat type="freq">
          1066
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1132.759
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          3 adults or more, 0-1 child
        </labl>
        <catStat type="freq">
          757
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          705.374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          3 adults or more, 2-3 children
        </labl>
        <catStat type="freq">
          531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          501.85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          3 adults or more, 4 children or more
        </labl>
        <catStat type="freq">
          384
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          424.708
        </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="V2953" name="MARRIED" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Head living in couple
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </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">
          474
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          441.178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Married couple head and spouse
        </labl>
        <catStat type="freq">
          3247
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3286.658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Several cohabiting spouses
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.165
        </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="V2954" name="EARN" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Number of earners
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </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">
          566
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          600.982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2025
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2105.707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          757
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          695.655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21.665
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.287
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.468
        </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
----------------------------------
The number of earners was created using the members’ relation to labor force by counting the number of employed persons. Those identified to be unpaid employees were not counted.]]>
      </notes>
    </var>
    <var ID="V2955" name="INCS" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Source of income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="55"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Main income source of the household
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Household business
        </labl>
        <catStat type="freq">
          616
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          541.858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Salaries and wages
        </labl>
        <catStat type="freq">
          2356
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2363.205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Remittances from country or abroad
        </labl>
        <catStat type="freq">
          246
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          246.978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Remittances and other sources
        </labl>
        <catStat type="freq">
          369
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          438.117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Pensions
        </labl>
        <catStat type="freq">
          121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          120.783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        <![CDATA[Generated by ERF
OR
Original survey variable recoded/renamed (Ref: Data dictionary.pdf) if available]]>
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable may not exist in most of the surveys but can be constructed from the individual files 


COUNTRY SPECIFIC NOTES
----------------------------------
Remittances and other sources of income are aggregated in the original variable provided.
Therefore,  a new code "35" was added to the variable to indicate both sources.]]>
      </notes>
    </var>
    <var ID="V2956" name="DWLTYP" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Type of dwelling [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          2062
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1704.322
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          1644
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2000.597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.219
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </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="V2957" name="DWLTYP_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Type of dwelling [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="450"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Type of the dwelling
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Floor building
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          House
        </labl>
        <catStat type="freq">
          2062
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1704.322
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Countryside house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Arabic house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Traditional house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Modern house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Public or part of a public house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          Small house (part of a villa)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          House in an agency
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          House built in bricks or rocks or concrete
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          190
        </catValu>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Villa
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Villa or floor in a villa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Part of a villa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Palace
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Apartment
        </labl>
        <catStat type="freq">
          1644
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2000.597
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          One or more separate room
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.302
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Clay or reed house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Other place not suitable for residence
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </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="V2958" name="DWLTEN" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="42" width="1" RecSegNo="1"/>
      <labl>
        Tenure of dwelling [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          262
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          291.503
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Owned
        </labl>
        <catStat type="freq">
          3108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3047.561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Provided free
        </labl>
        <catStat type="freq">
          362
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          395.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.133
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </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
----------------------------------
Code "5" is not provided in the dataset.]]>
      </notes>
    </var>
    <var ID="V2959" name="DWLTEN_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="45" width="3" RecSegNo="1"/>
      <labl>
        Tenure of dwelling [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="430"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Type of tenure
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Rented
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Unfurnished rent
        </labl>
        <catStat type="freq">
          257
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          286.167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Furnished rent
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.336
        </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">
          3108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3047.561
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.828
        </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">
          357
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          393.432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.133
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </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="V2960" name="ROOM" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Number of rooms
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="16"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        12
      </sumStat>
      <sumStat type="mean">
        3.85
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3.84
      </sumStat>
      <sumStat type="stdev">
        1.238
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.255
      </sumStat>
      <txt>
        Number of rooms excluding bathroom and kitchen
      </txt>
      <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="V2961" name="ELECT" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Electrified
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Indicates if the dwelling is electrified or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electrified
        </labl>
        <catStat type="freq">
          3736
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3737.457
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is often generated from the source of lighting. Using private generator is considered as electrified.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2962" name="SCOOK" wgt-var="V2944" files="F16" 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 UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Distinguish between different sources of energy for cooking
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gas
        </labl>
        <catStat type="freq">
          3683
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3679.753
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Wood &amp; coal
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31.583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.604
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </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="V2963" name="WAT" wgt-var="V2944" files="F16" 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 UNITS="REAL" min="1" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Indicates from where the household get its drinking water
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Piped supply
        </labl>
        <catStat type="freq">
          3532
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3538.094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public tap
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.631
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Well
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Tanker
        </labl>
        <catStat type="freq">
          118
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          115.359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80.374
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </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="V2964" name="TFACIL" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Transportation facilities
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Indicates the proximity to public transportation
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 KM
        </labl>
        <catStat type="freq">
          2977
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3070.464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1-5 KM
        </labl>
        <catStat type="freq">
          699
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          618.171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          More than 5 KM
        </labl>
        <catStat type="freq">
          60
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48.822
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </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 distance range to public transportation
In case we have different ordinal variables indicating proximity different transportation means (separately) such to taxi, bus , etc. we take the average.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2965" name="SFACIL" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Schooling facilities
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Indicates the proximity to schools/universities
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 KM
        </labl>
        <catStat type="freq">
          502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          463.057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1-5 KM
        </labl>
        <catStat type="freq">
          581
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          550.267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          More than 5 KM
        </labl>
        <catStat type="freq">
          1234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1354.345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1419
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1369.787
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variables is a summary of variables indicating the distance to elementary school, university etc.
In case we have different ordinal variables indicating proximity to different education establishments (separately) such to elementary schools, secondary schools , etc. we take the average.


COUNTRY SPECIFIC NOTES
----------------------------------
Indicates the proximity to Elementary /Secondary Schools only]]>
      </notes>
    </var>
    <var ID="V2966" name="HFACIL" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Health facilities
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Indicates the proximity to health centers and hospitals
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Less than 1 KM
        </labl>
        <catStat type="freq">
          665
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          904.245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          1-5 KM
        </labl>
        <catStat type="freq">
          2483
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2363.229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          More than 5 KM
        </labl>
        <catStat type="freq">
          588
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          469.983
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variables is a summary of variables indicating the distance to health center and hospital
In case we have different ordinal variables indicating proximity to different health establishments (separately) such to private doctors, hospitals health centers , etc. we take the average.


COUNTRY SPECIFIC NOTES
----------------------------------
Indicates the proximity to health centers and hospitals including doctor, health centre, hospital, and mother and child health centre. The variable was generated as a “round average” of the variables  indicating the distance to different health facilities.]]>
      </notes>
    </var>
    <var ID="V2967" name="TOIF" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Toilet facility
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </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">
          1592
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2140.863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Yes and not connected to sewage
        </labl>
        <catStat type="freq">
          2136
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1592.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          No facility
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.569
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.543
        </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
----------------------------------
Generated using 2 variables- H9c: connection to sewage public network & H12: availability of a toilet]]>
      </notes>
    </var>
    <var ID="V2968" name="GRBG_DSP" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="57" width="3" RecSegNo="1"/>
      <labl>
        Garbage disposal method
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="730"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <txt>
        Indicates the method the household uses for garbage disposal
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Collected
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Collected by a garbage collector
        </labl>
        <catStat type="freq">
          1040
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1365.082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Collected by a private company
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Collected by government services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Thrown in a public bin
        </labl>
        <catStat type="freq">
          2581
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2298.096
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Thrown in a closed public bin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Thrown in an unclosed public bin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Thrown in a garbage area
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Thrown in the streets
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Thrown randomly
        </labl>
        <catStat type="freq">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.901
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Burnt
        </labl>
        <catStat type="freq">
          74
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Heap
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Pit
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Recycled
        </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">
          1.543
        </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="V2969" name="AGEHD" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="16" max="98"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        20
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        47.424
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        46.837
      </sumStat>
      <sumStat type="stdev">
        13.699
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        13.704
      </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
----------------------------------
98 indicates those aged 98 years or older]]>
      </notes>
    </var>
    <var ID="V2970" name="AGESP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        Age of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15" max="84"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        3264
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3297.233
      </sumStat>
      <sumStat type="invd">
        475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        441.767
      </sumStat>
      <sumStat type="min">
        16
      </sumStat>
      <sumStat type="max">
        86
      </sumStat>
      <sumStat type="mean">
        40.215
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        39.799
      </sumStat>
      <sumStat type="stdev">
        12.22
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        12.237
      </sumStat>
      <txt>
        Age in years of the first spouse
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).

COUNTRY SPECIFIC NOTES
----------------------------------
98 indicates those aged 98 years or older]]>
      </notes>
    </var>
    <var ID="V2971" name="AGESP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="contin">
      <location StartPos="83" EndPos="84" width="2" RecSegNo="1"/>
      <labl>
        Age of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="25" max="70"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        19
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12.846
      </sumStat>
      <sumStat type="invd">
        3720
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3726.154
      </sumStat>
      <sumStat type="min">
        2
      </sumStat>
      <sumStat type="max">
        58
      </sumStat>
      <sumStat type="mean">
        35.421
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        36.019
      </sumStat>
      <sumStat type="stdev">
        16.86
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        20.03
      </sumStat>
      <txt>
        Age in years of the second spouse
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, age may be calculated at a certain reference date (e.g., 31 December of last year). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).

COUNTRY SPECIFIC NOTES
----------------------------------
98 indicates those aged 98 years or older]]>
      </notes>
    </var>
    <var ID="V2972" name="SEXHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="87" width="1" RecSegNo="1"/>
      <labl>
        Gender of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Gender of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          3342
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3363.074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          397
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          375.926
        </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="V2973" name="SEXSP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="88" width="1" RecSegNo="1"/>
      <labl>
        Gender of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        3264
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3297.233
      </sumStat>
      <sumStat type="invd">
        475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        441.767
      </sumStat>
      <txt>
        Gender of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          3259
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3294.734
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          441.767
        </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="V2974" name="SEXSP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="89" width="1" RecSegNo="1"/>
      <labl>
        Gender of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All spouses
      </universe>
      <sumStat type="vald">
        19
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12.846
      </sumStat>
      <sumStat type="invd">
        3720
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3726.154
      </sumStat>
      <txt>
        Gender of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12.846
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3720
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3726.154
        </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="V2975" name="MARTHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="92" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        <![CDATA[All heads aged  12+ years]]>
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          78
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58.458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          3295
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3333.923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39.647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          308
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          295.808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Should not be imputed, it can be generated only for those to whom the question was asked (in other words, the youngest age at which information is collected may differ depending on the survey).
Married refers to only formal marriages (including legally married). Polygamous unions includes males with multiple spouses. 
Number of spouses in household can be applied to compute polygamy.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2976" name="MARTHD_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="95" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        <![CDATA[All heads aged  12+ years]]>
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          78
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58.458
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          3289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3330.666
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39.647
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          308
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          295.808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2977" name="PARTHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="96" width="1" RecSegNo="1"/>
      <labl>
        Partnership and parenthood status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="6"/>
      </valrng>
      <universe clusion="I">
        All heads
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        ERF recode that allows users to identify heads as having a partner (either married or unmarried) versus not having a partner, as well as parents as opposed to non-parents, using a single variable
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head with partner, with no children
        </labl>
        <catStat type="freq">
          282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          264.846
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Head with partner, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          2600
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2666.197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Head with partner, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          425
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          410.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Single Head, with no children
        </labl>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          163.798
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Single Head, with children, Youngest child&lt;18
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80.036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Single Head, with children, Youngest child 18+
        </labl>
        <catStat type="freq">
          155
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          153.335
        </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="V2978" name="LITHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="97" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All heads aged 5+ years
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the head is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166.746
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          3554
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3572.254
        </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="V2979" name="LITSP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="98" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 5+ years
      </universe>
      <sumStat type="vald">
        3264
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3297.233
      </sumStat>
      <sumStat type="invd">
        475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        441.767
      </sumStat>
      <txt>
        This variable indicates whether the first spouse is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          118
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          3146
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3194.577
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          441.767
        </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="V2980" name="LITSP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="99" width="1" RecSegNo="1"/>
      <labl>
        Literacy status of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 5+ years
      </universe>
      <sumStat type="vald">
        17
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10.882
      </sumStat>
      <sumStat type="invd">
        3722
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3728.118
      </sumStat>
      <txt>
        This variable indicates whether the second spouse is literate (can read and write) or not
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.07
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3722
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3728.118
        </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="V2981" name="EDUHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="102" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 5+ years
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          565
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          557.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1814
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1783.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          548
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          583.963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          239.987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          479
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          489.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84.507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, use the code 1.
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2982" name="EDUSP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="104" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 5+ years
      </universe>
      <sumStat type="vald">
        3264
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3297.233
      </sumStat>
      <sumStat type="invd">
        475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        441.767
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          325.884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          1571
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1554.042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          601
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          684.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          204.443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          523
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          499.218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.474
        </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">
          475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          441.767
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, use the code 1.
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2983" name="EDUSP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="105" EndPos="106" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 5+ years
      </universe>
      <sumStat type="vald">
        17
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10.882
      </sumStat>
      <sumStat type="invd">
        3722
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3728.118
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3722
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3728.118
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, use the code 1.
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2984" name="EDUHD_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="111" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 5+ years
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166.746
        </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">
          380
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          390.318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          719
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          717.189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          398
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          405.363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          697
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          661.064
        </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">
          548
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          583.963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          239.987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          479
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          489.864
        </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">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.543
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          58
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52.54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2985" name="EDUSP_1_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="114" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 5+ years
      </universe>
      <sumStat type="vald">
        3264
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3297.233
      </sumStat>
      <sumStat type="invd">
        475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        441.767
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          118
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102.656
        </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">
          247
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          223.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          508
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          485.817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          329
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          341.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          734
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          726.717
        </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">
          601
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          684.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          204.443
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          523
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          499.218
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.007
        </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">
          475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          441.767
        </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="V2986" name="EDUSP_2_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="117" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 5+ years
      </universe>
      <sumStat type="vald">
        17
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10.882
      </sumStat>
      <sumStat type="invd">
        3722
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3728.118
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.673
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3722
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3728.118
        </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="V2987" name="MASHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="122" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All heads aged 10+ years
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the head during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          2702
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2661.526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124.046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38.191
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10.351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          875
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          904.886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The reference period might be the last 12 months or  the current time period.  
Unlike PCLFS, the main distinction in PCMAS is between:
- “Employed” -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- “Not Employed”.  
The rationale is that individuals do not generally spend their time “being unemployed”, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the “Not Employed”.
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive – individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".
In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2988" name="MASSP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="124" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        3264
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3297.233
      </sumStat>
      <sumStat type="invd">
        475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        441.767
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          472
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          395.483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          2676
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2788.111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84.401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.968
        </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">
          475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          441.767
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The reference period might be the last 12 months or  the current time period.  
Unlike PCLFS, the main distinction in PCMAS is between:
- “Employed” -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- “Not Employed”.  
The rationale is that individuals do not generally spend their time “being unemployed”, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the “Not Employed”.
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive – individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".
In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2989" name="MASSP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="125" EndPos="126" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        16
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10.093
      </sumStat>
      <sumStat type="invd">
        3723
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3728.907
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.171
        </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">
          3723
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3728.907
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The reference period might be the last 12 months or  the current time period.  
Unlike PCLFS, the main distinction in PCMAS is between:
- “Employed” -those who, during the reference period, carried out ANY employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition).  Among the employed, the variable should distinguish, if available, between those employed at work and those on leave
- “Not Employed”.  
The rationale is that individuals do not generally spend their time “being unemployed”, but use the time in unemployment to participate in other activities (e.g., attending school or being a housewife).  Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity.  In these cases, the individuals will be assigned to their own category among the “Not Employed”.
Accordingly, "Not Employed" are classified into:
     - Unemployed - individuals who are not employed according to the definition above, and who report that they are unemployed. 
     - Not in Labor Force / Inactive – individuals identifiable as being neither employed nor unemployed, by the definitions above.  If possible, the inactive category should distinguish between the retired, students, and homemakers.
     - Not Employed / Unemployed or Not in Labor Force - In some cases, it is not possible to distinguish between those who are unemployed and those who are inactive, but it is possible to determine that they are not employed.  In those cases where it is not feasible to determine unemployed versus inactive status, these individuals will be coded as "Not Employed".
In some surveys individuals are classified as employed students (or employed housewives) in that case they are considered as active in PCLFS and classified student (or housewives) in PCMAS. A cross tab between the two variables will permit to distinguish employed students (or housewives) from inactive ones.
A proper documentation should particularly be done for those cases during harmonization process


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2990" name="MASHD_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="131" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All heads aged 10+ years
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the head during the survey period
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          2702
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2661.526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          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>
          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">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          104.027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20.019
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38.191
        </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">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10.351
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          875
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          904.886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <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="V2991" name="MASSP_1_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="134" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        3264
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3297.233
      </sumStat>
      <sumStat type="invd">
        475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        441.767
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          472
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          395.483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          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>
          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">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12.844
        </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">
          13.426
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          2676
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2788.111
        </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">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84.401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          441.767
        </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="V2992" name="MASSP_2_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="137" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        16
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10.093
      </sumStat>
      <sumStat type="invd">
        3723
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3728.907
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          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>
          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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Temporary unemployed (in military services)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Working housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3723
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3728.907
        </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="V2993" name="EMSHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="142" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 10+ years
      </universe>
      <sumStat type="vald">
        2804
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2765.552
      </sumStat>
      <sumStat type="invd">
        935
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        973.448
      </sumStat>
      <txt>
        Detailed description of the employment status of the head
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          2025
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2042.713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          250
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          247.199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          474.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          935
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          973.448
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.
Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.
Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.
Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .
Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2994" name="EMSSP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="144" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        490
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        408.327
      </sumStat>
      <sumStat type="invd">
        3249
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3330.673
      </sumStat>
      <txt>
        Detailed description of the employment status of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          352
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          302.125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13.285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68.675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3249
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3330.673
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.
Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.
Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.
Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .
Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2995" name="EMSSP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="146" width="2" RecSegNo="1"/>
      <labl>
        Status of Employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2.75
      </sumStat>
      <sumStat type="invd">
        3735
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3736.25
      </sumStat>
      <txt>
        Detailed description of the employment status of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.464
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3735
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3736.25
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cutoff (and perhaps upper age cutoff) at which information is collected will vary from country to country. Definitions taken from the International Labor Organizations Classification of Status in Employment with some revisions to take into account the data available.
Employee includes anyone whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity.
Public includes quasi-government organizations.
Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the person is not considered an employer (as has no employees) and is, instead classified as own account.
Own account or self-employment: jobs are those where remuneration is directly dependent from the goods and service produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period.
Members of producers cooperatives are workers who hold a self-employment job in a cooperative producing goods and services .
Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related person living in the same households who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment.
Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories. 
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed if status in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2996" name="OCCHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="149" EndPos="151" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 10+ years
      </universe>
      <sumStat type="vald">
        2818
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2785.572
      </sumStat>
      <sumStat type="invd">
        921
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        953.428
      </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">
          161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          179.161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Professionals, Technicians, Associate professionals and Cler
        </labl>
        <catStat type="freq">
          630
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          642.383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          431
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          484.907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72.869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          646
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625.875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          339
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          328.174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          499
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          921
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          953.428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.
Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2997" name="OCCSP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="154" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        508
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        421.753
      </sumStat>
      <sumStat type="invd">
        3231
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3317.247
      </sumStat>
      <txt>
        <![CDATA[International Standard Occupational classification of the main (current or last held) job of the first spouse, with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Professionals, Technicians, Associate professionals and Cler
        </labl>
        <catStat type="freq">
          244
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          234.073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21.377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54.777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3231
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3317.247
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.
Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2998" name="OCCSP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="155" EndPos="157" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2.75
      </sumStat>
      <sumStat type="invd">
        3735
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3736.25
      </sumStat>
      <txt>
        <![CDATA[International Standard Occupational classification of the main (current or last held) job of the second spouse, with as much detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)  detail as possible (ideally 4-digit ISCO-88 or 08 if available in original survey)]]>
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Professionals, Technicians, Associate professionals and Cler
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3735
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3736.25
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The lower age cut-off (and perhaps upper age cut-off) at which information is collected will vary from country to country.
Classifies the main job of any individual with a job (EMPLOYED=1) and is missing otherwise. As most surveys collected detailed information and then coded it using national classifications, and the original data is not in the data bases, no attempt has been made to correct or check the original coding.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the occupation was not identified and unemployed if occupation in last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2999" name="OCCHD_unrecoded" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="162" width="2" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the head [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 10+ years
      </universe>
      <sumStat type="vald">
        2818
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2785.572
      </sumStat>
      <sumStat type="invd">
        921
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        953.428
      </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>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          179.161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals, Technicians, Associates and Clerks
        </labl>
        <catStat type="freq">
          630
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          642.383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Service shop and market workers
        </labl>
        <catStat type="freq">
          431
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          484.907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72.869
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          646
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625.875
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          339
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          328.174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Elementary occupations: Other
        </labl>
        <catStat type="freq">
          499
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          452.203
        </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">
          921
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          953.428
        </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="V3000" name="OCCSP_1_unrecoded" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="164" width="2" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the first spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        508
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        421.753
      </sumStat>
      <sumStat type="invd">
        3231
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3317.247
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the first spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.882
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals, Technicians, Associates and Clerks
        </labl>
        <catStat type="freq">
          244
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          234.073
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Service shop and market workers
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21.377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Elementary occupations: Other
        </labl>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54.777
        </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">
          3231
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3317.247
        </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="V3001" name="OCCSP_2_unrecoded" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="165" EndPos="166" width="2" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job of the second spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2.75
      </sumStat>
      <sumStat type="invd">
        3735
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3736.25
      </sumStat>
      <txt>
        Occupation classification for the main (current or last held) job of the second spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals, Technicians, Associates and Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Service shop and market workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Elementary occupations: Other
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.881
        </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">
          3735
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3736.25
        </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="V3002" name="INDHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="169" EndPos="171" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 10+ years
      </universe>
      <sumStat type="vald">
        2818
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2785.572
      </sumStat>
      <sumStat type="invd">
        921
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        953.428
      </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">
          232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166.527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Mining and Manufacturing
        </labl>
        <catStat type="freq">
          332
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          326.805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          644
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          597.095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          477
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          518.114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          211.029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          936
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          966.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          921
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          953.428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3003" name="INDSP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="172" EndPos="174" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        508
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        421.753
      </sumStat>
      <sumStat type="invd">
        3231
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3317.247
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the first spouse, with as much detail as possible
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          69
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39.571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Mining and Manufacturing
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35.521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          348
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3231
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3317.247
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3004" name="INDSP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="175" EndPos="177" width="3" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2.75
      </sumStat>
      <sumStat type="invd">
        3735
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3736.25
      </sumStat>
      <txt>
        Industry classification of the main (current or last held) job of the second spouse, with as much detail as possible
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture and Fishing
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Mining and Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3735
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3736.25
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets national classifications are used.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the inductry was not identified and unemployed if industry of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3005" name="INDHD_unrecoded" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="181" EndPos="182" width="2" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the head [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 10+ years
      </universe>
      <sumStat type="vald">
        2818
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2785.572
      </sumStat>
      <sumStat type="invd">
        921
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        953.428
      </sumStat>
      <txt>
        Industry 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>
          1
        </catValu>
        <labl>
          Agriculture, fishing and forestry
        </labl>
        <catStat type="freq">
          232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166.527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining, quarrying and manufacturing
        </labl>
        <catStat type="freq">
          332
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          326.805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          644
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          597.095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Commerce, restaurants and hotels
        </labl>
        <catStat type="freq">
          477
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          518.114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          211.029
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Services and other branches
        </labl>
        <catStat type="freq">
          936
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          966.001
        </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">
          921
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          953.428
        </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="V3006" name="INDSP_1_unrecoded" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="183" EndPos="184" width="2" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the first spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        508
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        421.753
      </sumStat>
      <sumStat type="invd">
        3231
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3317.247
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the first spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, fishing and forestry
        </labl>
        <catStat type="freq">
          69
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39.571
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining, quarrying and manufacturing
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35.521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.515
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Commerce, restaurants and hotels
        </labl>
        <catStat type="freq">
          52
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Services and other branches
        </labl>
        <catStat type="freq">
          348
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.426
        </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">
          3231
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3317.247
        </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="V3007" name="INDSP_2_unrecoded" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="185" EndPos="186" width="2" RecSegNo="1"/>
      <labl>
        Industry classification for the main job of the second spouse [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2.75
      </sumStat>
      <sumStat type="invd">
        3735
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3736.25
      </sumStat>
      <txt>
        Industry classification for the main (current or last held) job of the second spouse, an unrecoded version presenting codes as collected and received in the original dataset
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, fishing and forestry
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining, quarrying and manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Commerce, restaurants and hotels
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Services and other branches
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.328
        </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">
          3735
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3736.25
        </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="V3008" name="TYPEWKHD" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="189" EndPos="190" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 10+ years
      </universe>
      <sumStat type="vald">
        2804
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2765.552
      </sumStat>
      <sumStat type="invd">
        935
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        973.448
      </sumStat>
      <txt>
        <![CDATA[Sector of employment  of the head]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          654
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          645.822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          2079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2022.807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89.704
        </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">
          935
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          973.448
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3009" name="TYPEWKSP_1" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="191" EndPos="192" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        490
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        408.327
      </sumStat>
      <sumStat type="invd">
        3249
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3330.673
      </sumStat>
      <txt>
        Sector of employment of the first spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155.069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          275
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          215.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35.154
        </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">
          3249
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3330.673
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3010" name="TYPEWKSP_2" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="193" EndPos="194" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2.75
      </sumStat>
      <sumStat type="invd">
        3735
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3736.25
      </sumStat>
      <txt>
        Sector of employment of the second spouse
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3735
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3736.25
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.
The variable should generally cover the active sample (employed and unemployed).
Active sample reported as "not stated (code 99)" should normally include employed for whom the sector was not identified and unemployed if sector of last job is not reported. 



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3011" name="TYPEWKHD_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="197" EndPos="199" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active heads aged 10+ years
      </universe>
      <sumStat type="vald">
        2804
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2765.552
      </sumStat>
      <sumStat type="invd">
        935
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        973.448
      </sumStat>
      <txt>
        Sector of employment of the head
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          585
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          576.418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20.908
        </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">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          2079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2022.807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.219
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.891
        </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">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.109
        </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">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67.704
        </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">
          935
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          973.448
        </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="V3012" name="TYPEWKSP_1_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="200" EndPos="202" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        490
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        408.327
      </sumStat>
      <sumStat type="invd">
        3249
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3330.673
      </sumStat>
      <txt>
        Sector of employment of the first spouse
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          150.409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.585
        </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">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          275
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          215.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.657
        </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">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27.497
        </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">
          3249
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3330.673
        </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="V3013" name="TYPEWKSP_2_D" wgt-var="V2944" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="203" EndPos="205" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active spouses aged 10+ years
      </universe>
      <sumStat type="vald">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2.75
      </sumStat>
      <sumStat type="invd">
        3735
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3736.25
      </sumStat>
      <txt>
        Sector of employment of the second spouse
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.328
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable association
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3735
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3736.25
        </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="V3014" name="FOODEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="209" EndPos="217" 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="432" max="404268"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3732
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3733.23
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5.77
      </sumStat>
      <sumStat type="min">
        369.067
      </sumStat>
      <sumStat type="max">
        122083.807
      </sumStat>
      <sumStat type="mean">
        15459.21
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        14935.615
      </sumStat>
      <sumStat type="stdev">
        9469.163
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        9549.445
      </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
----------------------------------
All expenditure items were summated from the products data file (indicating monthly amounts in NIS).

All monthly amounts were annualized. 

Items aggregated under each expenditure type are identified in "Expenditure Aggregates" file.]]>
      </notes>
    </var>
    <var ID="V3015" name="CEREXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="218" EndPos="225" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Bread and Cereals
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="60" max="47088"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3660
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3669.113
      </sumStat>
      <sumStat type="invd">
        79
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        69.887
      </sumStat>
      <sumStat type="min">
        11.533
      </sumStat>
      <sumStat type="max">
        18649.4
      </sumStat>
      <sumStat type="mean">
        1661.444
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1646.573
      </sumStat>
      <sumStat type="stdev">
        1394.262
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1447.863
      </sumStat>
      <txt>
        Expenses on purchased Bread and Cereals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=RICE+GRAIN+BREAD+PAST+CERPRE


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3016" name="RICE" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="226" EndPos="232" width="7" RecSegNo="1"/>
      <labl>
        Rice expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="7200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2813.041
      </sumStat>
      <sumStat type="invd">
        879
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        925.959
      </sumStat>
      <sumStat type="min">
        22.982
      </sumStat>
      <sumStat type="max">
        6155.581
      </sumStat>
      <sumStat type="mean">
        745.34
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        708.16
      </sumStat>
      <sumStat type="stdev">
        638.653
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        650.156
      </sumStat>
      <txt>
        Expenditures on rice in all forms
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3017" name="GRAIN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="233" EndPos="240" width="8" RecSegNo="1"/>
      <labl>
        Grains and flour expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="10680"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2063
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2067.159
      </sumStat>
      <sumStat type="invd">
        1676
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1671.841
      </sumStat>
      <sumStat type="min">
        1.264
      </sumStat>
      <sumStat type="max">
        5612.442
      </sumStat>
      <sumStat type="mean">
        566.01
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        618.879
      </sumStat>
      <sumStat type="stdev">
        754.958
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        791.873
      </sumStat>
      <txt>
        Wheat, Maize, Barely and all cereals in the grain or flour form
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3018" name="BREAD" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="241" EndPos="248" width="8" RecSegNo="1"/>
      <labl>
        Bread and cakes expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6.6" max="45888"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3343
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3391.603
      </sumStat>
      <sumStat type="invd">
        396
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        347.397
      </sumStat>
      <sumStat type="min">
        5.745
      </sumStat>
      <sumStat type="max">
        14255.2
      </sumStat>
      <sumStat type="mean">
        754.272
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        735.121
      </sumStat>
      <sumStat type="stdev">
        875.758
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        892.046
      </sumStat>
      <txt>
        Bread in all forms, biscuits, cakes pizza..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3019" name="PAST" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="249" EndPos="255" width="7" RecSegNo="1"/>
      <labl>
        Pasta expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="1320"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1911
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1972.623
      </sumStat>
      <sumStat type="invd">
        1828
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1766.377
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        901.257
      </sumStat>
      <sumStat type="mean">
        120.753
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        124.672
      </sumStat>
      <sumStat type="stdev">
        103.216
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        108.359
      </sumStat>
      <txt>
        Macaroni, Noodles, Couscous ..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3020" name="CERPRE" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="256" EndPos="262" width="7" RecSegNo="1"/>
      <labl>
        Cereal preparation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="3732"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        111
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        109.988
      </sumStat>
      <sumStat type="invd">
        3628
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3629.012
      </sumStat>
      <sumStat type="min">
        62.28
      </sumStat>
      <sumStat type="max">
        1259.596
      </sumStat>
      <sumStat type="mean">
        263.466
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        280.847
      </sumStat>
      <sumStat type="stdev">
        172.012
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        203.28
      </sumStat>
      <txt>
        Cornflakes, malt, tapioca..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3021" name="CEROWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="263" EndPos="269" width="7" 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>
      <valrng>
        <range UNITS="REAL" min="36" max="6528"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        13
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7.237
      </sumStat>
      <sumStat type="invd">
        3726
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3731.763
      </sumStat>
      <sumStat type="min">
        57.454
      </sumStat>
      <sumStat type="max">
        752.454
      </sumStat>
      <sumStat type="mean">
        348.712
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        311.926
      </sumStat>
      <sumStat type="stdev">
        225.182
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        222.82
      </sumStat>
      <txt>
        Expenses on own-Produced Bread and Cereals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3022" name="MEATEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="270" EndPos="278" width="9" RecSegNo="1"/>
      <labl>
        Expenses on purchased Meat and Poultry
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="60" max="350412"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3676.365
      </sumStat>
      <sumStat type="invd">
        65
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        62.635
      </sumStat>
      <sumStat type="min">
        23.067
      </sumStat>
      <sumStat type="max">
        89880.795
      </sumStat>
      <sumStat type="mean">
        4464.592
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        4315.991
      </sumStat>
      <sumStat type="stdev">
        4184.637
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4249.005
      </sumStat>
      <txt>
        Expenses on purchased Meat and Poultry
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=SMEAT+CMEAT+OMEAT+CHMEAT+LMEAT


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3023" name="SMEAT" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="279" EndPos="287" width="9" RecSegNo="1"/>
      <labl>
        Sheep and goats Meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="84" max="180660"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        562
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        544.912
      </sumStat>
      <sumStat type="invd">
        3177
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3194.088
      </sumStat>
      <sumStat type="min">
        98.272
      </sumStat>
      <sumStat type="max">
        49711.446
      </sumStat>
      <sumStat type="mean">
        3363.597
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3392.718
      </sumStat>
      <sumStat type="stdev">
        5074.421
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5276.706
      </sumStat>
      <txt>
        Fresh frozen and tinned goats and sheep meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3024" name="CMEAT" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="288" EndPos="296" width="9" RecSegNo="1"/>
      <labl>
        Cow meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="60" max="341400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2927
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2978.422
      </sumStat>
      <sumStat type="invd">
        812
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        760.578
      </sumStat>
      <sumStat type="min">
        34.472
      </sumStat>
      <sumStat type="max">
        38706.145
      </sumStat>
      <sumStat type="mean">
        1649.641
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1596.728
      </sumStat>
      <sumStat type="stdev">
        1812.111
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1795.262
      </sumStat>
      <txt>
        Fresh frozen and tinned cow meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3025" name="OMEAT" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="297" EndPos="303" width="7" RecSegNo="1"/>
      <labl>
        Other meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="180" max="2700"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        36
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        46.182
      </sumStat>
      <sumStat type="invd">
        3703
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3692.818
      </sumStat>
      <sumStat type="min">
        196.157
      </sumStat>
      <sumStat type="max">
        1389.145
      </sumStat>
      <sumStat type="mean">
        551.822
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        568.848
      </sumStat>
      <sumStat type="stdev">
        291.428
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        305.039
      </sumStat>
      <txt>
        Fresh frozen and tinned camel, rabbit, pork etc. meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3026" name="CHMEAT" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="304" EndPos="311" width="8" RecSegNo="1"/>
      <labl>
        Chicken meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="34212"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3616
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3613.602
      </sumStat>
      <sumStat type="invd">
        123
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        125.398
      </sumStat>
      <sumStat type="min">
        23.067
      </sumStat>
      <sumStat type="max">
        16479.288
      </sumStat>
      <sumStat type="mean">
        2597.353
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2477.469
      </sumStat>
      <sumStat type="stdev">
        1925.63
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1867.663
      </sumStat>
      <txt>
        Fresh frozen and tinned chicken, turkey, birds etc. meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3027" name="LMEAT" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="312" EndPos="319" width="8" RecSegNo="1"/>
      <labl>
        Luncheon and Tinned meat expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="30" max="12072"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        777
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        841.882
      </sumStat>
      <sumStat type="invd">
        2962
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2897.118
      </sumStat>
      <sumStat type="min">
        11.576
      </sumStat>
      <sumStat type="max">
        5766.667
      </sumStat>
      <sumStat type="mean">
        350.288
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        337.148
      </sumStat>
      <sumStat type="stdev">
        426.634
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        381.579
      </sumStat>
      <txt>
        Fresh and frozen luncheon, tinned and others meat
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3028" name="MEATOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="320" EndPos="327" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="120" max="42000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        72
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        74.794
      </sumStat>
      <sumStat type="invd">
        3667
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3664.206
      </sumStat>
      <sumStat type="min">
        186.467
      </sumStat>
      <sumStat type="max">
        26262.651
      </sumStat>
      <sumStat type="mean">
        1783.613
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1720.785
      </sumStat>
      <sumStat type="stdev">
        4096.564
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4453.107
      </sumStat>
      <txt>
        Expenses on own-Produced Meat and Poultry
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3029" name="FSHSEAEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="328" EndPos="334" width="7" RecSegNo="1"/>
      <labl>
        Expenses on purchased Fish and Seafood
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="9120"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2524
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2514.002
      </sumStat>
      <sumStat type="invd">
        1215
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1224.998
      </sumStat>
      <sumStat type="min">
        17.66
      </sumStat>
      <sumStat type="max">
        9160.953
      </sumStat>
      <sumStat type="mean">
        546.241
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        553.719
      </sumStat>
      <sumStat type="stdev">
        616.053
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        632.584
      </sumStat>
      <txt>
        Expenses on purchased Fish and Seafood
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=FISH+SEAF


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3030" name="FISH" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="335" EndPos="341" width="7" RecSegNo="1"/>
      <labl>
        Fish expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="6600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2522
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2511.941
      </sumStat>
      <sumStat type="invd">
        1217
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1227.059
      </sumStat>
      <sumStat type="min">
        17.66
      </sumStat>
      <sumStat type="max">
        9160.953
      </sumStat>
      <sumStat type="mean">
        539.798
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        545.651
      </sumStat>
      <sumStat type="stdev">
        593.467
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        605.752
      </sumStat>
      <txt>
        Fresh and frozen fish expenditures, Tuna, sardines and tinned fish also smoked, salted, dried and processed fish
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3031" name="SEAF" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="342" EndPos="348" width="7" RecSegNo="1"/>
      <labl>
        Seafood expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="120" max="2520"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        24
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        29.568
      </sumStat>
      <sumStat type="invd">
        3715
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3709.432
      </sumStat>
      <sumStat type="min">
        58.315
      </sumStat>
      <sumStat type="max">
        3017.442
      </sumStat>
      <sumStat type="mean">
        722.549
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        724.064
      </sumStat>
      <sumStat type="stdev">
        645.608
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        546.711
      </sumStat>
      <txt>
        Fresh, frozen and proceed seafood
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3032" name="FSHSEAOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="349" EndPos="355" width="7" 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>
      <valrng>
        <range UNITS="REAL" min="240" max="2160"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2.867
      </sumStat>
      <sumStat type="invd">
        3737
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3736.133
      </sumStat>
      <sumStat type="min">
        233.258
      </sumStat>
      <sumStat type="max">
        490.394
      </sumStat>
      <sumStat type="mean">
        361.826
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        338.265
      </sumStat>
      <sumStat type="stdev">
        181.822
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        156.621
      </sumStat>
      <txt>
        Expenses on own-Produced Fish and Seafood
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3033" name="MILK" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="364" EndPos="371" width="8" RecSegNo="1"/>
      <labl>
        Milk expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="19512"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        867
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        965.668
      </sumStat>
      <sumStat type="invd">
        2872
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2773.332
      </sumStat>
      <sumStat type="min">
        12.506
      </sumStat>
      <sumStat type="max">
        11146.052
      </sumStat>
      <sumStat type="mean">
        950.298
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        868.688
      </sumStat>
      <sumStat type="stdev">
        1066.145
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1064.828
      </sumStat>
      <txt>
        Fresh, powder, condensed and infant powder milk expenses
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3034" name="YOGH" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="372" EndPos="379" width="8" RecSegNo="1"/>
      <labl>
        Yogurt expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="16764"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3503
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3463.516
      </sumStat>
      <sumStat type="invd">
        236
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        275.484
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        12443.494
      </sumStat>
      <sumStat type="mean">
        630.116
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        571.805
      </sumStat>
      <sumStat type="stdev">
        674.517
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        669.28
      </sumStat>
      <txt>
        Yogurt liquid, tinned, paste etc. cream, milk based deserts, milk based beverages
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3035" name="CHES" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="380" EndPos="386" width="7" RecSegNo="1"/>
      <labl>
        Cheese expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="7992"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2674
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2833.348
      </sumStat>
      <sumStat type="invd">
        1065
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        905.652
      </sumStat>
      <sumStat type="min">
        11.533
      </sumStat>
      <sumStat type="max">
        27760.465
      </sumStat>
      <sumStat type="mean">
        553.474
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        509.062
      </sumStat>
      <sumStat type="stdev">
        936.526
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        909.182
      </sumStat>
      <txt>
        Processed, home made, tinned etc. cheese
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3036" name="EGG" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="387" EndPos="393" width="7" RecSegNo="1"/>
      <labl>
        Eggs expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="2112"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2788
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2875.307
      </sumStat>
      <sumStat type="invd">
        951
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        863.693
      </sumStat>
      <sumStat type="min">
        11.773
      </sumStat>
      <sumStat type="max">
        1801.293
      </sumStat>
      <sumStat type="mean">
        324.868
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        315.96
      </sumStat>
      <sumStat type="stdev">
        239.947
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        230.89
      </sumStat>
      <txt>
        Eggs and wholly made egg products
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3037" name="DAIRYEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="356" EndPos="363" width="8" RecSegNo="1"/>
      <labl>
        Expenses on purchased Dairy Products
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="18" max="23016"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3682
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3697.038
      </sumStat>
      <sumStat type="invd">
        57
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        41.962
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        29293.326
      </sumStat>
      <sumStat type="mean">
        1471.191
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1398.458
      </sumStat>
      <sumStat type="stdev">
        1405.416
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1385.2
      </sumStat>
      <txt>
        Expenses on purchased Dairy Products
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=MILK+YOGH+CHES+EGG


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3038" name="DAIRYOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="394" EndPos="401" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="12" max="12996"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        212
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        183.107
      </sumStat>
      <sumStat type="invd">
        3527
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3555.893
      </sumStat>
      <sumStat type="min">
        11.663
      </sumStat>
      <sumStat type="max">
        5202.07
      </sumStat>
      <sumStat type="mean">
        618.812
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        548.478
      </sumStat>
      <sumStat type="stdev">
        837.868
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        707.032
      </sumStat>
      <txt>
        Expenses on own-Produced Dairy Products
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3039" name="OILFATEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="402" EndPos="409" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="24" max="24060"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2633
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2752.241
      </sumStat>
      <sumStat type="invd">
        1106
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        986.759
      </sumStat>
      <sumStat type="min">
        11.576
      </sumStat>
      <sumStat type="max">
        23066.667
      </sumStat>
      <sumStat type="mean">
        772.362
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        746.042
      </sumStat>
      <sumStat type="stdev">
        1381.929
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1290.632
      </sumStat>
      <txt>
        Expenses on purchased Oil &amp; Fats
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=OOIL+OIL+BUT+FAT


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3040" name="OOIL" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="410" EndPos="417" width="8" RecSegNo="1"/>
      <labl>
        Olive oil expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="23700"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        424
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        486.817
      </sumStat>
      <sumStat type="invd">
        3315
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3252.183
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        23066.667
      </sumStat>
      <sumStat type="mean">
        1873.813
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1604.857
      </sumStat>
      <sumStat type="stdev">
        2806.613
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2520.08
      </sumStat>
      <txt>
        Olive oil
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3041" name="OIL" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="418" EndPos="424" width="7" RecSegNo="1"/>
      <labl>
        Other oils expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="30" max="4752"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2395
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2529.865
      </sumStat>
      <sumStat type="invd">
        1344
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1209.135
      </sumStat>
      <sumStat type="min">
        45.963
      </sumStat>
      <sumStat type="max">
        3376.627
      </sumStat>
      <sumStat type="mean">
        460.881
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        449.374
      </sumStat>
      <sumStat type="stdev">
        342.4
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        327.826
      </sumStat>
      <txt>
        Corn, sunflower, soya etc
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3042" name="BUT" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="425" EndPos="431" width="7" RecSegNo="1"/>
      <labl>
        Butter and margarine expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="1356"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        404
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        418.349
      </sumStat>
      <sumStat type="invd">
        3335
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3320.651
      </sumStat>
      <sumStat type="min">
        22.982
      </sumStat>
      <sumStat type="max">
        2219.031
      </sumStat>
      <sumStat type="mean">
        127.07
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        113.452
      </sumStat>
      <sumStat type="stdev">
        195.476
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        199.151
      </sumStat>
      <txt>
        Butter, margarine, ghee, ...
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3043" name="FAT" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="432" EndPos="438" width="7" RecSegNo="1"/>
      <labl>
        Fat expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="4200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        401
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        443.761
      </sumStat>
      <sumStat type="invd">
        3338
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3295.239
      </sumStat>
      <sumStat type="min">
        34.989
      </sumStat>
      <sumStat type="max">
        1267.976
      </sumStat>
      <sumStat type="mean">
        209.444
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        197.624
      </sumStat>
      <sumStat type="stdev">
        134.162
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        136.502
      </sumStat>
      <txt>
        Animal and vegetable fats and other edible
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Purchased only


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3044" name="OILFATOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="439" EndPos="446" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="42" max="14400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        826
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        509.074
      </sumStat>
      <sumStat type="invd">
        2913
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3229.926
      </sumStat>
      <sumStat type="min">
        57.881
      </sumStat>
      <sumStat type="max">
        6667.896
      </sumStat>
      <sumStat type="mean">
        1409.508
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1376.003
      </sumStat>
      <sumStat type="stdev">
        1107.304
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1105.951
      </sumStat>
      <txt>
        Expenses on own-Produced Oil &amp; Fats
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3045" name="FRUITEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="447" EndPos="454" width="8" RecSegNo="1"/>
      <labl>
        Fruits expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="26340"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3664
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3668.222
      </sumStat>
      <sumStat type="invd">
        75
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        70.778
      </sumStat>
      <sumStat type="min">
        6.216
      </sumStat>
      <sumStat type="max">
        14625.303
      </sumStat>
      <sumStat type="mean">
        1490.16
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1482.926
      </sumStat>
      <sumStat type="stdev">
        1308.475
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1339.997
      </sumStat>
      <txt>
        Fresh, chilled, frozen, and tinned fruits, nuts
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3046" name="FRUITOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="455" EndPos="462" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="12" max="14760"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        329
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        267.096
      </sumStat>
      <sumStat type="invd">
        3410
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3471.904
      </sumStat>
      <sumStat type="min">
        11.663
      </sumStat>
      <sumStat type="max">
        3322.417
      </sumStat>
      <sumStat type="mean">
        326.315
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        322.355
      </sumStat>
      <sumStat type="stdev">
        435.641
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        466.721
      </sumStat>
      <txt>
        Expenses on own-Produced Fruits
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3047" name="VEGEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="463" EndPos="470" width="8" RecSegNo="1"/>
      <labl>
        Vegetables expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="16284"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3716
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3722.17
      </sumStat>
      <sumStat type="invd">
        23
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        16.83
      </sumStat>
      <sumStat type="min">
        34.729
      </sumStat>
      <sumStat type="max">
        15451.904
      </sumStat>
      <sumStat type="mean">
        2491.896
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2445.144
      </sumStat>
      <sumStat type="stdev">
        1568.796
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1549.671
      </sumStat>
      <txt>
        Fresh, chilled, frozen, and tinned vegetables, garlic, processed and tuber vegetables like chips..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3048" name="VEGOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="471" EndPos="478" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="12" max="23028"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        301
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        247.154
      </sumStat>
      <sumStat type="invd">
        3438
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3491.846
      </sumStat>
      <sumStat type="min">
        11.533
      </sumStat>
      <sumStat type="max">
        4251.449
      </sumStat>
      <sumStat type="mean">
        378.791
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        435.278
      </sumStat>
      <sumStat type="stdev">
        576.221
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        627.816
      </sumStat>
      <txt>
        Expenses on own-Produced Vegetables
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3049" name="SUGAREXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="479" EndPos="486" width="8" RecSegNo="1"/>
      <labl>
        Expenses on sugar and jam expenditure
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="16800"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3511
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3547.408
      </sumStat>
      <sumStat type="invd">
        228
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        191.592
      </sumStat>
      <sumStat type="min">
        5.767
      </sumStat>
      <sumStat type="max">
        13019.953
      </sumStat>
      <sumStat type="mean">
        870.024
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        840.554
      </sumStat>
      <sumStat type="stdev">
        849.962
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        813.093
      </sumStat>
      <txt>
        Sugar, Halawa, Chocolate, Honey, Jam, Bonbon, etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3050" name="SUGAROWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="487" EndPos="490" 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">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3739
      </sumStat>
      <txt>
        Expenses on own-Produced Sugar and Jam
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3051" name="SPICEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="491" EndPos="497" width="7" RecSegNo="1"/>
      <labl>
        Spices expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="6972"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3281
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3339.449
      </sumStat>
      <sumStat type="invd">
        458
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        399.551
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        4719.279
      </sumStat>
      <sumStat type="mean">
        415.167
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        431.726
      </sumStat>
      <sumStat type="stdev">
        373.877
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        374.646
      </sumStat>
      <txt>
        Salt, black pepper, sauces, seasonings, vanilla etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3052" name="SPICOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="498" EndPos="504" width="7" 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>
      <valrng>
        <range UNITS="REAL" min="12" max="3780"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        343
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        225.038
      </sumStat>
      <sumStat type="invd">
        3396
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3513.962
      </sumStat>
      <sumStat type="min">
        11.576
      </sumStat>
      <sumStat type="max">
        2124.279
      </sumStat>
      <sumStat type="mean">
        249.948
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        253.089
      </sumStat>
      <sumStat type="stdev">
        220.962
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        216.081
      </sumStat>
      <txt>
        Expenses on Own-Produced Spices
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3053" name="BEVEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="505" EndPos="512" width="8" RecSegNo="1"/>
      <labl>
        Beverages expenditure
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="47430"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3697
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3703.493
      </sumStat>
      <sumStat type="invd">
        42
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        35.507
      </sumStat>
      <sumStat type="min">
        23.152
      </sumStat>
      <sumStat type="max">
        11708.15
      </sumStat>
      <sumStat type="mean">
        1483.711
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1367.535
      </sumStat>
      <sumStat type="stdev">
        1203.796
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1194.528
      </sumStat>
      <txt>
        Coffee, tea, water fruit end vegetable juices
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3054" name="BEVOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="513" EndPos="516" 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">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3739
      </sumStat>
      <txt>
        Expenses on own-Produced Beverages
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some surveys own-produced water may be for irrigation purposes


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3055" name="OTHFEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="517" EndPos="520" 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">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3739
      </sumStat>
      <txt>
        Includes all other purchased food items non-specified in the questionnaire
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3056" name="OTHFOWN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="521" EndPos="527" width="7" 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>
      <valrng>
        <range UNITS="REAL" min="12" max="8880"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        54
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        43.542
      </sumStat>
      <sumStat type="invd">
        3685
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3695.458
      </sumStat>
      <sumStat type="min">
        11.576
      </sumStat>
      <sumStat type="max">
        3620.93
      </sumStat>
      <sumStat type="mean">
        417.72
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        490.889
      </sumStat>
      <sumStat type="stdev">
        687.316
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        813.014
      </sumStat>
      <txt>
        Includes all other own produced food items non-specified in the questionnaire
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3057" name="TOTPFOOD" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="528" EndPos="536" 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="372" max="404268"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3731
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3732.808
      </sumStat>
      <sumStat type="invd">
        8
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6.192
      </sumStat>
      <sumStat type="min">
        306.102
      </sumStat>
      <sumStat type="max">
        122083.807
      </sumStat>
      <sumStat type="mean">
        14991.956
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        14614.528
      </sumStat>
      <sumStat type="stdev">
        9267.316
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        9377.063
      </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="V3058" name="TOTOWNP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="537" EndPos="544" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="12" max="43104"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1198
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        865.778
      </sumStat>
      <sumStat type="invd">
        2541
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2873.222
      </sumStat>
      <sumStat type="min">
        11.663
      </sumStat>
      <sumStat type="max">
        26612.819
      </sumStat>
      <sumStat type="mean">
        1468.098
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1391.646
      </sumStat>
      <sumStat type="stdev">
        1681.535
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1868.664
      </sumStat>
      <txt>
        Food and beverage own produced products, consumed or given away
      </txt>
      <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="V3059" name="TOTGIKD" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="545" EndPos="548" 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">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3739
      </sumStat>
      <txt>
        Food and beverage products received from other households
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, this category may be aggregated with purchased food or own produced food


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3060" name="ALCOEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="549" EndPos="556" width="8" RecSegNo="1"/>
      <labl>
        Expenses on alcohol and tobacco
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="36" max="43200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2025
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1917.381
      </sumStat>
      <sumStat type="invd">
        1714
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1821.619
      </sumStat>
      <sumStat type="min">
        23.326
      </sumStat>
      <sumStat type="max">
        57210.698
      </sumStat>
      <sumStat type="mean">
        6146.214
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6077.899
      </sumStat>
      <sumStat type="stdev">
        6081.714
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        6201.469
      </sumStat>
      <txt>
        Expenses on alcoholic beverages, tobacco, and narcotics. Ideally, corresponds to Code 02 of the COICOP classification (SUM of 02).
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ALC+TOB


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3061" name="ALC" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="557" EndPos="563" width="7" RecSegNo="1"/>
      <labl>
        Alcoholic expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="72" max="7236"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        9
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8.674
      </sumStat>
      <sumStat type="invd">
        3730
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3730.326
      </sumStat>
      <sumStat type="min">
        225.108
      </sumStat>
      <sumStat type="max">
        6253.012
      </sumStat>
      <sumStat type="mean">
        1692.252
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2210.868
      </sumStat>
      <sumStat type="stdev">
        2072.651
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2504.343
      </sumStat>
      <txt>
        Expenses on alcoholic beverages, spirits, wine, beer..
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3062" name="TOB" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="564" EndPos="571" width="8" RecSegNo="1"/>
      <labl>
        Tobacco expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="36" max="43200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2023
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1914.916
      </sumStat>
      <sumStat type="invd">
        1716
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1824.084
      </sumStat>
      <sumStat type="min">
        23.326
      </sumStat>
      <sumStat type="max">
        57210.698
      </sumStat>
      <sumStat type="mean">
        6144.762
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6075.705
      </sumStat>
      <sumStat type="stdev">
        6066.602
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        6168.789
      </sumStat>
      <txt>
        Expenses on tobacco, cigarettes, etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3063" name="APPEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="572" EndPos="580" width="9" 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="6" max="130476"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2685
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2693.213
      </sumStat>
      <sumStat type="invd">
        1054
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1045.787
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        53317.196
      </sumStat>
      <sumStat type="mean">
        4270.792
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        4085.444
      </sumStat>
      <sumStat type="stdev">
        5026.061
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5022.819
      </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="V3064" name="CLOTH" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="581" EndPos="588" width="8" RecSegNo="1"/>
      <labl>
        Clothes for men, women and children expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="89100"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2454
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2441.066
      </sumStat>
      <sumStat type="invd">
        1285
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1297.934
      </sumStat>
      <sumStat type="min">
        23.067
      </sumStat>
      <sumStat type="max">
        42745.683
      </sumStat>
      <sumStat type="mean">
        3526.87
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3397.301
      </sumStat>
      <sumStat type="stdev">
        4143.839
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4185.587
      </sumStat>
      <txt>
        Garments, dresses, shirts, blouse, capes, coats for men, women and children. Excluding school clothes and uniforms
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some countries, we have observations on own-produced clothes, but since these are very small amounts, they are lumped with purchased


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3065" name="MCLO" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="589" EndPos="595" width="7" RecSegNo="1"/>
      <labl>
        Clothing material expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="4320"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        113
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        115.15
      </sumStat>
      <sumStat type="invd">
        3626
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3623.85
      </sumStat>
      <sumStat type="min">
        6.142
      </sumStat>
      <sumStat type="max">
        5305.333
      </sumStat>
      <sumStat type="mean">
        490.144
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        408.955
      </sumStat>
      <sumStat type="stdev">
        954.501
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        872.016
      </sumStat>
      <txt>
        Clothing material of all kind of fibers, tailoring and accessories
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3066" name="CHAR" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="596" EndPos="603" width="8" RecSegNo="1"/>
      <labl>
        Tailoring charges expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="84000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        332
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        342.308
      </sumStat>
      <sumStat type="invd">
        3407
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3396.692
      </sumStat>
      <sumStat type="min">
        11.663
      </sumStat>
      <sumStat type="max">
        9655.814
      </sumStat>
      <sumStat type="mean">
        501.224
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        528.373
      </sumStat>
      <sumStat type="stdev">
        958.889
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        904.22
      </sumStat>
      <txt>
        All tailoring, cleaning, repairing charges of clothes
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3067" name="FOOTW" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="604" EndPos="611" width="8" RecSegNo="1"/>
      <labl>
        Footwear expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="18840"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1854
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1857.804
      </sumStat>
      <sumStat type="invd">
        1885
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1881.196
      </sumStat>
      <sumStat type="min">
        23.067
      </sumStat>
      <sumStat type="max">
        11255.422
      </sumStat>
      <sumStat type="mean">
        1397.165
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1335.973
      </sumStat>
      <sumStat type="stdev">
        1448.111
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1442.631
      </sumStat>
      <txt>
        Shoes, sandals, boots and slipper for men and women, excluding those for school
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes repairing and hire charges


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3068" name="SCHCLTH" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="612" EndPos="618" width="7" RecSegNo="1"/>
      <labl>
        School Clothes, Uniforms and Footwear expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="4800"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3739
      </sumStat>
      <txt>
        School Clothes, Uniforms and Footwear expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3069" name="HOUSEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="619" EndPos="627" 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="817.2" max="120864"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <sumStat type="min">
        1200
      </sumStat>
      <sumStat type="max">
        125788.104
      </sumStat>
      <sumStat type="mean">
        13534.352
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        13912.267
      </sumStat>
      <sumStat type="stdev">
        7909.778
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        8645.008
      </sumStat>
      <txt>
        Expenses on housing (actual and imputed rentals and maintenance and repair of the dwelling), water (water supply and miscellaneous services relating to the dwelling), electricity, gas and other fuels. Renovation costs as well as expenditure on furniture are excluded, as well as expenditure on mortgage (both the capital and interest part). Ideally, corresponds to Code 04 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ARHOUS+IMPREN+REPDW+WDWE+EDWE


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3070" name="ARHOUS" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="628" EndPos="635" 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="180.72" max="35119.92"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        262
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        291.503
      </sumStat>
      <sumStat type="invd">
        3477
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3447.497
      </sumStat>
      <sumStat type="min">
        300
      </sumStat>
      <sumStat type="max">
        48000
      </sumStat>
      <sumStat type="mean">
        9059.611
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        9728.141
      </sumStat>
      <sumStat type="stdev">
        7166.258
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7664.945
      </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
----------------------------------
Actual and Imputed rent amounts are computed from household data (H7, H8) and rents paid in Jordanian Dinar or US Dollars were converted to NIS using the 2011 average yearly currency transfer rate.
Source: www.oanda.com]]>
      </notes>
    </var>
    <var ID="V3071" name="IMPREN" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="636" EndPos="644" width="9" RecSegNo="1"/>
      <labl>
        Imputed rentals for housing expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="111384"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3474
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3445.954
      </sumStat>
      <sumStat type="invd">
        265
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        293.046
      </sumStat>
      <sumStat type="min">
        1200
      </sumStat>
      <sumStat type="max">
        120000
      </sumStat>
      <sumStat type="mean">
        9083.482
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        9575.938
      </sumStat>
      <sumStat type="stdev">
        6371.219
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7151.578
      </sumStat>
      <txt>
        Imputed rentals of owners occupying their main residence and other imputed rentals
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes also imputed rentals for secondary residences and imputed rentals of households paying a reduced rental or housed free.


COUNTRY SPECIFIC NOTES
----------------------------------
Actual and Imputed rent amounts are computed from household data (H7, H8) and rents paid in Jordanian Dinar or US Dollars were converted to NIS using the 2011 average yearly currency transfer rate.
Source: www.oanda.com]]>
      </notes>
    </var>
    <var ID="V3072" name="REPDW" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="645" EndPos="652" width="8" RecSegNo="1"/>
      <labl>
        Maintenance and repair for the Dwelling expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="36000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        332
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        349.287
      </sumStat>
      <sumStat type="invd">
        3407
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3389.713
      </sumStat>
      <sumStat type="min">
        24.862
      </sumStat>
      <sumStat type="max">
        104414.201
      </sumStat>
      <sumStat type="mean">
        2983.37
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2995.983
      </sumStat>
      <sumStat type="stdev">
        8267.24
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7787.43
      </sumStat>
      <txt>
        Materials and services for the maintenance and repair of the dwelling
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Only expenditures which tenants and owner-occupiers incur on materials and services for minor maintenance and repair are part of individual consumption expenditure of households. Renovation costs as well as expenditure on materials and services for major maintenance and repair are excluded, as well as expenditure on mortgage (both the capital and interest part). 
Considered as expenses on non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3073" name="WDWE" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="653" EndPos="659" width="7" RecSegNo="1"/>
      <labl>
        Water supply and miscellaneous services relating to the dwelling expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="8640"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3632
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3627.906
      </sumStat>
      <sumStat type="invd">
        107
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        111.094
      </sumStat>
      <sumStat type="min">
        25.012
      </sumStat>
      <sumStat type="max">
        12505.039
      </sumStat>
      <sumStat type="mean">
        1127.671
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1133.914
      </sumStat>
      <sumStat type="stdev">
        813.187
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        826.063
      </sumStat>
      <txt>
        Water supply, refuse collection, sewage collection and others
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Includes also co-proprietor charges for caretaking, gardening, heating and lighting, etc. in multi-occupied buildings; security services


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3074" name="EDWE" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="660" EndPos="667" width="8" RecSegNo="1"/>
      <labl>
        Electricity, gas and other fuels expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="162" max="25320"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3700
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3695.914
      </sumStat>
      <sumStat type="invd">
        39
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        43.086
      </sumStat>
      <sumStat type="min">
        12.07
      </sumStat>
      <sumStat type="max">
        25892.787
      </sumStat>
      <sumStat type="mean">
        3121.223
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2976.877
      </sumStat>
      <sumStat type="stdev">
        2003.071
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1919.46
      </sumStat>
      <txt>
        Electricity, Gas, Liquid and solid fuels, Heat energy
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3075" name="EQUIPEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="668" EndPos="676" width="9" RecSegNo="1"/>
      <labl>
        Expenses on furniture &amp; housing equipment
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="101952"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3522
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3520.618
      </sumStat>
      <sumStat type="invd">
        217
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        218.382
      </sumStat>
      <sumStat type="min">
        23.326
      </sumStat>
      <sumStat type="max">
        55614.289
      </sumStat>
      <sumStat type="mean">
        2536.816
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2355.783
      </sumStat>
      <sumStat type="stdev">
        4313.833
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4062.762
      </sumStat>
      <txt>
        Expenses on furnishings (furniture and furnishings, carpets and other floor coverings), household equipment (household textiles, household appliances, glassware, tableware and household utensils, tools and equipment for house and garden) and goods and services for routine household maintenance. Ideally, corresponds to Code 05 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=HSFUR+FURREP+HSTEX+MHAPL+SHAPL+RAPPL+HUST+MHOPE+SHOPE+HSGS


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3076" name="HSFUR" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="677" EndPos="684" width="8" RecSegNo="1"/>
      <labl>
        Housing furnishings and furniture expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5" max="58460"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1243
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1171.032
      </sumStat>
      <sumStat type="invd">
        2496
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2567.968
      </sumStat>
      <sumStat type="min">
        5.029
      </sumStat>
      <sumStat type="max">
        46921.221
      </sumStat>
      <sumStat type="mean">
        2644.074
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2579.825
      </sumStat>
      <sumStat type="stdev">
        4822.055
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4690.695
      </sumStat>
      <txt>
        Furniture and furnishings, carpets and other floor coverings
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Beds, sofas, couches, tables, chairs, etc., lighting equipment, pictures, sculptures, screens, loose and fitted carpets, etc.
Durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3077" name="FURREP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="685" EndPos="691" width="7" RecSegNo="1"/>
      <labl>
        Housing furnishings and furniture repair expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5" max="4000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        69
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        89.793
      </sumStat>
      <sumStat type="invd">
        3670
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3649.207
      </sumStat>
      <sumStat type="min">
        2.012
      </sumStat>
      <sumStat type="max">
        3114
      </sumStat>
      <sumStat type="mean">
        616.729
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        622.75
      </sumStat>
      <sumStat type="stdev">
        831.128
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        864.486
      </sumStat>
      <txt>
        Furniture and furnishings repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable includes repair of furniture and furnishings
Non-Durable

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3078" name="HSTEX" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="692" EndPos="699" width="8" RecSegNo="1"/>
      <labl>
        Household textiles expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="51600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        398
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        342.748
      </sumStat>
      <sumStat type="invd">
        3341
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3396.252
      </sumStat>
      <sumStat type="min">
        24.568
      </sumStat>
      <sumStat type="max">
        36779.528
      </sumStat>
      <sumStat type="mean">
        1527.885
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1465.335
      </sumStat>
      <sumStat type="stdev">
        3212.623
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2894.997
      </sumStat>
      <txt>
        Furnishing fabrics, bedding, bed linen table linen and bathroom linen and repair of such articles.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Non durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3079" name="MHAPL" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="700" EndPos="707" width="8" RecSegNo="1"/>
      <labl>
        Major Household appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="4.7" max="33500"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1245.993
      </sumStat>
      <sumStat type="invd">
        2426
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2493.007
      </sumStat>
      <sumStat type="min">
        9.719
      </sumStat>
      <sumStat type="max">
        16716.854
      </sumStat>
      <sumStat type="mean">
        1496.376
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1417.694
      </sumStat>
      <sumStat type="stdev">
        1933.908
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1897.333
      </sumStat>
      <txt>
        Major household appliances whether electric or not
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Refrigerators, freezers and fridge-freezers;
- washing machines, dryers, drying cabinets, dishwashers, ironing and pressing machines;
- cookers, spit roasters, hobs, ranges, ovens and microwave ovens;
- air-conditioners, humidifiers, space heaters, water heaters, ventilators and extractor hoods;
- vacuum cleaners, steam-cleaning machines, carpet shampooing machines and machines for scrubbing, waxing and polishing floors;
- other major household appliances such as safes, sewing machines, knitting machines, water softeners, etc.
Includes: delivery and installation of the appliances when applicable.
Excludes: such appliances that are built into the structure of the building 
Considered as expenses on durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3080" name="SHAPL" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="708" EndPos="714" width="7" RecSegNo="1"/>
      <labl>
        Small Household appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="5000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        681
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        648.438
      </sumStat>
      <sumStat type="invd">
        3058
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3090.562
      </sumStat>
      <sumStat type="min">
        6.035
      </sumStat>
      <sumStat type="max">
        12256.827
      </sumStat>
      <sumStat type="mean">
        332.888
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        358.416
      </sumStat>
      <sumStat type="stdev">
        566.619
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        646.724
      </sumStat>
      <txt>
        Small electric appliances
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Coffee mills, coffee-makers, juice extractors, can-openers, food mixers, deep fryers, meat grills, knives, toasters, ice cream makers, hotplates, irons, electric blankets, etc. 
Excludes: small non-electric household articles and kitchen utensils etc.
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3081" name="RAPPL" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="715" EndPos="721" width="7" RecSegNo="1"/>
      <labl>
        Repair of appliances expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="1650"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        519
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        762.687
      </sumStat>
      <sumStat type="invd">
        3220
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2976.313
      </sumStat>
      <sumStat type="min">
        3.114
      </sumStat>
      <sumStat type="max">
        1214.888
      </sumStat>
      <sumStat type="mean">
        125.46
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        114.887
      </sumStat>
      <sumStat type="stdev">
        136.993
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        125.143
      </sumStat>
      <txt>
        Repair of appliances expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Total value of the service (that is, both the cost of labour and the cost of materials are covered); charges for the leasing or rental of major household appliances.
Excludes: separate purchases of materials made by households with the intention of undertaking the repair themselves 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3082" name="HUST" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="722" EndPos="729" width="8" RecSegNo="1"/>
      <labl>
        Glassware, tableware and household utensils expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="21420"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        509
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        490.153
      </sumStat>
      <sumStat type="invd">
        3230
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3248.847
      </sumStat>
      <sumStat type="min">
        6.142
      </sumStat>
      <sumStat type="max">
        3562.367
      </sumStat>
      <sumStat type="mean">
        307.924
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        274.565
      </sumStat>
      <sumStat type="stdev">
        376.777
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        320.823
      </sumStat>
      <txt>
        Glassware, crystal and ceramic ware, non-electric kitchen utensils etc. and their repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3083" name="MHOPE" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="730" EndPos="733" 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">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3739
      </sumStat>
      <txt>
        Major tools and equipment for house and garden,
      </txt>
      <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="V3084" name="SHOPE" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="734" EndPos="740" width="7" RecSegNo="1"/>
      <labl>
        Small other housing equipment and operation expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="7200"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        837
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        844.551
      </sumStat>
      <sumStat type="invd">
        2902
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2894.449
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        6375.118
      </sumStat>
      <sumStat type="mean">
        337.765
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        320.333
      </sumStat>
      <sumStat type="stdev">
        633.491
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        641.971
      </sumStat>
      <txt>
        Small tools and miscellaneous accessories
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Hand tools, garden tools, small electric accessories and their repair 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3085" name="HSGS" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="741" EndPos="748" width="8" RecSegNo="1"/>
      <labl>
        Goods and services for routine household maintenance expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="28056"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3292
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3288.029
      </sumStat>
      <sumStat type="invd">
        447
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        450.971
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        13522.606
      </sumStat>
      <sumStat type="mean">
        699.099
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        676.091
      </sumStat>
      <sumStat type="stdev">
        721.131
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        764.266
      </sumStat>
      <txt>
        Non-durable household goods and domestic services
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 Cleaning products such as soaps, washing powder etc. 
Domestic & cleaning services such as cooks, maids, drivers, gardeners, dry clean etc. 
Non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3086" name="MEDEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="749" EndPos="757" width="9" RecSegNo="1"/>
      <labl>
        Expenses on health
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="604932"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2706.145
      </sumStat>
      <sumStat type="invd">
        1000
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1032.855
      </sumStat>
      <sumStat type="min">
        6.253
      </sumStat>
      <sumStat type="max">
        97136.91
      </sumStat>
      <sumStat type="mean">
        3003.871
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2886.7
      </sumStat>
      <sumStat type="stdev">
        5450.776
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5135.531
      </sumStat>
      <txt>
        Expenses on health, including medical products, appliances and equipment, outpatient services, and hospital services. Payments for health insurances are excluded. Ideally, corresponds to Code 06 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=PMEDP+TAEQ+MEDSERV+MEDABR


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3087" name="PMEDP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="758" EndPos="765" width="8" RecSegNo="1"/>
      <labl>
        Pharmaceutical and other medical products expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="85020"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2517
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2475.162
      </sumStat>
      <sumStat type="invd">
        1222
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1263.838
      </sumStat>
      <sumStat type="min">
        6.253
      </sumStat>
      <sumStat type="max">
        26066.698
      </sumStat>
      <sumStat type="mean">
        1564.949
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1616.086
      </sumStat>
      <sumStat type="stdev">
        2073.11
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2413.29
      </sumStat>
      <txt>
        Medicinal preparations, drugs, vaccines, vitamins etc. and clinical thermometers, adhesive etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
They are intended for consumption or use outside a health facility or institution. 
non-durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3088" name="TAEQ" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="766" EndPos="773" width="8" RecSegNo="1"/>
      <labl>
        Therapeutic appliances and equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="96" max="18000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        45
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        43.58
      </sumStat>
      <sumStat type="invd">
        3694
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3695.42
      </sumStat>
      <sumStat type="min">
        116.629
      </sumStat>
      <sumStat type="max">
        11828.372
      </sumStat>
      <sumStat type="mean">
        2651.835
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3176.964
      </sumStat>
      <sumStat type="stdev">
        2208.353
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2832.211
      </sumStat>
      <txt>
        Corrective eyeglasses and contact lenses, hearing aids, glass eyes, artificial limbs and other prosthetic devices, orthopedic braces and supports, orthopedic footwear, surgical belts, trusses and supports, neck braces, medical massage equipment and health lamps, powered and unpowered wheelchairs and invalid carriages, "special" beds, crutches, electronic and other devices for monitoring blood pressure, etc.;
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
They are intended for consumption or use outside a health facility or institution. 
durables


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3089" name="MEDSERV" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="774" EndPos="782" width="9" RecSegNo="1"/>
      <labl>
        Outpatient and Hospital services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="604560"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1656
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1563.375
      </sumStat>
      <sumStat type="invd">
        2083
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2175.625
      </sumStat>
      <sumStat type="min">
        11.773
      </sumStat>
      <sumStat type="max">
        91368.862
      </sumStat>
      <sumStat type="mean">
        2357.099
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2249.814
      </sumStat>
      <sumStat type="stdev">
        5420.749
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5047.418
      </sumStat>
      <txt>
        <![CDATA[Medical, dental and paramedical services delivered to outpatients by medical, dental and paramedical practitioners and auxiliaries.
Services of general and specialist hospitals, the services of medical centers, maternity centers, nursing homes and convalescent homes which chiefly provide in-patient health care, the services of institutions serving old people in which medical monitoring is an essential component and the services of rehabilitation centers providing in-patient health care and rehabilitative therapy where the objective is to treat the patient rather than to provide long-term support]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The services may be delivered at home, in individual or group consulting facilities, dispensaries or the outpatient clinics of hospitals and the like.
Hospital day-care and home-based hospital treatment are included as are hospices for terminally ill persons.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3090" name="MEDABR" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="783" EndPos="791" width="9" RecSegNo="1"/>
      <labl>
        Expenses on medical services Abroad
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="163" max="520192"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        22
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        14.47
      </sumStat>
      <sumStat type="invd">
        3717
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3724.53
      </sumStat>
      <sumStat type="min">
        716.568
      </sumStat>
      <sumStat type="max">
        31381.395
      </sumStat>
      <sumStat type="mean">
        12088.081
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        10780.666
      </sumStat>
      <sumStat type="stdev">
        10105.302
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        9002.129
      </sumStat>
      <txt>
        Includes all expenses on trips for medical/therapy purposes other than those spent on transportation or accommodation
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3091" name="TRANEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="792" EndPos="800" width="9" 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="24" max="635316"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3545
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3559.775
      </sumStat>
      <sumStat type="invd">
        194
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        179.225
      </sumStat>
      <sumStat type="min">
        23.152
      </sumStat>
      <sumStat type="max">
        130837.842
      </sumStat>
      <sumStat type="mean">
        9208.218
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        8164.29
      </sumStat>
      <sumStat type="stdev">
        13525.318
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        12833.125
      </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="V3092" name="TRVEH" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="801" EndPos="809" width="9" RecSegNo="1"/>
      <labl>
        Purchase of transportation vehicles expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="630000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        731
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        639.766
      </sumStat>
      <sumStat type="invd">
        3008
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3099.234
      </sumStat>
      <sumStat type="min">
        0.972
      </sumStat>
      <sumStat type="max">
        112546.468
      </sumStat>
      <sumStat type="mean">
        15205.731
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        14787.696
      </sumStat>
      <sumStat type="stdev">
        15605.701
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        15888.108
      </sumStat>
      <txt>
        Purchase of car, bicycles and animal trucked vehicles
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Excludes purchases of recreational vehicles such as camper vans, caravans, trailers, and boats 
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3093" name="OTEQ" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="810" EndPos="817" width="8" RecSegNo="1"/>
      <labl>
        Operation of personal transport equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="89796"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1309
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1209.135
      </sumStat>
      <sumStat type="invd">
        2430
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2529.865
      </sumStat>
      <sumStat type="min">
        23.326
      </sumStat>
      <sumStat type="max">
        99509.6
      </sumStat>
      <sumStat type="mean">
        8158.093
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        8215.747
      </sumStat>
      <sumStat type="stdev">
        7834.786
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7677.779
      </sumStat>
      <txt>
        Fuels, petrol and purchases of spare parts, accessories or lubricants made by households with the intention of undertaking the maintenance, repair or intervention and services paid to enterprise for carrying out the maintenance, repair or fitting
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3094" name="TRSERV" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="818" EndPos="826" width="9" RecSegNo="1"/>
      <labl>
        Transportation services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="172044"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3255
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3291.394
      </sumStat>
      <sumStat type="invd">
        484
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        447.606
      </sumStat>
      <sumStat type="min">
        23.067
      </sumStat>
      <sumStat type="max">
        46822.104
      </sumStat>
      <sumStat type="mean">
        3332.965
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2937.486
      </sumStat>
      <sumStat type="stdev">
        4199.12
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3843.086
      </sumStat>
      <txt>
        Transportation by railway, road, air, sea and any other than school transport services
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Ambulance services are excluded 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3095" name="SCHSERV" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="827" EndPos="834" width="8" RecSegNo="1"/>
      <labl>
        School Transportation services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="22920"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3739
      </sumStat>
      <txt>
        School Transportation services expenditures
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some surveys, expenses on school transportation services might be lumped with transport services or education expenditures, in that case the variable would be missing


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3096" name="COMMEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="835" EndPos="842" width="8" 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="15" max="41852"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3390
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3283.7
      </sumStat>
      <sumStat type="invd">
        349
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        455.3
      </sumStat>
      <sumStat type="min">
        12.284
      </sumStat>
      <sumStat type="max">
        20964.331
      </sumStat>
      <sumStat type="mean">
        1967.063
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1859.93
      </sumStat>
      <sumStat type="stdev">
        1671.373
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1654.81
      </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="V3097" name="PTTSERV" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="843" EndPos="850" width="8" RecSegNo="1"/>
      <labl>
        Postal telephone and telefax services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="108" max="39852"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3380
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3269.359
      </sumStat>
      <sumStat type="invd">
        359
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        469.641
      </sumStat>
      <sumStat type="min">
        12.284
      </sumStat>
      <sumStat type="max">
        20964.331
      </sumStat>
      <sumStat type="mean">
        1947.713
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1841.407
      </sumStat>
      <sumStat type="stdev">
        1654.571
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1630.195
      </sumStat>
      <txt>
        Installation and subscription costs of personal telephone equipment; telephone calls etc. delivery of letters etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3098" name="TTEQP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="851" EndPos="857" width="7" RecSegNo="1"/>
      <labl>
        Telephone and telefax equipment expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15" max="9500"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        162
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        165.109
      </sumStat>
      <sumStat type="invd">
        3577
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3573.891
      </sumStat>
      <sumStat type="min">
        14.579
      </sumStat>
      <sumStat type="max">
        4377.108
      </sumStat>
      <sumStat type="mean">
        525.141
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        528.323
      </sumStat>
      <sumStat type="stdev">
        761.298
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        827.337
      </sumStat>
      <txt>
        Purchases of telephones, telefax machines, etc. and their repair
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3099" name="CULTEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="858" EndPos="865" 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="3" max="89532"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2290
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2309.149
      </sumStat>
      <sumStat type="invd">
        1449
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1429.851
      </sumStat>
      <sumStat type="min">
        4.823
      </sumStat>
      <sumStat type="max">
        77027.125
      </sumStat>
      <sumStat type="mean">
        1869.221
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1691.171
      </sumStat>
      <sumStat type="stdev">
        3443.807
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3306.48
      </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="V3100" name="CULDUR" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="866" EndPos="873" width="8" RecSegNo="1"/>
      <labl>
        Durables for recreation and culture expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="3" max="10950"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1076
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1030.219
      </sumStat>
      <sumStat type="invd">
        2663
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2708.781
      </sumStat>
      <sumStat type="min">
        4.86
      </sumStat>
      <sumStat type="max">
        30174.419
      </sumStat>
      <sumStat type="mean">
        1166.172
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1140.712
      </sumStat>
      <sumStat type="stdev">
        1564.095
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1925.656
      </sumStat>
      <txt>
        Audio-visual, photographic and information processing equipment, Camper vans, boats, horse and pony etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Durable


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3101" name="CULEQP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="874" EndPos="881" width="8" RecSegNo="1"/>
      <labl>
        Recreation and cultural equipments expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5" max="30000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        899
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        910.353
      </sumStat>
      <sumStat type="invd">
        2840
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2828.647
      </sumStat>
      <sumStat type="min">
        4.823
      </sumStat>
      <sumStat type="max">
        16169.733
      </sumStat>
      <sumStat type="mean">
        426.581
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        417.983
      </sumStat>
      <sumStat type="stdev">
        957.99
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        925.842
      </sumStat>
      <txt>
        Games, toys and hobbies , Equipment for sport, camping and open-air recreation etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3102" name="CULSER" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="882" EndPos="889" width="8" RecSegNo="1"/>
      <labl>
        Recreation and culture services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="88810"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1329
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1376.654
      </sumStat>
      <sumStat type="invd">
        2410
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2362.346
      </sumStat>
      <sumStat type="min">
        5.745
      </sumStat>
      <sumStat type="max">
        72351.301
      </sumStat>
      <sumStat type="mean">
        1961.056
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1671.525
      </sumStat>
      <sumStat type="stdev">
        3957.108
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        3710.465
      </sumStat>
      <txt>
        cinemas, theatres, opera houses games, Newspapers, books and stationery, etc. holidays or tours which provide for travel, food, accommodation, guides
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Excluding school books and stationary


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3103" name="SCHCUL" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="890" EndPos="896" width="7" RecSegNo="1"/>
      <labl>
        School recreation and culture services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="9960"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        103
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        114.098
      </sumStat>
      <sumStat type="invd">
        3636
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3624.902
      </sumStat>
      <sumStat type="min">
        11.491
      </sumStat>
      <sumStat type="max">
        2836.171
      </sumStat>
      <sumStat type="mean">
        349.274
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        423.843
      </sumStat>
      <sumStat type="stdev">
        439.402
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        564.763
      </sumStat>
      <txt>
        School books and stationery, etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3104" name="EDUCEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="897" EndPos="904" 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="5" max="89034"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2576
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2602.066
      </sumStat>
      <sumStat type="invd">
        1163
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1136.934
      </sumStat>
      <sumStat type="min">
        1.929
      </sumStat>
      <sumStat type="max">
        244909.639
      </sumStat>
      <sumStat type="mean">
        2968.861
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2945.675
      </sumStat>
      <sumStat type="stdev">
        7547.005
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        8940.218
      </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="V3105" name="PREDUC" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="905" EndPos="912" width="8" RecSegNo="1"/>
      <labl>
        Expenses on pre-primary and primary education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="38850"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1884
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1843.745
      </sumStat>
      <sumStat type="invd">
        1855
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1895.255
      </sumStat>
      <sumStat type="min">
        19.222
      </sumStat>
      <sumStat type="max">
        17267.844
      </sumStat>
      <sumStat type="mean">
        827.919
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        866.577
      </sumStat>
      <sumStat type="stdev">
        1763.872
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1829.02
      </sumStat>
      <txt>
        Includes also expenses on literacy programs for students too old for primary school, including private tutoring and tutoring groups
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3106" name="SEDUC" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="913" EndPos="920" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="3" max="21636"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        714
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        668.711
      </sumStat>
      <sumStat type="invd">
        3025
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3070.289
      </sumStat>
      <sumStat type="min">
        23.939
      </sumStat>
      <sumStat type="max">
        33514.76
      </sumStat>
      <sumStat type="mean">
        438.167
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        577.157
      </sumStat>
      <sumStat type="stdev">
        2067.096
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2444.691
      </sumStat>
      <txt>
        Includes also out-of-school secondary education for adults and young people, private tutoring and tutoring groups
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3107" name="TEDUC" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="921" EndPos="928" width="8" RecSegNo="1"/>
      <labl>
        Expenses on tertiary education
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="121" max="55000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        752
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714.52
      </sumStat>
      <sumStat type="invd">
        2987
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3024.48
      </sumStat>
      <sumStat type="min">
        30.71
      </sumStat>
      <sumStat type="max">
        220939.759
      </sumStat>
      <sumStat type="mean">
        7191.949
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        7550.562
      </sumStat>
      <sumStat type="stdev">
        11275.295
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        14185.058
      </sumStat>
      <txt>
        Expenses on first and second stage of tertiary education, including private tutoring and tutoring groups
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3108" name="OEDUC" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="929" EndPos="936" width="8" RecSegNo="1"/>
      <labl>
        Expenses on education not defined by level
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="16366"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1595
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1622.693
      </sumStat>
      <sumStat type="invd">
        2144
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2116.307
      </sumStat>
      <sumStat type="min">
        0.958
      </sumStat>
      <sumStat type="max">
        14716.446
      </sumStat>
      <sumStat type="mean">
        178.423
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        133.829
      </sumStat>
      <sumStat type="stdev">
        535.68
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        387.312
      </sumStat>
      <txt>
        Educational programs, generally for adults, which do not require any special prior instruction, in particular vocational training and cultural development.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3109" name="EDUCABR" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="937" EndPos="944" width="8" RecSegNo="1"/>
      <labl>
        Expenses on education Abroad
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1056" max="75300"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        16
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        16.368
      </sumStat>
      <sumStat type="invd">
        3723
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3722.632
      </sumStat>
      <sumStat type="min">
        1477.303
      </sumStat>
      <sumStat type="max">
        31015.44
      </sumStat>
      <sumStat type="mean">
        5137.833
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        4212.637
      </sumStat>
      <sumStat type="stdev">
        7020.284
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4785.562
      </sumStat>
      <txt>
        Includes all expenses on trips for education purposes other than those spent on transportation or accommodation
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3110" name="RESTOEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="945" EndPos="952" width="8" RecSegNo="1"/>
      <labl>
        Expenses on restaurants and hotels
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="62748"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3348
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3329.088
      </sumStat>
      <sumStat type="invd">
        391
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        409.912
      </sumStat>
      <sumStat type="min">
        6.035
      </sumStat>
      <sumStat type="max">
        60303.449
      </sumStat>
      <sumStat type="mean">
        1874.172
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1701.919
      </sumStat>
      <sumStat type="stdev">
        2878.58
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2681.838
      </sumStat>
      <txt>
        Expenses on restaurants (catering services) and hotels (accommodation services). Ideally, corresponds to Code 11 of the COICOP classification.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=CATSERV+SCHRST+ACCOM


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3111" name="CATSER" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="953" EndPos="960" width="8" RecSegNo="1"/>
      <labl>
        Catering services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="6" max="62748"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3343
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3325.285
      </sumStat>
      <sumStat type="invd">
        396
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        413.715
      </sumStat>
      <sumStat type="min">
        6.035
      </sumStat>
      <sumStat type="max">
        60303.449
      </sumStat>
      <sumStat type="mean">
        1773.535
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1595.77
      </sumStat>
      <sumStat type="stdev">
        2729.966
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2487.328
      </sumStat>
      <txt>
        <![CDATA[Meals, snacks, and drinks provided by restaurants, cafés, etc., including those provided:
- in cultural, sporting or entertainment services: theatres, cinemas, sports stadiums, etc.; on public transport 
- ready to take food products and beverages, the sale of cooked dishes by catering contractors, 
- catering services of works canteens, and canteens in schools, universities etc.]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3112" name="SCHRST" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="961" EndPos="964" 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">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3739
      </sumStat>
      <txt>
        Meals, snacks, and drinks provided in school restaurants
      </txt>
      <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="V3113" name="ACCOM" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="965" EndPos="972" width="8" RecSegNo="1"/>
      <labl>
        Accommodation and hotel expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="24" max="38400"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        297
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        331.195
      </sumStat>
      <sumStat type="invd">
        3442
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3407.805
      </sumStat>
      <sumStat type="min">
        36.209
      </sumStat>
      <sumStat type="max">
        14716.446
      </sumStat>
      <sumStat type="mean">
        1164.312
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1085.298
      </sumStat>
      <sumStat type="stdev">
        1739.536
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1779.943
      </sumStat>
      <txt>
        <![CDATA[Accommodation services of:
- hotels, boarding houses, motels, inns and establishments offering "bed and breakfast";
- holiday villages and holiday centers, camping and caravan sites, youth hostels and mountain chalets;
- boarding schools, universities and other educational establishments;
- public transport (trains, boats, etc.) when priced separately;
- hostels for young workers or immigrants.]]>
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3114" name="MISCEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="973" EndPos="981" width="9" 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="12" max="492768"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3525
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3531.675
      </sumStat>
      <sumStat type="invd">
        214
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        207.325
      </sumStat>
      <sumStat type="min">
        11.576
      </sumStat>
      <sumStat type="max">
        838046.6
      </sumStat>
      <sumStat type="mean">
        7174.355
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6555.05
      </sumStat>
      <sumStat type="stdev">
        17459.176
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        14729.835
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3115" name="PCEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="982" EndPos="989" 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 UNITS="REAL" min="12" max="71032"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3102
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3134.966
      </sumStat>
      <sumStat type="invd">
        637
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        604.034
      </sumStat>
      <sumStat type="min">
        11.576
      </sumStat>
      <sumStat type="max">
        48390.022
      </sumStat>
      <sumStat type="mean">
        1107.435
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        986.773
      </sumStat>
      <sumStat type="stdev">
        2214.968
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1744.421
      </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="V3116" name="SPEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="990" EndPos="996" width="7" RecSegNo="1"/>
      <labl>
        Social protection expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="9600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        69
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        78.654
      </sumStat>
      <sumStat type="invd">
        3670
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3660.346
      </sumStat>
      <sumStat type="min">
        24.527
      </sumStat>
      <sumStat type="max">
        6742.913
      </sumStat>
      <sumStat type="mean">
        1485.308
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1560.67
      </sumStat>
      <sumStat type="stdev">
        1602.131
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1712.116
      </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>
      <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="V3117" name="FEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="997" EndPos="1004" width="8" RecSegNo="1"/>
      <labl>
        Insurance and financial services expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="18" max="30600"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1416
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1322.414
      </sumStat>
      <sumStat type="invd">
        2323
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2416.586
      </sumStat>
      <sumStat type="min">
        42.975
      </sumStat>
      <sumStat type="max">
        38825.352
      </sumStat>
      <sumStat type="mean">
        3201.032
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3228.418
      </sumStat>
      <sumStat type="stdev">
        2610.147
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2664.013
      </sumStat>
      <txt>
        Service charges for insurance such as life insurance and non-life insurance (that is, insurance in connection with the dwelling, health, transport, etc.). Service charges for multi-risk insurance covering several risks should be classified on the basis of the cost of the principal risk if it is not possible to allocate the service charges to the various risks covered. Actual charges for the financial services of banks
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Service charge for insurance is defined as the difference between claims due and premiums earned and premium supplement


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3118" name="FEES" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1005" EndPos="1013" width="9" RecSegNo="1"/>
      <labl>
        Penalties and other fees expenditures
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="132000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2377
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2386.303
      </sumStat>
      <sumStat type="invd">
        1362
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1352.697
      </sumStat>
      <sumStat type="min">
        11.773
      </sumStat>
      <sumStat type="max">
        148145.667
      </sumStat>
      <sumStat type="mean">
        3026.256
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2662.253
      </sumStat>
      <sumStat type="stdev">
        6767.608
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        6087.712
      </sumStat>
      <txt>
        Financial penalties, traffic violation fees etc., fees for issuing passport ID cards, visas, birth certificate, driving license etc. membership fees.. And other non specified fees
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3119" name="PTRANSF" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1014" EndPos="1022" width="9" 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>
      <valrng>
        <range UNITS="REAL" min="12" max="480000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1580
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1450.353
      </sumStat>
      <sumStat type="invd">
        2159
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2288.647
      </sumStat>
      <sumStat type="min">
        23.546
      </sumStat>
      <sumStat type="max">
        677006.667
      </sumStat>
      <sumStat type="mean">
        6345.43
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6420.377
      </sumStat>
      <sumStat type="stdev">
        19334.367
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        16569.491
      </sumStat>
      <txt>
        Remittances inside and outside the country, gifts to relatives cash or in-kind, charities, zakat , Alimony etc.
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3120" name="TOTFOOD" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1023" EndPos="1031" 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="1392" max="406176"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3732
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3733.23
      </sumStat>
      <sumStat type="invd">
        7
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5.77
      </sumStat>
      <sumStat type="min">
        369.067
      </sumStat>
      <sumStat type="max">
        137966.458
      </sumStat>
      <sumStat type="mean">
        17047.883
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        16357.009
      </sumStat>
      <sumStat type="stdev">
        10521.279
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        10554.226
      </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
----------------------------------
All expenditure items were summated from the products data file (indicating monthly amounts in NIS).

All monthly amounts were annualized. 

Items aggregated under each expenditure type are identified]]>
      </notes>
    </var>
    <var ID="V3121" name="TDUR" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1032" EndPos="1040" width="9" RecSegNo="1"/>
      <labl>
        Total expenses on durables
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="5" max="630000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        2539
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2476.621
      </sumStat>
      <sumStat type="invd">
        1200
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1262.379
      </sumStat>
      <sumStat type="min">
        5.029
      </sumStat>
      <sumStat type="max">
        116366.617
      </sumStat>
      <sumStat type="mean">
        7020.843
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        6318.702
      </sumStat>
      <sumStat type="stdev">
        11847.266
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11243.707
      </sumStat>
      <txt>
        Total expenses on durables
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=HSFUR+MHAPL+MHOPE+TAEQ+TRVEH+TTEQP+CULDUR


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3122" name="THOUS" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1041" EndPos="1049" width="9" RecSegNo="1"/>
      <labl>
        Total expenditures on actual and imputed rentals for housing
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="111384"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <sumStat type="min">
        300
      </sumStat>
      <sumStat type="max">
        120000
      </sumStat>
      <sumStat type="mean">
        9081.808
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        9587.81
      </sumStat>
      <sumStat type="stdev">
        6429.129
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        7191.97
      </sumStat>
      <txt>
        Total expenditures on actual and imputed rentals for housing
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=ARHOUS+IMPREN


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3123" name="TOTEXP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1050" EndPos="1058" 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="5152.8" max="943959"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3736
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3737.457
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1.543
      </sumStat>
      <sumStat type="min">
        3772.467
      </sumStat>
      <sumStat type="max">
        1071413.122
      </sumStat>
      <sumStat type="mean">
        62135.343
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        59418.342
      </sumStat>
      <sumStat type="stdev">
        43624.001
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        42801.462
      </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
----------------------------------
All expenditure items were summated from the products data file (indicating monthly amounts in NIS).

All monthly amounts were annualized. 

Items aggregated under each expenditure type are identified]]>
      </notes>
    </var>
    <var ID="V3124" name="TNFOOND" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1059" EndPos="1067" 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="780" max="652259"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3735
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3736.725
      </sumStat>
      <sumStat type="invd">
        4
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2.275
      </sumStat>
      <sumStat type="min">
        24.14
      </sumStat>
      <sumStat type="max">
        975010.7
      </sumStat>
      <sumStat type="mean">
        32848.278
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        30730.75
      </sumStat>
      <sumStat type="stdev">
        30994.605
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        29434.198
      </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
----------------------------------
All expenditure items were summated from the products data file (indicating monthly amounts in NIS).

All monthly amounts were annualized. 

Items aggregated under each expenditure type are identified]]>
      </notes>
    </var>
    <var ID="V3125" name="LUMP" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1068" EndPos="1076" width="9" RecSegNo="1"/>
      <labl>
        Lumpy expenses
      </labl>
      <respUnit>
        <![CDATA[Data Dictionary & Questionnaire/Codebook
Expenditure aggregates.pdf indicates items aggregated under each expenditure type]]>
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="396000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        0
      </sumStat>
      <sumStat type="mean">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0
      </sumStat>
      <sumStat type="stdev">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0
      </sumStat>
      <txt>
        Expenses on marriage, dowries, mahr, funeral, birth etc lump sum divorce (excluding alimony) payment and any other occasional expenses
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data Dictionary.pdf/Expenditure Aggregates.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3126" name="INTER" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1077" EndPos="1084" width="8" 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>
      <valrng>
        <range UNITS="REAL" min="60" max="11592"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        313
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        282.575
      </sumStat>
      <sumStat type="invd">
        3426
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3456.425
      </sumStat>
      <sumStat type="min">
        98.079
      </sumStat>
      <sumStat type="max">
        39522.888
      </sumStat>
      <sumStat type="mean">
        3266.761
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3591.622
      </sumStat>
      <sumStat type="stdev">
        3810.118
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4318.553
      </sumStat>
      <txt>
        Interest paid on loans for the purchase of consumption or durable goods
      </txt>
      <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="V3127" name="TAX" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1085" EndPos="1092" width="8" 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="12" max="12000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        1856
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1824.857
      </sumStat>
      <sumStat type="invd">
        1883
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1914.143
      </sumStat>
      <sumStat type="min">
        2.682
      </sumStat>
      <sumStat type="max">
        54663.977
      </sumStat>
      <sumStat type="mean">
        850.483
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        889.55
      </sumStat>
      <sumStat type="stdev">
        2145.42
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1805.329
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3128" name="TOTDINC" wgt-var="V2944" files="F16" dcml="2" intrvl="contin">
      <location StartPos="1093" EndPos="1101" width="9" RecSegNo="1"/>
      <labl>
        Total disposable income
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="300" max="547742"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        3739
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3739
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        140
      </sumStat>
      <sumStat type="max">
        916980
      </sumStat>
      <sumStat type="mean">
        58506.959
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        55039.225
      </sumStat>
      <sumStat type="stdev">
        55947.478
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        54155.021
      </sumStat>
      <txt>
        Total disposable income
      </txt>
      <codInstr>
        Aggregate computed by ERF (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
=GWAG+SINC+RENTAL+PROINC+TRANSF


COUNTRY SPECIFIC NOTES
----------------------------------
Only the total income is provided in the dataset
Monthly income was annualized]]>
      </notes>
    </var>
    <var ID="V3129" name="COUNTRY" files="F17" 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">
        20185
      </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">
          20185
        </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">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both  the household and the person file and is necessary when concatenating files from different datasets.
Use this variable when concatenating files from different datasets.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V3130" name="YEAR" files="F17" 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="2011" max="2011"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed
      </txt>
      <catgry>
        <catValu>
          2017
        </catValu>
        <catStat type="freq">
          20185
        </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="V3131" name="CASESER" files="F17" 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="6" max="18022"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </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="V3132" name="HWEIGHT" wgt="wgt" files="F17" dcml="4" intrvl="contin">
      <location StartPos="13" EndPos="20" width="8" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.00608549331741742" max="3.45285586296857"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0973
      </sumStat>
      <sumStat type="max">
        4.347
      </sumStat>
      <sumStat type="mean">
        1.022
      </sumStat>
      <sumStat type="stdev">
        0.816
      </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="V3133" name="REG" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          West Bank
        </labl>
        <catStat type="freq">
          15038
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12525.898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Gaza Strip
        </labl>
        <catStat type="freq">
          5147
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8094.465
        </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="V3134" name="RURURB" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="23" EndPos="23" 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">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          6467
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3505.908
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          11286
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15018.087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          2432
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2096.368
        </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="V3135" name="PNUM" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Person identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="28"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </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">
          3739
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3595
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3615.383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3278.068
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2910
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2954.328
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          2374
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2431.765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1805
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1862.465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1244.74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          672
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          728.777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          331
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          367.127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          160
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          182.638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48.043
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34.562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18.619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13.574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.023
        </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="V3136" name="PWEIGHT" wgt-var="V3132" files="F17" dcml="4" intrvl="contin">
      <location StartPos="26" EndPos="32" width="7" RecSegNo="1"/>
      <labl>
        Person weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.0218451272202761" max="4.58661652606182"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.057
      </sumStat>
      <sumStat type="max">
        5.327
      </sumStat>
      <sumStat type="mean">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.637
      </sumStat>
      <sumStat type="stdev">
        0.817
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.003
      </sumStat>
      <txt>
        Data-provider person weight.
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Very few data providers construct a different weight for each member of the household. If a person weight exists in the original dataset, we do report it here (even though it turns out to be the same for all household members in most cases), otherwise we assign the household weight to all household members. 
All statistical analysis performed should use the appropriate weight.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3137" name="PAGE" wgt-var="V3132" files="F17" dcml="0" intrvl="contin">
      <location StartPos="33" EndPos="34" 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">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        24.677
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        24.091
      </sumStat>
      <sumStat type="stdev">
        18.941
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        18.751
      </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
----------------------------------
98 indicates those aged 98 years or older]]>
      </notes>
    </var>
    <var ID="V3138" name="PSEX" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="35" 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">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicator for gender of individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          10189
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10415.781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          9996
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10204.581
        </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="V3139" name="PMART" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="37" width="2" RecSegNo="1"/>
      <labl>
        Marital status [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 12+ years
      </universe>
      <sumStat type="vald">
        14110
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        14101.703
      </sumStat>
      <sumStat type="invd">
        6075
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6518.66
      </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">
          6170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6038.686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          7274
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7391.952
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          171
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          190.765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          476
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          468.545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.59
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6075
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6518.66
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V3140" name="PMART_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="40" width="3" RecSegNo="1"/>
      <labl>
        Marital status [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 12+ years
      </universe>
      <sumStat type="vald">
        14110
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        14101.703
      </sumStat>
      <sumStat type="invd">
        6075
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        6518.66
      </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">
          6170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6038.686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          251.21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          6973
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7140.742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          171
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          190.765
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          476
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          468.545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.59
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          6075
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6518.66
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no Polygamous status for females. Generally the information about polygamous status is available only for the head (male). For the other individuals we consider those having the status married as monogamous. 


COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was only generated for the head of the household if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V3141" name="PREL" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="41" EndPos="41" 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">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </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">
          3739
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          3283
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3308.987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          12181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12421.448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/Mother (parents)
        </labl>
        <catStat type="freq">
          192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          205.18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          172.289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          437.101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          271
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          333.087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.27
        </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="V3142" name="PREL_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="44" 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">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </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">
          3739
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          3283
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3308.987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/Daughter
        </labl>
        <catStat type="freq">
          12181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12421.448
        </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">
          192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          205.18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          172.289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          437.101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131.645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
        <catStat type="freq">
          163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          201.442
        </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">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.27
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3143" name="PFPRES" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="45" EndPos="45" 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">
        16288
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        16614.649
      </sumStat>
      <sumStat type="invd">
        3897
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        4005.714
      </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">
          11812
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12147.442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Father is not a household member
        </labl>
        <catStat type="freq">
          4476
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4467.207
        </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">
          3897
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4005.714
        </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, the head him/herself whenever his/her parent(s) are household members, for the head’s siblings if parents’ data is available, 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.

In case of the head has multiple spouses, the identification of the children’s mothers among different spouses is judgmental whether on age basis, or on members' order in the household.]]>
      </notes>
    </var>
    <var ID="V3144" name="PMPRES" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="46" EndPos="46" 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">
        16399
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        16725.541
      </sumStat>
      <sumStat type="invd">
        3786
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3894.821
      </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">
          12683
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13035.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mother is not a household member
        </labl>
        <catStat type="freq">
          3716
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3690.142
        </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">
          3786
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3894.821
        </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, the head him/herself whenever his/her parent(s) are household members, for the head’s siblings if parents’ data is available, 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.

In case of the head has multiple spouses, the identification of the children’s mothers among different spouses is judgmental whether on age basis, or on members' order in the household.]]>
      </notes>
    </var>
    <var ID="V3145" name="PFATHID" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="48" width="2" RecSegNo="1"/>
      <labl>
        ID of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="26"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        11812
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12147.442
      </sumStat>
      <sumStat type="invd">
        8373
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8472.921
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the father
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          11505
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11756.536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22.874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          69
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          98.711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56.49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52.377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27.19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23.905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18.838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17.319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.124
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          8373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8472.921
        </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="V3146" name="PMOTHID" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        ID of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="27"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        12683
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        13035.4
      </sumStat>
      <sumStat type="invd">
        7502
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7584.963
      </sumStat>
      <txt>
        Indicates the PNUM (the line number in the HH) of the mother
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          676
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          664.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          11490
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11764.098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140.86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78.521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          63
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86.285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          66
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78.341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68.495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22.307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.928
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17.319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.889
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.124
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7584.963
        </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="V3147" name="PFAGE" wgt-var="V3132" files="F17" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        Age of the father
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="18" max="98"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        11812
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12147.442
      </sumStat>
      <sumStat type="invd">
        8373
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8472.921
      </sumStat>
      <sumStat type="min">
        20
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        45.153
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        44.462
      </sumStat>
      <sumStat type="stdev">
        10.229
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        10.245
      </sumStat>
      <txt>
        Indicates the Age of the father
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3148" name="PMAGE" wgt-var="V3132" files="F17" dcml="0" intrvl="contin">
      <location StartPos="53" EndPos="54" width="2" RecSegNo="1"/>
      <labl>
        Age of the mother
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="16" max="98"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        12683
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        13035.4
      </sumStat>
      <sumStat type="invd">
        7502
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7584.963
      </sumStat>
      <sumStat type="min">
        16
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <sumStat type="mean">
        40.812
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        40.273
      </sumStat>
      <sumStat type="stdev">
        11.003
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.088
      </sumStat>
      <txt>
        Indicates the Age of the mother
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3149" name="PFMART" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="56" 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">
        11812
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12147.442
      </sumStat>
      <sumStat type="invd">
        8373
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8472.921
      </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">
          11645
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12017.997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          90
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56.639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49.51
        </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">
          8373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8472.921
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3150" name="PMMART" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="58" 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">
        12683
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        13035.4
      </sumStat>
      <sumStat type="invd">
        7502
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7584.963
      </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">
          11873
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12214.322
        </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">
          133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          677
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          680.89
        </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">
          7502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7584.963
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3151" name="PFMART_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="61" 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">
        11812
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12147.442
      </sumStat>
      <sumStat type="invd">
        8373
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8472.921
      </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          11645
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12017.997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          90
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56.639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23.296
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49.51
        </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">
          8373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8472.921
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3152" name="PMMART_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="64" 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">
        12683
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        13035.4
      </sumStat>
      <sumStat type="invd">
        7502
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7584.963
      </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          11873
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12214.322
        </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">
          133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140.188
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          677
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          680.89
        </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">
          7502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7584.963
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3153" name="PFEDUC" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="66" 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">
        11812
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12147.442
      </sumStat>
      <sumStat type="invd">
        8373
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8472.921
      </sumStat>
      <txt>
        Indicates the Educational level of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1191
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1265.101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          6082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6150.205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          1882
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2060.587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          749
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          692.304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1658
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1716.655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          250
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          262.59
        </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">
          8373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8472.921
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3154" name="PMEDUC" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="68" 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">
        12683
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        13035.4
      </sumStat>
      <sumStat type="invd">
        7502
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7584.963
      </sumStat>
      <txt>
        Indicates the Educational level of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1484
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1340.232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          6528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6566.924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          2216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2566.886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          617
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          704.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1739
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1747.499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          98
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          106.453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.412
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7584.963
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3155" name="PFEDUC_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="71" 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">
        11812
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12147.442
      </sumStat>
      <sumStat type="invd">
        8373
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8472.921
      </sumStat>
      <txt>
        Indicates the Educational level of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          158
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          151.707
        </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">
          1033
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1113.394
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          2350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2449.574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          1338
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1379.161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          2394
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2321.47
        </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">
          1882
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2060.587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          749
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          692.304
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1658
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1716.655
        </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">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22.431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          177
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          163.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          76.991
        </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">
          8373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8472.921
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3156" name="PMEDUC_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="74" 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">
        12682
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        13032.988
      </sumStat>
      <sumStat type="invd">
        7503
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7587.375
      </sumStat>
      <txt>
        Indicates the Educational level of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          487
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          451.372
        </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">
          997
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          888.86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          2181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2060.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          1354
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1394.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          2993
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3111.776
        </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">
          2216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2566.886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          617
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          704.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1739
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1747.499
        </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">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18.641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          79
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74.762
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13.05
        </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">
          7503
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7587.375
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3157" name="PFMAS" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="76" 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">
        11812
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12147.442
      </sumStat>
      <sumStat type="invd">
        8373
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8472.921
      </sumStat>
      <txt>
        Indicates the Main activity of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          9858
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9900.671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          402
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          471.248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1536
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1758.439
        </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">
          8373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8472.921
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3158" name="PMMAS" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="78" 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">
        12683
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        13035.4
      </sumStat>
      <sumStat type="invd">
        7502
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7584.963
      </sumStat>
      <txt>
        Indicates the Main activity of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          1859
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1589.58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          125
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          95.601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          9644
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10199.953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          199
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          232.842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          856
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          917.423
        </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">
          7502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7584.963
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3159" name="PFMAS_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="81" 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">
        11812
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        12147.442
      </sumStat>
      <sumStat type="invd">
        8373
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        8472.921
      </sumStat>
      <txt>
        Indicates the Main activity of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          9858
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9900.671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          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>
          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">
          345
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          384.551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86.697
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17.084
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1536
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1758.439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          8373
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8472.921
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3160" name="PMMAS_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="84" 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">
        12683
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        13035.4
      </sumStat>
      <sumStat type="invd">
        7502
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7584.963
      </sumStat>
      <txt>
        Indicates the Main activity of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          1859
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1589.58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          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>
          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">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51.383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          54
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44.218
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          9644
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10199.953
        </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">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          184.945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          903
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          965.321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          7502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7584.963
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3161" name="PFCEMS" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="86" 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">
        10203
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10285.222
      </sumStat>
      <sumStat type="invd">
        9982
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10335.14
      </sumStat>
      <txt>
        Indicates the Employment status of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          7381
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7618.642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          950
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          933.305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          1869
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1730.173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9982
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10335.14
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3162" name="PMCEMS" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="88" 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">
        1930
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1640.963
      </sumStat>
      <sumStat type="invd">
        18255
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        18979.4
      </sumStat>
      <txt>
        Indicates the Employment status of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          1345
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1201.673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          357
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          279.308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          180
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          105.522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          18255
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18979.4
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3163" name="PFOCC" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="91" 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">
        10260
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10371.92
      </sumStat>
      <sumStat type="invd">
        9925
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10248.443
      </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">
          622
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          711.709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Professionals, Technicians, Associate professionals and Cler
        </labl>
        <catStat type="freq">
          2298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2392.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          1574
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1806.069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          442
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          2354
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2310.723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          1248
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1229.013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          1722
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1613.05
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9925
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10248.443
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3164" name="PMOCC" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="94" 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">
        1984
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1685.181
      </sumStat>
      <sumStat type="invd">
        18201
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        18935.182
      </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">
          133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          114.961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Professionals, Technicians, Associate professionals and Cler
        </labl>
        <catStat type="freq">
          880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          889.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          263
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          172.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83.941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          202
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155.821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46.098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          334
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          222.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          18201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18935.182
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3165" name="PFOCC_unrecoded" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="96" width="2" 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="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10260
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10371.92
      </sumStat>
      <sumStat type="invd">
        9925
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10248.443
      </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>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          622
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          711.709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals, Technicians, Associates and Clerks
        </labl>
        <catStat type="freq">
          2298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2392.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Service shop and market workers
        </labl>
        <catStat type="freq">
          1574
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1806.069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          442
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          2354
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2310.723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          1248
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1229.013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Elementary occupations: Other
        </labl>
        <catStat type="freq">
          1722
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1613.05
        </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">
          9925
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10248.443
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3166" name="PMOCC_unrecoded" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="98" width="2" 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="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        1984
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1685.181
      </sumStat>
      <sumStat type="invd">
        18201
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        18935.182
      </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>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          114.961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals, Technicians, Associates and Clerks
        </labl>
        <catStat type="freq">
          880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          889.996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Service shop and market workers
        </labl>
        <catStat type="freq">
          263
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          172.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83.941
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          202
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155.821
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46.098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Elementary occupations: Other
        </labl>
        <catStat type="freq">
          334
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          222.34
        </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">
          18201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18935.182
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3167" name="PFIND" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="101" 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">
        10260
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10371.92
      </sumStat>
      <sumStat type="invd">
        9925
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10248.443
      </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">
          871
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          649.069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Mining and Manufacturing
        </labl>
        <catStat type="freq">
          1079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1103.348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2395
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2235.811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          1685
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1877.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          705
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          765.965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          3525
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3739.782
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9925
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10248.443
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3168" name="PMIND" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="104" 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">
        1984
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1685.181
      </sumStat>
      <sumStat type="invd">
        18201
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        18935.182
      </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">
          298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          161.885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Mining and Manufacturing
        </labl>
        <catStat type="freq">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155.421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          1309
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1208.808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          18201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18935.182
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3169" name="PFIND_unrecoded" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="105" EndPos="106" width="2" 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="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        10260
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10371.92
      </sumStat>
      <sumStat type="invd">
        9925
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10248.443
      </sumStat>
      <txt>
        Industry 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>
          1
        </catValu>
        <labl>
          Agriculture, fishing and forestry
        </labl>
        <catStat type="freq">
          871
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          649.069
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining, quarrying and manufacturing
        </labl>
        <catStat type="freq">
          1079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1103.348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2395
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2235.811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Commerce, restaurants and hotels
        </labl>
        <catStat type="freq">
          1685
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1877.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          705
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          765.965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Services and other branches
        </labl>
        <catStat type="freq">
          3525
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3739.782
        </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">
          9925
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10248.443
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3170" name="PMIND_unrecoded" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="108" width="2" 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="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        1984
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1685.181
      </sumStat>
      <sumStat type="invd">
        18201
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        18935.182
      </sumStat>
      <txt>
        Industry 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>
          1
        </catValu>
        <labl>
          Agriculture, fishing and forestry
        </labl>
        <catStat type="freq">
          298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          161.885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining, quarrying and manufacturing
        </labl>
        <catStat type="freq">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Commerce, restaurants and hotels
        </labl>
        <catStat type="freq">
          225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155.421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Services and other branches
        </labl>
        <catStat type="freq">
          1309
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1208.808
        </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">
          18201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18935.182
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3171" name="PFTYPEWK" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="110" 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">
        10203
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10285.222
      </sumStat>
      <sumStat type="invd">
        9982
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10335.14
      </sumStat>
      <txt>
        Indicates the Sector of employment of the father [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          2535
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2574.554
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          7379
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7288.338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          268
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          392.37
        </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">
          9982
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10335.14
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3172" name="PMTYPEWK" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="112" 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">
        1930
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1640.963
      </sumStat>
      <sumStat type="invd">
        18255
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        18979.4
      </sumStat>
      <txt>
        Indicates the Sector of employment of the mother [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          687
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          632.101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1073
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          829.88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12.237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          158
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166.745
        </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">
          18255
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18979.4
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3173" name="PFTYPEWK_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="115" 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">
        10203
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10285.222
      </sumStat>
      <sumStat type="invd">
        9982
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10335.14
      </sumStat>
      <txt>
        Indicates the Sector of employment of the father
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          2268
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2310.752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60.613
        </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">
          225
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          203.189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          7379
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7288.338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.961
        </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">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20.239
        </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">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86.968
        </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">
          204
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          285.162
        </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">
          9982
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10335.14
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3174" name="PMTYPEWK_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="118" 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">
        1930
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1640.963
      </sumStat>
      <sumStat type="invd">
        18255
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        18979.4
      </sumStat>
      <txt>
        Indicates the Sector of employment of the mother
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          670
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          619.321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.384
        </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">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          1073
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          829.88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12.237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.773
        </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">
          117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          137.972
        </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">
          18255
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18979.4
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3175" name="PLIT" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="119" 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 5+ years
      </universe>
      <sumStat type="vald">
        17781
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        18034.774
      </sumStat>
      <sumStat type="invd">
        2404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2585.589
      </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">
          1072
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1057.961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          16709
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16976.813
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2585.589
        </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="V3176" name="EVERATTD" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="120" EndPos="121" 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 5+ years
      </universe>
      <sumStat type="vald">
        17781
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        18034.774
      </sumStat>
      <sumStat type="invd">
        2404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2585.589
      </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">
          586
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          529.555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          17195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17505.219
        </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">
          2404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2585.589
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3177" name="PEDUC" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="123" 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 5+ years
      </universe>
      <sumStat type="vald">
        17781
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        18034.774
      </sumStat>
      <sumStat type="invd">
        2404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2585.589
      </sumStat>
      <txt>
        Highest level of education attained.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          4942
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5147.03
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          7881
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7840.283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          2594
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2668.282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          630
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          689.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1597
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1546.298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          136
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140.805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.412
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2585.589
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education  
In case there is no distinction in the survey between primary and preparatory education level and the individual is not currently enrolled in school we consider his education level primary 
If there is no information on highest level of education completed, the variable can be constructed using diploma level and/or years of education. The selection of the variable must be based on a careful review of the data.
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attending minus one (1).
This is country specific- not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the person never attended school it means that the individual did not complete the first level of education (elementary) 
None corresponds either to those currently enrolled in primary but didn't get the diploma or those illiterate, Read and Write, in informal school such as  Koranic school, traditional, vocational training  or adult etc.(cross tabulation with type of school will allow to identify those without education level)
If there is no question on highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.
University education level refers to any higher education after successfully completing secondary level of education regardless of whether this was completed. 
Not stated is for cases where no education level is stated- this should be checked and avoided as much as possible. This classification should be documented.
If no information on the completeness of the education level, classify as incomplete and add specific comment to documentation.
If person is illiterate and there is no information on school level, cases are coded 1 "None".
If there is no information on the literacy status all levels other than formal education grades and not stated can be coded 1 "None".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3178" name="PEDUC_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="126" 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 5+ years
      </universe>
      <sumStat type="vald">
        17780
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        18032.362
      </sumStat>
      <sumStat type="invd">
        2405
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2588.001
      </sumStat>
      <txt>
        Highest level of education attained
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          454
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          502.433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          556
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          498.745
        </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">
          3417
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3589.048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          515
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          556.804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          3140
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3124.85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          1461
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1468.735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          3280
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3246.698
        </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">
          2594
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2668.282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          630
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          689.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          1597
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1546.298
        </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">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92.701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.188
        </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">
          2405
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2588.001
        </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="V3179" name="PYEDUC" wgt-var="V3132" files="F17" dcml="0" intrvl="contin">
      <location StartPos="127" EndPos="128" width="2" RecSegNo="1"/>
      <labl>
        Number of effective years of schooling
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="24"/>
      </valrng>
      <universe clusion="I">
        All individuals aged 5+ years
      </universe>
      <sumStat type="vald">
        17265
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        17475.557
      </sumStat>
      <sumStat type="invd">
        2920
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        3144.805
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        23
      </sumStat>
      <sumStat type="mean">
        8.675
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        8.634
      </sumStat>
      <sumStat type="stdev">
        4.607
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        4.632
      </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 from the variable indicating the number of years of education completed for household members aged 5 years or older.
The variable reports “zero” number of years for all those who never attended school.]]>
      </notes>
    </var>
    <var ID="V3180" name="PATSCH" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="129" 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 5+ years
      </universe>
      <sumStat type="vald">
        17781
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        18034.774
      </sumStat>
      <sumStat type="invd">
        2404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2585.589
      </sumStat>
      <txt>
        Indicates whether the individual is currently attending school
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          10410
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10383.555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          7371
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7651.219
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          2404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2585.589
        </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="V3181" name="PENROL" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="130" 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 5+ years
      </universe>
      <sumStat type="vald">
        7371
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7651.219
      </sumStat>
      <sumStat type="invd">
        12814
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12969.144
      </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">
          3548
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3817.209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          2695
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2736.251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher secondary- academic
        </labl>
        <catStat type="freq">
          1054
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1015.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher secondary- technical/vocational
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25.373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Post secondary- technical
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12814
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12969.144
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
For persons presently attending school (PATSCH=1), value missing for others.
For secondary school, if not specified in the questionnaire, it is assumed that it is an academic secondary school.
For the surveys where is no distinction between university and post university they are considered as university
As with PEDUC, we recommend that PENROL be restructured as a categorical variable appropriate to the analysis.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated for those reported as currently attending school in the school attendance status, whether they are reported students, employed or unemployed in the relation to labor force.
The variable is generated using the highest level of education attained+1, therefore it is only generated for individuals aged 5+, i.e., if the highest level attained is primary for example, normally the individual should be attending in preparatory, except for postgraduates remained postgraduates since no higher levels could be attained 
Those who were illiterate and are currently students were recoded into “other” education together with those indicated “read and write” in the educational status, except for individuals aged 16 years of age or younger still eligible to enroll in primary education, were reported to be in primary education.
 “Secondary” and “Intermediate college” graduates” were classified into “university” since no distinction between academic/vocational/ technical secondary.]]>
      </notes>
    </var>
    <var ID="V3182" name="ATYPSCH" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="129" width="1" RecSegNo="1"/>
      <labl>
        Type of school attending
      </labl>
      <valrng>
        <range min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        7369
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7648.718
      </sumStat>
      <sumStat type="invd">
        12816
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        12971.645
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Public
        </labl>
        <catStat type="freq">
          5000
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4987.418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Private
        </labl>
        <catStat type="freq">
          1065
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1056.204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Koranic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Adult literacy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          1304
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1605.097
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          12816
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12971.645
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3183" name="PSDISABL" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="130" width="1" RecSegNo="1"/>
      <labl>
        Disability status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Disability status
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          18719
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19012.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          1466
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1607.771
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3184" name="PCHRONICDIS" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="132" width="2" RecSegNo="1"/>
      <labl>
        Chronic Disease
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Chronic Disease
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          17930
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18336.07
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2255
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2284.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3185" name="PHLTHINSR" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="134" width="2" RecSegNo="1"/>
      <labl>
        Health Insurance
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Health Insurance
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          4417
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4144.319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          15768
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16476.044
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3186" name="PTHLTHINSR_1" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="136" width="2" RecSegNo="1"/>
      <labl>
        Kind of Health Insurance- Governmental
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals reported having health insurance
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Kind of Health Insurance- Governmental
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          8270
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8454.286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          11915
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12166.077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3187" name="PTHLTHINSR_2" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="137" EndPos="138" width="2" RecSegNo="1"/>
      <labl>
        Kind of Health Insurance- Private
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals reported having health insurance
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Kind of Health Insurance- Private
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          19700
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20170.654
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          485
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          449.709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3188" name="PTHLTHINSR_3" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="140" width="2" RecSegNo="1"/>
      <labl>
        Kind of Health Insurance- Other
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals reported having health insurance
      </universe>
      <sumStat type="vald">
        20185
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        20620.363
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Kind of Health Insurance- Other
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          11504
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11093.072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          8681
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9527.29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3189" name="PSOCSEC" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="142" width="2" RecSegNo="1"/>
      <labl>
        Social Security
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        4081
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3908.149
      </sumStat>
      <sumStat type="invd">
        16104
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        16712.214
      </sumStat>
      <txt>
        Social Security
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          3180
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3047.991
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          898
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          858.285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.873
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          16104
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16712.214
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3190" name="PCLFS" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="132" 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 10+ years
      </universe>
      <sumStat type="vald">
        15133
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15176.661
      </sumStat>
      <sumStat type="invd">
        5052
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5443.701
      </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">
          5543
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5283.992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
        <catStat type="freq">
          9590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9892.669
        </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">
          5052
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5443.701
        </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="V3191" name="PCMAS" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="134" 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 10+ years
      </universe>
      <sumStat type="vald">
        15133
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15176.661
      </sumStat>
      <sumStat type="invd">
        5052
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5443.701
      </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">
          4987
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4705.833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          556
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          578.159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          2908
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3062.246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          4613
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4697.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2069
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2132.64
        </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">
          5052
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5443.701
        </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
----------------------------------
Since unemployment type cannot be identified (previously employed/never employed), all work related variables were recoded missing for unemployed for whom those variables were not reported, and those were assumed to be unemployed never previously employed. While for unemployed for whom other work related variables data is available, the information were kept since those are part of the variable universe and were assumed to be  previously employed.]]>
      </notes>
    </var>
    <var ID="V3192" name="PCMAS_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="137" 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 10+ years
      </universe>
      <sumStat type="vald">
        15133
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        15176.661
      </sumStat>
      <sumStat type="invd">
        5052
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        5443.701
      </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">
          4987
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4705.833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed during last week
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Found a job and waiting for the start date
        </labl>
        <catStat type="freq">
          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>
          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">
          314
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          302.347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (looking for a job)
        </labl>
        <catStat type="freq">
          242
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          275.812
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          2908
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3062.246
        </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">
          4613
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4697.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Working student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2069
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2132.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Out of human force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          In prison or in hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Child
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          5052
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5443.701
        </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
----------------------------------
Since unemployment type cannot be identified (previously employed/never employed), all work related variables were recoded missing for unemployed for whom those variables were not reported, and those were assumed to be unemployed never previously employed. While for unemployed for whom other work related variables data is available, the information were kept since those are part of the variable universe and were assumed to be  previously employed.]]>
      </notes>
    </var>
    <var ID="V3193" name="PCEMS" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="139" 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 10+ years
      </universe>
      <sumStat type="vald">
        5301
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5008.18
      </sumStat>
      <sumStat type="invd">
        14884
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15612.182
      </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">
          4081
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3908.149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          280.048
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          785
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          726.111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          146
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          93.872
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          14884
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15612.182
        </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="V3194" name="POCC" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="142" 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 10+ years
      </universe>
      <sumStat type="vald">
        5543
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5283.992
      </sumStat>
      <sumStat type="invd">
        14642
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15336.371
      </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">
          217
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          228.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Professionals, Technicians, Associate professionals and Cler
        </labl>
        <catStat type="freq">
          1251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1225.919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          866
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          946.815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          207
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129.117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          1077
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1008.046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          489
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          461.769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          1436
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1284.238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          14642
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15336.371
        </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
----------------------------------
Main occupations provided are already aggregated and they are not following the international classifications used for harmonization, hence some occupations are grouped and cannot be split (Ex: technicians and professionals are already grouped with clerks in the original data received while the international classification tend always to differentiate between different occupations).

In order not to drop the variable, the provided grouping was used and labels were adjusted for this data set; giving the aggregated categories a composite code following the codes of actual categories (Ex: professionals, technicians and clerks will be coded 45 following the codes 20, 30 and 40)]]>
      </notes>
    </var>
    <var ID="V3195" name="POCC_unrecoded" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="144" width="2" RecSegNo="1"/>
      <labl>
        Occupation classification for the main job [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 10+ years
      </universe>
      <sumStat type="vald">
        5543
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5283.992
      </sumStat>
      <sumStat type="invd">
        14642
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15336.371
      </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>
          1
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          217
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          228.088
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Professionals, Technicians, Associates and Clerks
        </labl>
        <catStat type="freq">
          1251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1225.919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Service shop and market workers
        </labl>
        <catStat type="freq">
          866
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          946.815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          207
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129.117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          1077
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1008.046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          489
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          461.769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Elementary occupations: Other
        </labl>
        <catStat type="freq">
          1436
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1284.238
        </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">
          14642
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15336.371
        </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="V3196" name="PIND" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="147" 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 10+ years
      </universe>
      <sumStat type="vald">
        5543
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5283.992
      </sumStat>
      <sumStat type="invd">
        14642
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15336.371
      </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">
          531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          330.777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Mining and Manufacturing
        </labl>
        <catStat type="freq">
          643
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          614.711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity and Utilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1024.17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Commerce
        </labl>
        <catStat type="freq">
          992
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1056.157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          276
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          280.457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Financial, Insurance and Real Estate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Public Administration
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Other services
        </labl>
        <catStat type="freq">
          1989
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1977.721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          14642
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15336.371
        </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
----------------------------------
Economic activities  provided are already aggregated and they are not following the international classifications used for harmonization, hence some activities are grouped and cannot be split (Ex: manufacturing is already grouped with mining in the original data received while the international classification tend always to differentiate between different activities).

In order not to drop the variable, the provided grouping was used and labels were adjusted for this data set; giving the aggregated categories a composite code following the codes of actual categories (Ex: mining and manufacturing will be coded 35 following the codes 20 and 30)]]>
      </notes>
    </var>
    <var ID="V3197" name="PIND_unrecoded" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="149" width="2" RecSegNo="1"/>
      <labl>
        Industry classification for the main job [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed Active individuals aged 10+ years
      </universe>
      <sumStat type="vald">
        5543
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5283.992
      </sumStat>
      <sumStat type="invd">
        14642
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15336.371
      </sumStat>
      <txt>
        Industry 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>
          1
        </catValu>
        <labl>
          Agriculture, fishing and forestry
        </labl>
        <catStat type="freq">
          531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          330.777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mining, quarrying and manufacturing
        </labl>
        <catStat type="freq">
          643
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          614.711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1024.17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Commerce, restaurants and hotels
        </labl>
        <catStat type="freq">
          992
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1056.157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Transportation, Storage and Communication
        </labl>
        <catStat type="freq">
          276
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          280.457
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Services and other branches
        </labl>
        <catStat type="freq">
          1989
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1977.721
        </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">
          14642
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15336.371
        </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="V3198" name="PTYPEWK" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="150" EndPos="151" 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 10+ years
      </universe>
      <sumStat type="vald">
        5301
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5008.18
      </sumStat>
      <sumStat type="invd">
        14884
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15612.182
      </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">
          1027
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          975.367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          4137
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3874.437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          125
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          146.422
        </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">
          14884
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15612.182
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Cooperative includes also employee in joint ventures.
Other include workers in national NGOs and in private households
Foreign includes workers in international NGOs 
Quai public sectors are considered as public. In case there is no distinction between Government and public (the survey mixes both categories)  we use the classification used in the original data.

The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 99)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3199" name="PTYPEWK_D" wgt-var="V3132" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="154" 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 10+ years
      </universe>
      <sumStat type="vald">
        5301
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5008.18
      </sumStat>
      <sumStat type="invd">
        14884
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15612.182
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) of the (current or last held) primary job. This variable distinguishes between different types of public and private sector as well as other types of sectors (foreign, cooperative, ….).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          927
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          874.834
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34.308
        </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">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66.224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          4137
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3874.437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.379
        </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">
          35
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33.921
        </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">
          87
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109.123
        </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">
          14884
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15612.182
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variable should generally cover the active sample (employed and unemployed if previously employed).

While for Unemployed never previously employed, the variable was coded missing.
Active sample reported as "not stated (code 999)" should normally include employed for whom the status was not identified and unemployed previously employed if status in last job is not reported. 

Those unemployed and do not search for a job are considered inactive, hence their previous employment  information, if they were ever active, is recoded missing.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V3200" name="PWEEKTL" wgt-var="V3132" files="F17" dcml="0" intrvl="contin">
      <location StartPos="155" EndPos="156" 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 10+ years
      </universe>
      <sumStat type="vald">
        5297
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        5006.255
      </sumStat>
      <sumStat type="invd">
        14888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        15614.108
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        48
      </sumStat>
      <sumStat type="mean">
        39.329
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        39.6
      </sumStat>
      <sumStat type="stdev">
        13.478
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        13.627
      </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
----------------------------------
The total number of weeks worked (PWEEKTL) was generated using the total number of working months during the last 12 months, available in the roster data, multiplied by 4 to convert it to weeks.]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
