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<codeBook version="1.2.2" ID="TUN_ENPE_2009_HD_V1" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Template_project
        </titl>
        <IDNo>
          TUN_ENPE_2009_HD_V1
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="ERF" role="Cleaning and harmonizing raw data received from the Statistical Agency">
          Economic Research Forum
        </producer>
        <prodDate date="2025-12">
          2025-12
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 1
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          National Survey on Population and Employment, ENPE 2009
        </titl>
        <altTitl>
          ENPE
        </altTitl>
        <IDNo>
          TUN_ENPE_2009_HD_V1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Economic Research Forum
        </AuthEnty>
        <AuthEnty>
          National Institute of Statistics - Tunisia
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) 2025, Economic Research Forum | (c) 2009, National Institute of Statistics, Tunisia
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <distStmt>
        <contact URI="www.erf.org.eg" email="erfdataportal@erf.org.eg">
          Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Labor Force Survey [hh/lfs]
        </serName>
        <serInfo>
          <![CDATA[The National Institute of statistics (INS) in Tunisia started by collecting the first bi-annual National Survey on Population and Employment in 1997. Annual surveys started to be collected since 2000.
In 2004, methodologies of both the General Census of Population and Housing and the National Survey on Population and Employment Survey were harmonized with the concepts of the International Labour Organization (ILO).]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2025-12">
          V1: A cleaned and a harmonized version of the survey dataset, 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, are published, along with a copy of all occupation and economic activity classifications used during the harmonization process. 
However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions  in both SPSS and STATA formats.]]>
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="ERF">
          Demographics
        </topcClas>
        <topcClas vocab="ERF">
          Education
        </topcClas>
        <topcClas vocab="ERF">
          Labor Force
        </topcClas>
        <topcClas vocab="ERF">
          Employment
        </topcClas>
        <topcClas vocab="ERF">
          Unemployment
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[*********************************************************************************************************************************************************************
*********************************************************************************************************************************************************************
THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE NATIONAL INSTITUTE OF STATISTICS (INS) - TUNISIA  
*********************************************************************************************************************************************************************
*********************************************************************************************************************************************************************

The survey aims at estimating the demographic and educational characteristics of the population. It also calculates the economic indicators of the population such as the number of active individuals, the additional demand for jobs, the number of employed and their characteristics,the characteristics of the unemployed and the unemployment rate.

The results of this survey were compared with the results of the national survey on population and employment 2009. It should also be noted that the National Institute of Statistics -Tunisia uses the unemployment definition and concepts adopted by the International Labour Organization. This definition implies that, the individual did not work during the week preceding the day of the interview, was looking for a job in the month preceding the date of the interview, is available to work within two weeks after the day of the interview.]]>
      </abstract>
      <sumDscr>
        <collDate date="2009-04-08" event="start" cycle="-"/>
        <collDate date="2009-06-30" event="end" cycle="-"/>
        <nation abbr="TUN">
          Tunisia
        </nation>
        <geogCover>
          Covering a representative sample at the national and regional level (governorates).
        </geogCover>
        <anlyUnit>
          1- Individual/person.
        </anlyUnit>
        <universe>
          The survey covered a national sample of households and all individuals permanently residing in surveyed households.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[Household: Includes geographical characteristics, household composition, LFS classification of household members, head's and spouse's characteristics.

Individual: Includes demographics, education, current labor status, main,  unemployment characteristics and inactivity reason(s).]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="INS" affiliation="Tunisia">
          National Institute of Statistics
        </dataCollector>
        <sampProc>
          <![CDATA[*********************************************************************************************************************************************************************
*********************************************************************************************************************************************************************
THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE NATIONAL INSTITUTE OF STATISTICS (INS) - TUNISIA  
*********************************************************************************************************************************************************************
*********************************************************************************************************************************************************************
The National Institute of Statistics carried out the 2009 National Population and Housing Survey, which covered a sample of about 162,500 households representative of all households across the regions, distributed over 6,500 enumeration areas in all governorates, including their cities, towns, and rural areas.The sample is drawn from the frame of the 2004 General Census of Population and Housing.]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[Three modules were designed for data collection:

- Household Questionnaire (Module 1):
Includes questions regarding household characteristics, living conditions, individuals and their demographic, educational and economic characteristics. 

- Active Employed Questionnaire (Module 2):
Includes questions regarding the characteristics of the employed individuals as occupation, industry and wages for employees.

- Active Unemployed Questionnaire (Module 3):
Includes questions regarding the characteristics of the unemployed as unemployment duration, the last occupation, activity, and the number of days worked during the last year...etc.]]>
        </resInstru>
        <sources/>
        <actMin>
          <![CDATA[The control and supervision of the work of interviewers was achieved over several steps, in fact interviewers are divided into teams of three or four headed by a supervisor. 
The supervisor ensures that the interviewers locate and correctly identify the limits of the clusters, conduct the interview properly, when it comes to the way the interviewer asks the questions and efficiently completes the questionnaire.
Once completed, questionnaires are then submitted to regional offices. The office auditor checks the questionnaires for errors, inconsistencies or omissions.
These teams of interviewers and auditors are supervised by a supervisor for each governorate (or all governorates). The supervisor, ensures the smooth coordination between different teams and the smooth flow of information from the central to regional offices. The supervisor is also responsible for the training of interviewers and auditors before the interviews start.]]>
        </actMin>
        <cleanOps>
          <![CDATA[Harmonized Data
============
- SPSS software is used to clean and harmonize the datasets.
- The harmonization process starts with cleaning all raw data files received from the Statistical Agency.
- Cleaned data files are then all merged to produce one data file on the individual level containing all variables subject to harmonization.
- A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
- A post-harmonization cleaning process is then conducted on the data.
- Harmonized data is saved on the household as well as the individual level, in STATA and converted to SPSS format.]]>
        </cleanOps>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement.
The data will be used only for scholarly research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.]]>
        </confDec>
        <contact affiliation="Economic Research Forum (ERF)" URI="www.erf.org.eg" email="erfdataportal@erf.org.eg">
          Economic Research Forum
        </contact>
        <citReq>
          <![CDATA[The users should cite the Economic Research Forum and the National Institute of Statistics -Tunisia as follows:

OAMDI, 2025. Harmonized Labor Force Surveys (HLFS), https://www.erfdataportal.com/index.php/catalog/. Version 1.0 of Licensed Data Files; ENPE 2009 - National Institute of Statistics (INS), Tunisia. Egypt: Economic Research Forum (ERF).]]>
        </citReq>
        <conditions>
          Licensed datasets, accessible under conditions.
        </conditions>
        <disclaimer>
          The Economic Research Forum and the National Institute of Statistics of Tunisia have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F13" URI="TUN_ENPE_2009_HD_V1.Nesstar?Index=0&amp;Name=Tunisia 2009-LFS HH-V1">
    <fileTxt>
      <fileName>
        Tunisia 2009-LFS HH-V1.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The household data file contains generated household-level harmonized variables, subject to availability, covering the following categories:
- File identification and information
- Geographical characteristics
- Household composition
- LFS classification of household members
- Head's and spouse's characteristics
- Dwelling characteristics
- Ownership of durables

In cross-sectional datasets, the CASESER uniquely identifies the household. 
In panel data, the ROUND and the CASESER variables are required to uniquely identify a certain household, while the HPNLID is used to identify panaled households.]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F14" keyvar="V642"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          157756
        </caseQnty>
        <varQnty>
          44
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F14" URI="TUN_ENPE_2009_HD_V1.Nesstar?Index=1&amp;Name=Tunisia 2009-LFS IND-V1">
    <fileTxt>
      <fileName>
        Tunisia 2009-LFS IND-V1.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The individual data file contains generated individual-level harmonized variables, subject to availability, enveloped in the following categories:
- File identification and information
- Demographics
- Nationality and immigration
- Education
- Current labor status
- Employment in main job
- Wages and incomes
- Employment in secondary job
- Last held job characteristics
- Unemployment characteristics
- Inactivity reason(s)

In cross-sectional datasets, both CASESER and PNUM are used to uniquely identify an individual. 
In panel data, the ROUND, CASESER and PNUM are required to uniquely identify a certain individual, while the HPNLID and PPNLID variables are used to identify paneled individuals.]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F13" keyvar="V692 V693"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          660851
        </caseQnty>
        <varQnty>
          30
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="section" varGrp="VG3 VG4 VG5 VG22 VG8">
      <labl>
        Household
      </labl>
    </varGrp>
    <varGrp ID="VG2" type="section" varGrp="VG10 VG11 VG12 VG14 VG15 VG16 VG20">
      <labl>
        Individual
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V640 V639 V641 V642">
      <labl>
        File identification and information
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V643">
      <labl>
        Geographical characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V646 V647 V648">
      <labl>
        Household composition
      </labl>
    </varGrp>
    <varGrp ID="VG8" type="subject" var="V661 V663 V665 V666 V667 V669 V671 V673 V675 V677 V679 V681 V683 V685 V687">
      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V689 V690 V691 V692 V693 V694">
      <labl>
        File identification and information
      </labl>
    </varGrp>
    <varGrp ID="VG11" type="subject" var="V695">
      <labl>
        Geographical characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG12" type="subject" var="V698 V699 V700 V701 V702 V703">
      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V704 V705">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V706 V707 V708">
      <labl>
        Current labor status
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V709 V710 V711 V712 V713 V714 V715 V716">
      <labl>
        Employment in main job
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V718">
      <labl>
        Unemployment characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG22" type="subject" var="V655 V656 V657 V658 V659 V660">
      <labl>
        LFS classification of household members
      </labl>
    </varGrp>
    <var ID="V639" name="YEAR" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="4" width="4" RecSegNo="1"/>
      <labl>
        Survey year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2012" max="2012"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed.
      </txt>
      <catgry>
        <catValu>
          2009
        </catValu>
        <catStat type="freq">
          157756
        </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 individual files and is necessary when concatenating cross-sectional data. In the case of panel data, the Panel Identifier should be used to merge the datasets across years.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V640" name="COUNTRY" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="5" EndPos="7" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A numeric variable representing the country and coded per the UN’s Dec. 2012, country classification.
      </txt>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          157756
        </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 individual files and is necessary when concatenating different data files.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V641" name="DTYPE" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Data type
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable should indicate whether the survey data is cross-sectional or panel.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cross-sectional
        </labl>
        <catStat type="freq">
          157756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of this variable should be constant for the same dataset, indicating one type of data (cross-sectional or panel). 
This variable might be useful when combining datasets to identify different types of data before using them for analysis.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF taking the code 1 since the data is cross-sectional]]>
      </notes>
    </var>
    <var ID="V642" name="CASESER" files="F13" dcml="0" intrvl="contin">
      <location StartPos="9" EndPos="14" width="6" RecSegNo="1"/>
      <labl>
        Unique household identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="111" max="652934"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        110001
      </sumStat>
      <sumStat type="max">
        634932
      </sumStat>
      <sumStat type="mean">
        321413.473
      </sumStat>
      <sumStat type="stdev">
        163272.984
      </sumStat>
      <txt>
        Sequential anonymous household identifier, usually provided in the dataset.
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists both in the household and the individual files and is necessary when merging the two files. When combining different countries or years, it is necessary to use the CASESER variable in combination with the COUNTRY, YEAR and ROUND variables in order to uniquely identify the households. When merging household and individual level files from the same dataset, this variable can be used to link each individual to the right household.


COUNTRY SPECIFIC NOTES
----------------------------------
A household serial is generated by ERF, using the variables Num_Men, and V_9_10_i to uniquely identify each household.

All dwelling characteristics are missing in 6% of the households. However, the corresponding individuals of those households are available in the sample, therefore the 7342 households representing 6% of the sample were not dropped.]]>
      </notes>
    </var>
    <var ID="V643" name="REG" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="15" EndPos="20" width="6" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="788011" max="788063"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Region of residence.
      </txt>
      <catgry>
        <catValu>
          788011
        </catValu>
        <labl>
          Tunis
        </labl>
        <catStat type="freq">
          7923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788012
        </catValu>
        <labl>
          Ariana
        </labl>
        <catStat type="freq">
          5994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788013
        </catValu>
        <labl>
          Ben Arous
        </labl>
        <catStat type="freq">
          6413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788014
        </catValu>
        <labl>
          Mannouba
        </labl>
        <catStat type="freq">
          6744
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788015
        </catValu>
        <labl>
          Nabeul
        </labl>
        <catStat type="freq">
          7033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788016
        </catValu>
        <labl>
          Zaghouan
        </labl>
        <catStat type="freq">
          5866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788017
        </catValu>
        <labl>
          Bizerte
        </labl>
        <catStat type="freq">
          7144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788021
        </catValu>
        <labl>
          Beja
        </labl>
        <catStat type="freq">
          6629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788022
        </catValu>
        <labl>
          Jendouba
        </labl>
        <catStat type="freq">
          6980
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788023
        </catValu>
        <labl>
          Lekef
        </labl>
        <catStat type="freq">
          6565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788024
        </catValu>
        <labl>
          Siliana
        </labl>
        <catStat type="freq">
          7393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788031
        </catValu>
        <labl>
          Sousse
        </labl>
        <catStat type="freq">
          6789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788032
        </catValu>
        <labl>
          Monastir
        </labl>
        <catStat type="freq">
          6318
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788033
        </catValu>
        <labl>
          Mahdia
        </labl>
        <catStat type="freq">
          6346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788034
        </catValu>
        <labl>
          Sfax
        </labl>
        <catStat type="freq">
          7749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788041
        </catValu>
        <labl>
          Kairouan
        </labl>
        <catStat type="freq">
          7446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788042
        </catValu>
        <labl>
          Kasserine
        </labl>
        <catStat type="freq">
          6595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788043
        </catValu>
        <labl>
          Sidi Bouzid
        </labl>
        <catStat type="freq">
          7234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788051
        </catValu>
        <labl>
          Gabes
        </labl>
        <catStat type="freq">
          6041
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788052
        </catValu>
        <labl>
          Mednine
        </labl>
        <catStat type="freq">
          6852
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788053
        </catValu>
        <labl>
          Tataouine
        </labl>
        <catStat type="freq">
          5372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788061
        </catValu>
        <labl>
          Gafsa
        </labl>
        <catStat type="freq">
          6277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788062
        </catValu>
        <labl>
          Tozeur
        </labl>
        <catStat type="freq">
          5121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788063
        </catValu>
        <labl>
          Kebili
        </labl>
        <catStat type="freq">
          4932
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
To generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.
This is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.


COUNTRY SPECIFIC NOTES
----------------------------------
The Governorate is missing for 24 household / 96 individual in the original data.]]>
      </notes>
    </var>
    <var ID="V644" name="RURURB" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          57790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          99966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case the country has refugee camps (as in Palestine), the "refugee camp" category is coded "2".

COUNTRY SPECIFIC NOTES
----------------------------------
The Urban/Rural residence is missing for 25 household / 100 individual in the original data.]]>
      </notes>
    </var>
    <var ID="V645" name="GREGION" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="22" width="1" RecSegNo="1"/>
      <labl>
        Grand Region
      </labl>
      <valrng>
        <range min="1" max="7"/>
      </valrng>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          District of Tunis
        </labl>
        <catStat type="freq">
          27074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Northeast
        </labl>
        <catStat type="freq">
          20043
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Northwest
        </labl>
        <catStat type="freq">
          27567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Center East
        </labl>
        <catStat type="freq">
          27202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Center West
        </labl>
        <catStat type="freq">
          21275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Southeast
        </labl>
        <catStat type="freq">
          18265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Southwest
        </labl>
        <catStat type="freq">
          16330
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V646" name="TPNUM" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="23" EndPos="24" width="2" RecSegNo="1"/>
      <labl>
        Total number of household members
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="16"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        21
      </sumStat>
      <sumStat type="mean">
        4.189
      </sumStat>
      <sumStat type="stdev">
        1.896
      </sumStat>
      <txt>
        Total number of household members
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          9164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          23806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          25948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          33435
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          30194
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          18374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          9195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          4218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variables should count all household members (males/females), including those reported as head's non-relative (including domestic workers). 
These variables should be constructed by aggregating the data provided on the individual-level. 
In general, summation over all individuals in the household.
TPNUM = FEMNUM + MALNUM


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V647" name="MALNUM" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="25" EndPos="26" width="2" RecSegNo="1"/>
      <labl>
        Total number of males in the household
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        132909
      </sumStat>
      <sumStat type="invd">
        24847
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.262
      </sumStat>
      <sumStat type="stdev">
        1.18
      </sumStat>
      <txt>
        Total number of males in the household
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          41026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          43172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          29921
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          12835
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          4248
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          363
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24847
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variables should count all household members (males/females), including those reported as head's non-relative (including domestic workers). 
These variables should be constructed by aggregating the data provided on the individual-level. 
In general, summation over all individuals in the household.
TPNUM = FEMNUM + MALNUM


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V648" name="FEMNUM" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="27" EndPos="28" width="2" RecSegNo="1"/>
      <labl>
        Total number of females in the household
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        24847
      </sumStat>
      <sumStat type="invd">
        132909
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        13
      </sumStat>
      <sumStat type="mean">
        2.081
      </sumStat>
      <sumStat type="stdev">
        1.187
      </sumStat>
      <txt>
        Total number of females in the household
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          9766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          7797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          132909
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variables should count all household members (males/females), including those reported as head's non-relative (including domestic workers). 
These variables should be constructed by aggregating the data provided on the individual-level. 
In general, summation over all individuals in the household.
TPNUM = FEMNUM + MALNUM


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V655" name="MALINLF" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ males in the labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9
      </sumStat>
      <sumStat type="mean">
        1.031
      </sumStat>
      <sumStat type="stdev">
        0.844
      </sumStat>
      <txt>
        Number of 15+ males in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          36240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          93462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          18354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          7028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older), and reported to be either employed or unemployed and seeking a job (active) during the short reference period.

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ in the labor force in the household.
HINLF = FEMINLF + MALINLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V656" name="FEMINLF" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ females in the labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        0.371
      </sumStat>
      <sumStat type="stdev">
        0.625
      </sumStat>
      <txt>
        Number of 15+ females in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          109099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          40923
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          6078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older), and reported to be either employed or unemployed and seeking a job (active) during the short reference period.

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ in the labor force in the household.
HINLF = FEMINLF + MALINLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V657" name="HINLF" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Number of 15+ household members in the labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11
      </sumStat>
      <sumStat type="mean">
        1.402
      </sumStat>
      <sumStat type="stdev">
        1.076
      </sumStat>
      <txt>
        Number of 15+ household members in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          26728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          71480
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          39705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          12279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          5196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older), and reported to be either employed or unemployed and seeking a job (active) during the short reference period.

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ in the labor force in the household.
HINLF = FEMINLF + MALINLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V658" name="MALOUTLF" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ males out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="7"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        0.5
      </sumStat>
      <sumStat type="stdev">
        0.717
      </sumStat>
      <txt>
        Number of 15+ males out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          95787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          48335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          10912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older) and inactive with respect to their relation to the labor force during the short reference period (unemployed and able to work but neither want nor seeking work, student, housewife, homemaker, retired, disabled, old age, etc.).

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ and out of labor force in the household.
HOUTLF = FEMOUTLF + MALOUTLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V659" name="FEMOUTLF" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        Number of 15+ females out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11
      </sumStat>
      <sumStat type="mean">
        1.261
      </sumStat>
      <sumStat type="stdev">
        0.951
      </sumStat>
      <txt>
        Number of 15+ females out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          27371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          83065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          31687
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          11303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older) and inactive with respect to their relation to the labor force during the short reference period (unemployed and able to work but neither want nor seeking work, student, housewife, homemaker, retired, disabled, old age, etc.).

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ and out of labor force in the household.
HOUTLF = FEMOUTLF + MALOUTLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V660" name="HOUTLF" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        Number of 15+ household members out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12
      </sumStat>
      <sumStat type="mean">
        1.761
      </sumStat>
      <sumStat type="stdev">
        1.278
      </sumStat>
      <txt>
        Number of 15+ household members out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          20731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          57279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          41224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          23133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          10268
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          3583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older) and inactive with respect to their relation to the labor force during the short reference period (unemployed and able to work but neither want nor seeking work, student, housewife, homemaker, retired, disabled, old age, etc.).

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ and out of labor force in the household.
HOUTLF = FEMOUTLF + MALOUTLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V661" name="AGEHD" files="F13" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="14" max="76"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        157753
      </sumStat>
      <sumStat type="invd">
        3
      </sumStat>
      <sumStat type="min">
        14
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        52.237
      </sumStat>
      <sumStat type="stdev">
        14.934
      </sumStat>
      <txt>
        Age of the head in completed 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, the age may be calculated at a certain reference date (e.g., 31 December of the year preceding the survey). 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).
In some surveys, the date of birth is reported instead of reporting the age value. In such cases, it should be computed based on the date of birth and the survey year.

When the original dataset has only age categories, age is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V662" name="AGESP" files="F13" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Age of first the spouse
      </labl>
      <valrng>
        <range min="15" max="90"/>
      </valrng>
      <sumStat type="vald">
        123226
      </sumStat>
      <sumStat type="invd">
        34530
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        45.22
      </sumStat>
      <sumStat type="stdev">
        13.18
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V663" name="SEXHD" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Gender of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Gender of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          132909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          24847
        </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="V664" name="SEXSP" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Gender of the spouse
      </labl>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <sumStat type="vald">
        123257
      </sumStat>
      <sumStat type="invd">
        34499
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          123257
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34499
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V665" name="MARTHD" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat 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">
          5873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          130799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          2173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          18894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable should not be imputed for household members for whom the information was not collected (i.e. it can only be generated for those to whom the question was asked since the youngest age at which the information is collected may differ depending on the survey).
Married only refers to formal marriages (including legally married). 
Polygamous unions include males with multiple spouses. The number of spouses in the household can be used to indicate polygamy.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V666" name="MARTHD_D" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="54" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          5873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          130799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          2173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          18894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          17
        </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="V667" name="EDUHD" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 10+
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          51346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          55149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          37796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          13164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          301
        </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 generated based on the highest educational attainment variable.
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education.
If there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. 
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended 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 individual 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, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. 
If there is no question on the 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.


COUNTRY SPECIFIC NOTES
----------------------------------
It is worth noting that no documentation specifies whether the education status variable "V_0_244_i" provided in the original data indicates the highest level of education "attained" or the highest level "successfully completed". Since it is the ONLY variable provided, it was used for harmonization purposes. It should also be noted that, large inconsistencies were detected between the age and this variable. However, no corrections could be one.]]>
      </notes>
    </var>
    <var ID="V668" name="EDUSP" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="58" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the spouse [Standardized version]
      </labl>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        123257
      </sumStat>
      <sumStat type="invd">
        34499
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          49976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          38910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          25736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          8405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          230
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34499
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V669" name="EDUHD_D" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="61" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Heads aged 10+
      </universe>
      <sumStat type="vald">
        157756
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          51346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat 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>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          55149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          37796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          13164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          301
        </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
----------------------------------
It is worth noting that no documentation specifies whether the education status variable "V_0_244_i" provided in the original data indicates the highest level of education "attained" or the highest level "successfully completed". Since it is the ONLY variable provided, it was used for harmonization purposes. It should also be noted that, large inconsistencies were detected between the age and this variable. However, no corrections could be one.]]>
      </notes>
    </var>
    <var ID="V670" name="EDUSP_D" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="62" EndPos="64" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the spouse [Detailed version]
      </labl>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        123257
      </sumStat>
      <sumStat type="invd">
        34499
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        999
      </sumStat>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          49976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat 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>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary /Lower secondary
        </labl>
        <catStat type="freq">
          38910
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          25736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          8405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          230
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34499
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V671" name="MASHD" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="66" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        157755
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <txt>
        Main activity status of the head during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          99429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          2645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          55681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 Unlike LFS, the main distinction in MAS is between "employed" and "not employed."
- "Employed": refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). 
- "Not Employed": The rationale is that the individuals do not generally spend their time "being unemployed," but use the unemployment time 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 their own category among the "Not Employed."
Accordingly, "Not Employed" is classified into:
 - Unemployed - individuals who are not employed comprise all who are "not in employment" but "currently available to take up employment" and carry out "activities to seek employment", 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, homemakers, pensioners, disabled, etc.

COUNTRY SPECIFIC NOTES
----------------------------------
"Others" category in this variable includes all inactive individuals whether housemaker, student, pensioners, retired, or disabled .]]>
      </notes>
    </var>
    <var ID="V672" name="MASSP" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="68" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the spouse [Standardized version]
      </labl>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        123257
      </sumStat>
      <sumStat type="invd">
        34499
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          21206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          3656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          98395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34499
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V673" name="MASHD_D" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="71" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        157755
      </sumStat>
      <sumStat type="invd">
        1
      </sumStat>
      <txt>
        Main activity status of the head during the survey period (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          99429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          2645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          55681
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Among the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.

Similarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.

The code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he/she is still paid/earn income.

The reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).
 
Discouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and/or were met with lack of success when applying.

Family responsibilities includes taking caring for children, the incapacitated or elderly.


COUNTRY SPECIFIC NOTES
----------------------------------
"Others" category in this variable includes all inactive individuals whether housemaker, student, pensioners, retired, or disabled .]]>
      </notes>
    </var>
    <var ID="V674" name="MASSP_D" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="74" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the spouse [Detailed version]
      </labl>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        123257
      </sumStat>
      <sumStat type="invd">
        34499
      </sumStat>
      <sumStat type="min">
        100
      </sumStat>
      <sumStat type="max">
        600
      </sumStat>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          21206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self-employment activity
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          3656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          98395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          34499
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V675" name="EMPSHD" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="76" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        99429
      </sumStat>
      <sumStat type="invd">
        58327
      </sumStat>
      <txt>
        Detailed description of the employment status of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          99429
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          58327
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Definitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.
- Employee includes anyone who works for a public or private employer and 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 payment is based on an explicit (written or oral) or implicit employment contract. 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 individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.
- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services 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 (e.g., freelancer, individual who gives private lessons or apprentices without payment).
- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.
- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) 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. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.
- 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.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V676" name="EMPSSP" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="77" EndPos="78" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the spouse [Standardized version]
      </labl>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        21206
      </sumStat>
      <sumStat type="invd">
        136550
      </sumStat>
      <sumStat type="min">
        99
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own account, self-employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Member of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (Others)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          21206
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          136550
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V677" name="OCCHD" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="81" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        99429
      </sumStat>
      <sumStat type="invd">
        58327
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the head.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          10108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          5752
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          6164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          4333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          12682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          18150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          12840
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          9027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          19365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1008
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          58327
        </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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V678" name="OCCSP" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="84" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the spouse [Standardized version]
      </labl>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <sumStat type="vald">
        21206
      </sumStat>
      <sumStat type="invd">
        136550
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        999
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          1001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          2652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          4104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          1994
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          1338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          2468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators and assemblers
        </labl>
        <catStat type="freq">
          1998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          2199
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed Forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2649
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          136550
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V679" name="OCCHD_UNREC" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="86" width="2" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the head [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        99429
      </sumStat>
      <sumStat type="invd">
        58327
      </sumStat>
      <txt>
        Occupation classification of the main job of the head- an unrecoded version presenting codes as collected and received in the original dataset.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          2273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          7027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          845
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          3185
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          1007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          1325
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          1091
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          2146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          1602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          3343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          990
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          6257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          6425
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          15549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          2601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          6668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          3010
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          2854
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          430
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          1404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          7193
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          5811
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related labourers
        </labl>
        <catStat type="freq">
          2715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Labourers in mining, construction, manufacturing and transpo
        </labl>
        <catStat type="freq">
          10839
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <catStat type="freq">
          1008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not Stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          58327
        </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="V680" name="OCCSP_UNREC" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="88" width="2" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the spouse [Unrecoded version]
      </labl>
      <valrng>
        <range min="11" max="99"/>
      </valrng>
      <sumStat type="vald">
        21206
      </sumStat>
      <sumStat type="invd">
        136550
      </sumStat>
      <sumStat type="min">
        11
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          420
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          1989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          1108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          2135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          567
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          1739
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          1945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          1100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related labourers
        </labl>
        <catStat type="freq">
          595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Labourers in mining, construction, manufacturing and transpo
        </labl>
        <catStat type="freq">
          504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not Stated
        </labl>
        <catStat type="freq">
          2649
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          136550
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V681" name="INDHD" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="91" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        99429
      </sumStat>
      <sumStat type="invd">
        58327
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the head.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          21764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          10499
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          1145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          16237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          12203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          3733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Transportation and Telecommunications
        </labl>
        <catStat type="freq">
          7119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          2931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          2940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Education services, health and public administration
        </labl>
        <catStat type="freq">
          19134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          527
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          58327
        </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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.
The category "Wholesale and retail trade" includes the repair activities of motor vehicles and motorcycles.
The category "Real estate, administrative, professional and support service activities" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.


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: transportation is already grouped with telecommunications 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: 1- Transportation and telecommunications will be coded 85 between the codes 70 and 90. 2- Education services, health and public administration will be coded 145 following the codes 120, 130 and 140.)]]>
      </notes>
    </var>
    <var ID="V682" name="INDSP" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="94" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the spouse [Standardized ver
      </labl>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <sumStat type="vald">
        21206
      </sumStat>
      <sumStat type="invd">
        136550
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        999
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          5008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          4216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          1354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Transportation and Telecommunications
        </labl>
        <catStat type="freq">
          423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          1520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Education services, health and public administration
        </labl>
        <catStat type="freq">
          7269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          269
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          136550
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V683" name="INDHD_UNREC" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="96" width="2" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the head [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        77138
      </sumStat>
      <sumStat type="invd">
        80618
      </sumStat>
      <txt>
        Economic activity classification of the main job of the head- an unrecoded version presenting codes as collected and received in the original dataset.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Agriculture, hunting, and fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agricultural and food industries
        </labl>
        <catStat type="freq">
          1965
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Building materials, ceramics and glass
        </labl>
        <catStat type="freq">
          1307
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Mechanical and electrical industries
        </labl>
        <catStat type="freq">
          1958
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Chemical industry
        </labl>
        <catStat type="freq">
          763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Textile and clothing, leather and footwear
        </labl>
        <catStat type="freq">
          2229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other manufacturing industries
        </labl>
        <catStat type="freq">
          2277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Mines
        </labl>
        <catStat type="freq">
          497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Extr.raf.pet gas
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Production and distribution of electricity
        </labl>
        <catStat type="freq">
          498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Production and distribution of water
        </labl>
        <catStat type="freq">
          350
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Construction &amp; Public Works
        </labl>
        <catStat type="freq">
          16237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Trade
        </labl>
        <catStat type="freq">
          12203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Transportation and Telecommunications
        </labl>
        <catStat type="freq">
          6223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <catStat type="freq">
          896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          3733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Banks and Insurances
        </labl>
        <catStat type="freq">
          667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Repairs and real estate services
        </labl>
        <catStat type="freq">
          2931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Social and cultural services
        </labl>
        <catStat type="freq">
          2940
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Education services, health and public administration
        </labl>
        <catStat type="freq">
          19134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not Stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          80618
        </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="V684" name="INDSP_UNREC" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the spouse [Unrecoded versio
      </labl>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        15929
      </sumStat>
      <sumStat type="invd">
        141827
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        98
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Agriculture, hunting, and fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agricultural and food industries
        </labl>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Building materials, ceramics and glass
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Mechanical and electrical industries
        </labl>
        <catStat type="freq">
          507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Chemical industry
        </labl>
        <catStat type="freq">
          120
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Textile and clothing, leather and footwear
        </labl>
        <catStat type="freq">
          3075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other manufacturing industries
        </labl>
        <catStat type="freq">
          219
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Mines
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Extr.raf.pet gas
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Production and distribution of electricity
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Production and distribution of water
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Construction &amp; Public Works
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Trade
        </labl>
        <catStat type="freq">
          1354
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Transportation and Telecommunications
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <catStat type="freq">
          275
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Banks and Insurances
        </labl>
        <catStat type="freq">
          262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Repairs and real estate services
        </labl>
        <catStat type="freq">
          398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Social and cultural services
        </labl>
        <catStat type="freq">
          1520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Education services, health and public administration
        </labl>
        <catStat type="freq">
          7269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          141827
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V685" name="SECTORHD" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        99429
      </sumStat>
      <sumStat type="invd">
        58327
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          99429
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          58327
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Quasi-public sectors are considered as public. 
In the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.
Cooperative includes employees in joint ventures.
Foreign includes workers in international NGOs.
Others includes workers in national NGOs and in private households.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V686" name="SECTORSP" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="102" width="2" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the spouse [Unrecoded versio
      </labl>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        21206
      </sumStat>
      <sumStat type="invd">
        136550
      </sumStat>
      <sumStat type="min">
        99
      </sumStat>
      <sumStat type="max">
        99
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          21206
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          136550
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V687" name="SECTORHD_D" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="105" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        99429
      </sumStat>
      <sumStat type="invd">
        58327
      </sumStat>
      <txt>
        These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          99429
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          58327
        </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="V688" name="SECTORSP_D" files="F13" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="108" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the spouse [Detailed version]
      </labl>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <sumStat type="vald">
        21206
      </sumStat>
      <sumStat type="invd">
        136550
      </sumStat>
      <sumStat type="min">
        999
      </sumStat>
      <sumStat type="max">
        999
      </sumStat>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government-National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government-Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government-Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government-Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private-Investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private-National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private-National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private-National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private-Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private-Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private-Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private-Inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private-Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private-Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          21206
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          136550
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V689" name="COUNTRY" wgt-var="V694" files="F14" 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">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        A numeric variable representing the country and coded per the UN’s Dec. 2012, country classification.
      </txt>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          660851
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10419721.94
        </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 individual files and is necessary when concatenating different data files.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V690" name="YEAR" wgt-var="V694" files="F14" 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="2012" max="2012"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed.
      </txt>
      <catgry>
        <catValu>
          2009
        </catValu>
        <catStat type="freq">
          660851
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10419721.94
        </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 individual files and is necessary when concatenating cross-sectional data. In the case of panel data, the Panel Identifier should be used to merge the datasets across years.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V691" name="DTYPE" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Data type
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable should indicate whether the survey data is cross-sectional or panel.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cross-sectional
        </labl>
        <catStat type="freq">
          660851
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10419721.94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of this variable should be constant for the same dataset, indicating one type of data (cross-sectional or panel). 
This variable might be useful when combining datasets to identify different types of data before using them for analysis.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF taking the code 1 since the data is cross-sectional]]>
      </notes>
    </var>
    <var ID="V692" name="CASESER" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="14" width="6" RecSegNo="1"/>
      <labl>
        Unique household identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="111" max="652934"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Sequential anonymous household identifier, usually provided in the dataset.
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists both in the household and the individual files and is necessary when merging the two files. When combining different countries or years, it is necessary to use the CASESER variable in combination with the COUNTRY, YEAR and ROUND variables in order to uniquely identify the households. When merging household and individual level files from the same dataset, this variable can be used to link each individual to the right household.


COUNTRY SPECIFIC NOTES
----------------------------------
A household serial is generated by ERF, using the variables Num_Men, and V_9_10_i to uniquely identify each household.

All dwelling characteristics are missing in 6% of the households. However, the corresponding individuals of those households are available in the sample, therefore the 7342 households representing 6% of the sample were not dropped.]]>
      </notes>
    </var>
    <var ID="V693" name="PNUM" wgt-var="V694" files="F14" dcml="0" intrvl="contin">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        Individual identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="16"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        21
      </sumStat>
      <sumStat type="mean">
        3.024
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.983
      </sumStat>
      <sumStat type="stdev">
        1.818
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.761
      </sumStat>
      <txt>
        Individual identification number (usually the individual line number in the household).
      </txt>
      <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 cross-sectional datasets,  both CASESER and PNUM are used to uniquely identify an individual. While in panel data, the ROUND, CASESER and PNUM are required to uniquely identify a certain individual. 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V694" name="PWEIGHT" wgt="wgt" files="F14" dcml="2" intrvl="contin">
      <location StartPos="17" EndPos="21" width="5" RecSegNo="1"/>
      <labl>
        Individual weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.302568288767736" max="609.871356978226"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.67
      </sumStat>
      <sumStat type="max">
        42.83
      </sumStat>
      <sumStat type="mean">
        15.767
      </sumStat>
      <sumStat type="stdev">
        7.751
      </sumStat>
      <txt>
        Data-provider individual weight.
      </txt>
      <codInstr>
        Original survey variable recoded/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 an individual 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
----------------------------------
The weight is missing for 15 case in the original data.]]>
      </notes>
    </var>
    <var ID="V695" name="REG" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="27" width="6" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="788011" max="788063"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence.
      </txt>
      <catgry>
        <catValu>
          788011
        </catValu>
        <labl>
          Tunis
        </labl>
        <catStat type="freq">
          28468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          996582.25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788012
        </catValu>
        <labl>
          Ariana
        </labl>
        <catStat type="freq">
          22469
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          484282.18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788013
        </catValu>
        <labl>
          Ben Arous
        </labl>
        <catStat type="freq">
          24788
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          565349.7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788014
        </catValu>
        <labl>
          Mannouba
        </labl>
        <catStat type="freq">
          27986
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          362349.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788015
        </catValu>
        <labl>
          Nabeul
        </labl>
        <catStat type="freq">
          28152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          742407.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788016
        </catValu>
        <labl>
          Zaghouan
        </labl>
        <catStat type="freq">
          23774
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          168524.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788017
        </catValu>
        <labl>
          Bizerte
        </labl>
        <catStat type="freq">
          28806
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          542034.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788021
        </catValu>
        <labl>
          Beja
        </labl>
        <catStat type="freq">
          26860
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          304644.1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788022
        </catValu>
        <labl>
          Jendouba
        </labl>
        <catStat type="freq">
          27491
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          421374.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788023
        </catValu>
        <labl>
          Lekef
        </labl>
        <catStat type="freq">
          25076
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          256271.18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788024
        </catValu>
        <labl>
          Siliana
        </labl>
        <catStat type="freq">
          30844
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          233099.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788031
        </catValu>
        <labl>
          Sousse
        </labl>
        <catStat type="freq">
          27959
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          599787.38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788032
        </catValu>
        <labl>
          Monastir
        </labl>
        <catStat type="freq">
          24395
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          503378.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788033
        </catValu>
        <labl>
          Mahdia
        </labl>
        <catStat type="freq">
          28718
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          392001.59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788034
        </catValu>
        <labl>
          Sfax
        </labl>
        <catStat type="freq">
          31229
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          915725.87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788041
        </catValu>
        <labl>
          Kairouan
        </labl>
        <catStat type="freq">
          32282
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          556637.82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788042
        </catValu>
        <labl>
          Kasserine
        </labl>
        <catStat type="freq">
          31211
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          427628.77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788043
        </catValu>
        <labl>
          Sidi Bouzid
        </labl>
        <catStat type="freq">
          32685
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          408735.82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788051
        </catValu>
        <labl>
          Gabes
        </labl>
        <catStat type="freq">
          27426
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          357312.43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788052
        </catValu>
        <labl>
          Mednine
        </labl>
        <catStat type="freq">
          27166
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          450937.51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788053
        </catValu>
        <labl>
          Tataouine
        </labl>
        <catStat type="freq">
          26077
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          145021.97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788061
        </catValu>
        <labl>
          Gafsa
        </labl>
        <catStat type="freq">
          29016
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          334548.75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788062
        </catValu>
        <labl>
          Tozeur
        </labl>
        <catStat type="freq">
          23280
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102095.19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788063
        </catValu>
        <labl>
          Kebili
        </labl>
        <catStat type="freq">
          24693
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          148992.07
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
To generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.
This is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.


COUNTRY SPECIFIC NOTES
----------------------------------
The Governorate is missing for 24 household / 96 individual in the original data.]]>
      </notes>
    </var>
    <var ID="V696" name="GREGION" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Grand Region
      </labl>
      <valrng>
        <range min="1" max="7"/>
      </valrng>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          District of Tunis
        </labl>
        <catStat type="freq">
          103711
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Northeast
        </labl>
        <catStat type="freq">
          80732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Northwest
        </labl>
        <catStat type="freq">
          110271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Center East
        </labl>
        <catStat type="freq">
          112301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Center West
        </labl>
        <catStat type="freq">
          96178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Southeast
        </labl>
        <catStat type="freq">
          80669
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Southwest
        </labl>
        <catStat type="freq">
          76989
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V697" name="RURURB" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="29" EndPos="29" 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">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </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">
          256073
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3552913.55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          404778
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6866808.39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case the country has refugee camps (as in Palestine), the "refugee camp" category is coded "2".

COUNTRY SPECIFIC NOTES
----------------------------------
The Urban/Rural residence is missing for 25 household / 100 individual in the original data.]]>
      </notes>
    </var>
    <var ID="V698" name="AGE" wgt-var="V694" files="F14" dcml="0" intrvl="contin">
      <location StartPos="30" EndPos="31" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="76"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660783
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10418775.08
      </sumStat>
      <sumStat type="invd">
        68
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        946.86
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        90
      </sumStat>
      <sumStat type="mean">
        31.416
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        30.836
      </sumStat>
      <sumStat type="stdev">
        20.761
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        19.953
      </sumStat>
      <txt>
        Age in completed 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, the age may be calculated at a certain reference date (e.g., 31 December of the year preceding the survey). 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).

In some surveys, the date of birth is reported instead of reporting the age value. In such cases, it should be computed based on the date of birth and the survey year.

COUNTRY SPECIFIC NOTES
----------------------------------
Age is missing in 15 case in the original data.]]>
      </notes>
    </var>
    <var ID="V699" name="SEX" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="32" EndPos="32" width="1" RecSegNo="1"/>
      <labl>
        Gender
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicator for the gender of the individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          324926
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5210743.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          335925
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5208977.98
        </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="V700" name="MART" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Marital status [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage &amp; partnership (even if not married, an individual can still be legally recognized as being in a relationship).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          364419
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5789612.05
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          267291
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4205562.82
        </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">
          3847
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63769.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          25195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          359385.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          99
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1391.88
        </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 male head. For the other individuals, we consider those having the status married as monogamous.


COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was generated for the head of the household only if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V701" name="MART_D" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="37" width="3" RecSegNo="1"/>
      <labl>
        Marital status [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419721.94
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Detailed legal administrative status concerning marriage &amp; partnership (even if not married, an individual can still be legally recognized as being in a relationship).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          364419
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5789612.05
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          267291
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4205562.82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          3847
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63769.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          25195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          359385.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          99
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1391.88
        </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 male head. For the other individuals we consider those having the status married as monogamous. 
This variable distinguishes also between legal marriage and marriage, and between separation and divorce. 


COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was generated for the head of the household only if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V702" name="REL" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Relationship to head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660801
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419049.7
      </sumStat>
      <sumStat type="invd">
        50
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        672.24
      </sumStat>
      <txt>
        <![CDATA[Relationship to the head of household, where the value '1' always stands for the head of the household him/herself.
The value "other relatives" includes nephew and niece, grandparents, sons/daughters in law, etc.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          157756
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2468306.27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          123257
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1966296.13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          344542
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5438590.93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/mother (parents)
        </labl>
        <catStat type="freq">
          6471
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80380.21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          10434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158153.37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          14915
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237950.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          3426
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69372.39
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          672.24
        </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
----------------------------------
10 collective households were detected. No head is identified for such HHs. Thus, the relation of all members to the head in those HHs is recoded missing.]]>
      </notes>
    </var>
    <var ID="V703" name="REL_D" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="41" width="3" RecSegNo="1"/>
      <labl>
        Relationship to head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="850"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        660801
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        10419049.7
      </sumStat>
      <sumStat type="invd">
        50
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        672.24
      </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 to the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          157756
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2468306.27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          123257
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1966296.13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          344542
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5438590.93
        </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">
          6471
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80380.21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          10434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158153.37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          10389
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169692.29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
        <catStat type="freq">
          4526
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68258.11
        </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>
          740
        </catValu>
        <labl>
          Brother/sister in law
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Nephew/niece
        </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">
          3426
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69372.39
        </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 missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          672.24
        </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
----------------------------------
10 collective households were detected. No head is identified for such HHs. Thus, the relation of all members to the head in those HHs is recoded missing.]]>
      </notes>
    </var>
    <var ID="V704" name="EDUC" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="42" EndPos="43" 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">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        556814
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8774241.07
      </sumStat>
      <sumStat type="invd">
        104037
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1645480.87
      </sumStat>
      <txt>
        This variable should indicate the highest level of education attained/ completed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          124106
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1705477.05
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          188806
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2940713.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          193313
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3163935.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          49437
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          945580.82
        </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">
          1152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18533.99
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          104037
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1645480.87
        </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 generated based on the highest educational attainment variable.
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education.
If there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. 
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended 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 individual 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, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. 
If there is no question on the 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.


COUNTRY SPECIFIC NOTES
----------------------------------
It is worth noting that no documentation specifies whether the education status variable "V_0_244_i" provided in the original data indicates the highest level of education "attained" or the highest level "successfully completed". Since it is the ONLY variable provided, it was used for harmonization purposes. It should also be noted that, large inconsistencies were detected between the age and this variable. However, no corrections could be one.]]>
      </notes>
    </var>
    <var ID="V705" name="EDUC_D" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="44" EndPos="46" width="3" RecSegNo="1"/>
      <labl>
        <![CDATA[Educational level  [Detailed version]]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        556814
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        8774241.07
      </sumStat>
      <sumStat type="invd">
        104037
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1645480.87
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          124106
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1705477.05
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          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">
          188806
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2940713.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          193313
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3163935.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          49437
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          945580.82
        </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">
          1152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18533.99
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          104037
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1645480.87
        </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
----------------------------------
It is worth noting that no documentation specifies whether the education status variable "V_0_244_i" provided in the original data indicates the highest level of education "attained" or the highest level "successfully completed". Since it is the ONLY variable provided, it was used for harmonization purposes. It should also be noted that, large inconsistencies were detected between the age and this variable. However, no corrections could be one.]]>
      </notes>
    </var>
    <var ID="V706" name="LFS" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="48" width="2" RecSegNo="1"/>
      <labl>
        Labor force status in the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        499048
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7931735.79
      </sumStat>
      <sumStat type="invd">
        161803
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2487986.15
      </sumStat>
      <txt>
        The current labor force status should distinguish between the active (employed or unemployed) and inactive individuals (out of the labor force).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Active
        </labl>
        <catStat type="freq">
          221168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3689139.05
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
        <catStat type="freq">
          277880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4242596.74
        </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">
          161803
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2487986.15
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Individuals are considered "active" in the labor 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 seek a job are considered inactive.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V707" name="MAS" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Main activity status in the reference period [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        499048
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7931735.79
      </sumStat>
      <sumStat type="invd">
        161803
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2487986.15
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, which 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">
          190562
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3198855.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          30606
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          490283.15
        </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">
          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">
          277880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4242596.74
        </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">
          161803
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2487986.15
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Unlike LFS, the main distinction in MAS is between “employed” and “not employed.”
- “Employed”: refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). 
- “Not Employed”: The rationale is that the individuals do not generally spend their time “being unemployed,” but use the unemployment time 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 their own category among the “Not Employed.”
Accordingly, "Not Employed" is classified into:
 - Unemployed - individuals who are not employed comprise all who are "not in employment" but "currently available to take up employment" and carry out "activities to seek employment", 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, homemakers, pensioners, disabled, etc.

COUNTRY SPECIFIC NOTES
----------------------------------
"Others" category in this variable includes all inactive individuals whether housemaker, student, pensioners, retired, or disabled .]]>
      </notes>
    </var>
    <var ID="V708" name="MAS_D" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="53" width="3" RecSegNo="1"/>
      <labl>
        Main activity status in the reference period [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        499048
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        7931735.79
      </sumStat>
      <sumStat type="invd">
        161803
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2487986.15
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, which 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 also distinguishes between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          190562
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3198855.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </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>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          30606
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          490283.15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </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>
          400
        </catValu>
        <labl>
          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">
          277880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4242596.74
        </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>
          Discouraged unemployment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </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>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </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">
          161803
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2487986.15
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Among the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.

Similarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.

The code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he/she is still paid/earn income.

The reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).
 
Discouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and/or were met with lack of success when applying.

Family responsibilities includes taking caring for children, the incapacitated or elderly.


COUNTRY SPECIFIC NOTES
----------------------------------
"Others" category in this variable includes all inactive individuals whether housemaker, student, pensioners, retired, or disabled .]]>
      </notes>
    </var>
    <var ID="V709" name="EMPS" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        Status of employment in the main job during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        190562
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3198855.9
      </sumStat>
      <sumStat type="invd">
        470289
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7220866.04
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in the main job, ideally following the ICSE classification (1993)..
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          190562
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3198855.9
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          470289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7220866.04
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Definitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.
- Employee includes anyone who works for a public or private employer and 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 payment is based on an explicit (written or oral) or implicit employment contract. 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 individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.
- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services 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 (e.g., freelancer, individual who gives private lessons or apprentices without payment).
- Members of producers’ cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.
- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) 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. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.
- 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.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V710" name="OCC" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        190562
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3198855.9
      </sumStat>
      <sumStat type="invd">
        470289
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7220866.04
      </sumStat>
      <txt>
        Standardized occupation classification for the main job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          14037
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249810.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          11864
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          226299.31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          15272
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          261753.5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          9478
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          174841.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          23561
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          409891.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          29823
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          411691.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          22350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          400351.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          18489
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          346632.12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          36954
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          585293.29
        </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">
          8734
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132290.62
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          470289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7220866.04
        </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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V711" name="OCC_UNREC" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        190562
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3198855.9
      </sumStat>
      <sumStat type="invd">
        470289
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7220866.04
      </sumStat>
      <txt>
        Occupation classification of the main job- an unrecoded version presenting codes as collected and received in the original dataset.
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          947
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17473.25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          3181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63134.98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          9909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169202.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          1954
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42658.27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          1175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24830.79
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          7033
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          1702
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34119.25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          3736
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          65856.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          2879
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50076.53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          5548
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84690.65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          3109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61129.87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          7569
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          138306.03
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          1909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36535.57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          11720
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          205747.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          11841
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          204143.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          21239
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          286273.29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          8584
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          125418.61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          9469
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          161021.01
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          5816
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          107852.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          704
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14482.63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          6361
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          116995.65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          863
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16198.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          8156
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166185.03
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          9470
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          164248.37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          9748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169145.1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related labourers
        </labl>
        <catStat type="freq">
          6761
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97367.17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Labourers in mining, construction, manufacturing and transpo
        </labl>
        <catStat type="freq">
          20445
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          318781.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <catStat type="freq">
          8734
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132290.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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">
          470289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7220866.04
        </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="V712" name="IND" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="63" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        190562
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3198855.9
      </sumStat>
      <sumStat type="invd">
        470289
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7220866.04
      </sumStat>
      <txt>
        Standardized economic activity classification for the main job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          41443
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          578848.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          623
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7161.58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          29027
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          564747.82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          1544
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28011.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          25804
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          413191.86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          21462
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          379473.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          6936
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129615.67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Transportation and Telecommunications
        </labl>
        <catStat type="freq">
          10532
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          189080.19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          1251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27192.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          6568
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127846.73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          8071
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          139950.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          145
        </catValu>
        <labl>
          Education services, health and public administration
        </labl>
        <catStat type="freq">
          35370
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          583655.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1187.83
        </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">
          1882
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28892.09
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          470289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7220866.04
        </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 to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.
The category "Wholesale and retail trade" includes the repair activities of motor vehicles and motorcycles.
The category "Real estate, administrative, professional and support service activities" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.

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: transportation is already grouped with telecommunications 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: 1- Transportation and telecommunications will be coded 85 between the codes 70 and 90. 2- Education services, health and public administration will be coded 145 following the codes 120, 130 and 140.)]]>
      </notes>
    </var>
    <var ID="V713" name="IND_UNREC" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job [Unrecoded version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        188680
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3169963.81
      </sumStat>
      <sumStat type="invd">
        472171
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7249758.13
      </sumStat>
      <txt>
        Economic activity classification of the main job- an unrecoded version presenting codes as collected and received in the original dataset.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Agriculture, hunting, and fishing
        </labl>
        <catStat type="freq">
          41443
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          578848.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agricultural and food industries
        </labl>
        <catStat type="freq">
          3563
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67098.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Building materials, ceramics and glass
        </labl>
        <catStat type="freq">
          2054
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36390.04
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Mechanical and electrical industries
        </labl>
        <catStat type="freq">
          5312
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103205.35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Chemical industry
        </labl>
        <catStat type="freq">
          1323
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24855.53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Textile and clothing, leather and footwear
        </labl>
        <catStat type="freq">
          12397
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          243549.11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Other manufacturing industries
        </labl>
        <catStat type="freq">
          4378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89648.89
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Mines
        </labl>
        <catStat type="freq">
          623
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7161.58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Extr.raf.pet gas
        </labl>
        <catStat type="freq">
          454
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8826.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Production and distribution of electricity
        </labl>
        <catStat type="freq">
          666
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12169.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Production and distribution of water
        </labl>
        <catStat type="freq">
          424
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7015.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Construction &amp; Public Works
        </labl>
        <catStat type="freq">
          25804
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          413191.86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Trade
        </labl>
        <catStat type="freq">
          21462
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          379473.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Transportation and Telecommunications
        </labl>
        <catStat type="freq">
          8660
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          153120.03
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <catStat type="freq">
          1872
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35960.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          6936
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129615.67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Banks and Insurances
        </labl>
        <catStat type="freq">
          1251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27192.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Repairs and real estate services
        </labl>
        <catStat type="freq">
          6568
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127846.73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Social and cultural services
        </labl>
        <catStat type="freq">
          8071
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          139950.76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Education services, health and public administration
        </labl>
        <catStat type="freq">
          35370
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          583655.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1187.83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not Stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          472171
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7249758.13
        </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="V714" name="SECTOR" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        190562
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3198855.9
      </sumStat>
      <sumStat type="invd">
        470289
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7220866.04
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          190562
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3198855.9
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          470289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7220866.04
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Quasi-public sectors are considered as public. 
In the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.
Cooperative includes employees in joint ventures.
Foreign includes workers in international NGOs.
Others includes workers in national NGOs and in private households.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V715" name="SECTOR_D" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="70" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the main job [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        190562
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3198855.9
      </sumStat>
      <sumStat type="invd">
        470289
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7220866.04
      </sumStat>
      <txt>
        This variable distinguishes between different types of public and private sectors as well as other types of sectors (foreign, cooperative, etc.).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </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>
          Others
        </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 associations
        </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">
          190562
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3198855.9
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          470289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7220866.04
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The classification of those working inside or outside an establishment in different sectors can be further studied using the variable "ESTAB".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V716" name="WRKPLC" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Workplace of the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        190562
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3198855.9
      </sumStat>
      <sumStat type="invd">
        470289
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        7220866.04
      </sumStat>
      <txt>
        This variable provides information on the place where the individual actually carries out the main job work, whether it is inside or outside an establishment.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          In individual's home
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          In someone else's home
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          In premises adjacent to home
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          In exclusive premises
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Street vendor with fixed/semi-fixed location
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Street vendor with mobile location
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Kiosk/hut
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Transportation vehicle
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Construction site
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture land/maritime area
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          190562
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3198855.9
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          470289
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7220866.04
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
- All individuals working at/from their own homes or at someone else's home can be denoted home-based workers or home workers.
- The typical workplace for domestic workers is "someone else's home."
-Premises adjacent to home are a separate unit attached to the respondent's home (e.g. a doctor's clinic, or farmer's field or building, adjacent to the place of residence).
- Exclusive premises include ministry, department, commercial store, office, factory, school, hospital, hotel, restaurant, workshop, company etc.
Most of the exclusive premises, except for the governmental entities, might be public, private, foreign or mixed.
- Workers in transportation and construction sites, codes 8 and 9, undertake their activities in the streets but they should not be combined with street vendors.
For those working outside an establishment, this variable can serve in identifying those working in the informal sector.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V717" name="LVPRVJ_R" wgt-var="V694" files="F14" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        Reason for leaving the previous/last held job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10419721.94
      </sumStat>
      <txt>
        This variable indicates the main reason for which a previously employed individual had stopped working in the previous/last held job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Permanent/Temporary lay-off
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer/Self-employed activity stoppage
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Job contract ended
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Resignation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Full-time education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Personal/Family conditions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Retirement
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Illness or disability
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Military services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Work conditions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          660851
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10419721.94
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Work conditions may include inappropriate work location, inappropriate working hours, mismatch between occupation and qualifications, etc.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V718" name="SRCHDUR" wgt-var="V694" files="F14" dcml="0" intrvl="contin">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Job search duration in months
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        660851
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        10419721.94
      </sumStat>
      <txt>
        The variable reports the number of months during which the unemployed individual has been searching for a job.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The period of search reported should be the last continuous period of active search without significant interruption (significant may imply active search efforts for a continuous period of at least four weeks).


COUNTRY SPECIFIC NOTES
----------------------------------
The job searching duration is missing for 551 case in the original data.]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
