<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="PAL_LFS_2011_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>
          PAL_LFS_2011_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="2016-10">
          2016-10
        </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>
          Labor Force Survey, LFS 2011
        </titl>
        <altTitl>
          LFS
        </altTitl>
        <IDNo>
          PAL_LFS_2011_HD_V1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Economic Research Forum
        </AuthEnty>
        <AuthEnty affiliation="Palestinian National Authority">
          Palestinian Central Bureau of Statistics
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) 2016, Economic Research Forum | (c) 2011, Palestinian Central Bureau of Statistics
        </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>
          The Palestinian Labour Force Survey Programme consists of an integrated series of labour force surveys, the first of which was issued in October 1995. This programme conducts surveys quarterly.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2016-10">
          V1.0: 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">
          Nationality and immigration
        </topcClas>
        <topcClas vocab="ERF">
          Labor Force
        </topcClas>
        <topcClas vocab="ERF">
          Employment
        </topcClas>
        <topcClas vocab="ERF">
          Unemployment
        </topcClas>
        <topcClas vocab="ERF">
          Wages and incomes
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[<p style="border:solid thin black;"> THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS</p> 

The Palestinian Central Bureau of Statistics (PCBS) carried out four rounds of the Labor Force Survey 2011 (LFS). The survey rounds covered a total sample of about 31,190 households, and the number of completed questionaire is 28,083.

The importance of this survey lies in that it focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.

The survey main objectives are:
- To estimate the labor force and its percentage to the population.
- To estimate the number of employed individuals.
- To analyze labour force according to gender, employment status, educational level, occupation and economic activity.
- To provide information about the main changes in the labour market structure and its socio economic characteristics.
- To estimate the numbers of unemployed individuals and analyze their general characteristics.
- To estimate the rate of working hours and wages for employed individuals in addition to analyze of other characteristics.

The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.]]>
      </abstract>
      <sumDscr>
        <collDate date="2011-01-01" event="start" cycle="First round"/>
        <collDate date="2011-03-31" event="end" cycle="First round"/>
        <collDate date="2011-04-01" event="start" cycle="Second round"/>
        <collDate date="2011-06-30" event="end" cycle="Second round"/>
        <collDate date="2011-07-01" event="start" cycle="Third round"/>
        <collDate date="2011-09-30" event="end" cycle="Third round"/>
        <collDate date="2011-10-01" event="start" cycle="Fourth round"/>
        <collDate date="2011-12-31" event="end" cycle="Fourth round"/>
        <nation abbr="PAL">
          Palestine
        </nation>
        <geogCover>
          Covering a representative sample on the region level (West Bank, Gaza Strip), the locality type (urban, rural, camp) and the governorates.
        </geogCover>
        <anlyUnit>
          <![CDATA[1- Household/family.
2- Individual/person.]]>
        </anlyUnit>
        <universe>
          The survey covered all Palestinian households who are a usual residence of the Palestinian Territory.
        </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, dwelling characteristics and ownership of durables.

Individual: Includes demographics, nationality and immigration, education, current labor status, main, secondary and last held job characteristics, wages and incomes, unemployment characteristics and inactivity reason(s).]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="PCBS" affiliation="Palestinian National Authority">
          Palestinian Central Bureau of Statistics
        </dataCollector>
        <sampProc>
          <![CDATA[<p style="border:solid thin black;"> THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY  THE PALESTINIAN CENTRAL BUREAU OF STATISTICS</p> 

The methodology was designed according to the context of the survey, international standards, data processing requirements and comparability of outputs with other related surveys.

---> Target Population:
It consists of all Palestinian households who are staying normally in the Palestinian Territory (west bank and gaza strip) during the year of 2011. 

---> Sampling Frame:
The sampling frame consists of all enumeration areas which were enumerated in 2007, each numeration area consists of buildings and housing units with average of about 124 households. These enumeration areas are used as primary sampling units (PSUs) in the first stage of the sampling selection. 

---> Sampling Size:
The sample size was about 7,820 households in the 60th round and 7,802 households in the 61th round, and 7,784 households in the 62th round and 7,784 households in the 63th round, and there is 50% overlapping among households between each two consecutive rounds. 

---> Sample Design
The sample of the Labor Force Survey (LFS) which implemented periodically every quarter by PCBS since 1995, so this survey implement every quarter in the year 2011(distributed over 13 weeks). 
The sample is two stage stratified cluster sample with two stages : 
First stage: we select a systematic random sample of 502 enumeration areas for the whole round, and we excluded the enumeration areas which its sizes less than 40 households. 
Second stage: we select a systematic random sample of 16 households from each enumeration area selected in the first stage, se we select a systematic random of 16 households of the enumeration areas which its size is 80 household and over and the enumeration areas which its size is less than 80 households we select systematic random of 8 households. 

---> Sample strata: 
The population was divided by: 
1- Governorate (16 governorate) 
2- Type of Locality (urban, rural, refugee camps). 

---> Sample Rotation:
Each round of the Labor Force Survey covers all of the 502 master sample enumeration areas. Basically, the areas remain fixed over time, but households in 50% of the EAs are replaced each round. The same household remains in the sample for 2 consecutive rounds, left for the next two rounds, then selected for the sample for another two consecutive rounds before it is dropped from the sample. A 50% overlap is then achieved between both consecutive rounds and between consecutive years (making the sample efficient for monitoring purposes).]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[The survey questionnaire was designed according to the International Labour Organization (ILO) recommendations. The questionnaire includes four main parts:

---> 1. Identification Data:
The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.

---> 2. Quality Control:
This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.

---> 3. Household Roster:
This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc.

---> 4. Employment Part:
This part involves the major research indicators, where one questionnaire had been answered by every 15 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.]]>
        </resInstru>
        <sources/>
        <weight>
          <![CDATA[The weight of statistical units (sampling unit) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is two stage stratified cluster sample, so In the first stage, we calculate the weight of enumeration areas which depending on the probability of each enumeration area(a systematic random sample), then In the second stage we calculate weight of households in each enumeration area, Initial households weights resulted from product of weight of first stage and weight of second stage, final households weights obtained after adjustment of initial weights with the households estimates mid 2011 on the level of design strata (governorate, locality type). 
For the 10years and over persons file we add the final household weight for each person ,then we adjust the initial person weight with the persons estimates mid of 2011 on the level of (Region (west bank, gaza strip), Sex (male, female), Five -year age groups(14 groups)) then we obtain the final adjusted person weight.]]>
        </weight>
        <cleanOps>
          <![CDATA[---> Raw Data
The data processing stage consisted of the following operations: 
1. Editing and coding before data entry: All questionnaires were edited and coded in the office using the same instructions adopted for editing in the field. 
2. Data entry: At this stage, data was entered into the computer using a data entry template designed in Access. The data entry program was prepared to satisfy a number of requirements such as: 
- Duplication of the questionnaires on the computer screen. 
- Logical and consistency check of data entered. 
- Possibility for internal editing of question answers. 
- Maintaining a minimum of digital data entry and fieldwork errors. 
- User friendly handling. 
Possibility of transferring data into another format to be used and analyzed using other statistical analytic systems such as SPSS. 

---> Harmonized Data
- The SPSS package is used to clean and harmonize the datasets.
- The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
- All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
- A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
- A post-harmonization cleaning process is then conducted on the data.
- Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.]]>
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <respRate>
          The survey sample consists of about 31,190 households in 2011, which 28,083 households completed the interview; whereas 18,650 households from the West Bank and 9,433 households in Gaza Strip. Weights were modified to account for non-response rate. The response rate in the West Bank reached 95% while in the Gaza Strip it reached 96%.
        </respRate>
        <EstSmpErr>
          <![CDATA[---> Sampling Errors
Data of this survey affected by sampling errors due to use of the sample and not a complete enumeration. Therefore, certain differences are expected in comparison with the real values obtained through censuses. Variance were calculated for the most important indicators, the variance table is attached with the final report. There is no problem to disseminate results at the national level and government level. 

---> Non-Sampling Errors
Non-statistical errors are probable in all stages of the project, during data collection or processing. This is referred to as non-response errors, response errors, interviewing errors, and data entry errors. To avoid errors and reduce their effects, great efforts were made to train the fieldworkers intensively. They were trained on how to carry out the interview, what to discuss and what to avoid, carrying out a pilot survey, as well as practical and theoretical training during the training course. 
Also data entry staff were trained on the data entry program that was examined before starting the data entry process. To stay in contact with progress of fieldwork activities and to limit obstacles, there was continuous contact with the fieldwork team through regular visits to the field and regular meetings with them during the different field visits. Problems faced by fieldworkers were discussed to clarify any issues. 
Non-sampling errors can occur at the various stages of survey implementation whether in data collection or in data processing. They are generally difficult to be evaluated statistically. They cover a wide range of errors, including errors resulting from non-response, sampling frame coverage, coding and classification, data processing, and survey response (both respondent and interviewer-related). The use of effective training and supervision and the careful design of questions have direct bearing on limiting the magnitude of non-sampling errors, and hence enhancing the quality of the resulting data. 
The implementation of the survey encountered non-response where the case (household was not present at home) during the fieldwork visit and the case (housing unit is vacant) become the high percentage of the non response cases. The total non-response rate reached 4.7% which is very low once compared to the household surveys conducted by PCBS, The refusal rate reached 0.8% which is very low percentage compared to the household surveys conducted by PCBS, and the reason is the short and clear questionnaire.]]>
        </EstSmpErr>
        <dataAppr>
          <![CDATA[Errors in data processing, such as coding and punching. The data underwent checking and completion of missing information in the office and logical checks were computerized as well as manually, including call-backs if needed.
Response errors which resulted from misunderstanding of the questions, interviewers’ bias in asking the questions and in probing. Thorough training, supervision, and various quality control checks were used to minimize bias resulting from these kinds of errors.]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement.

The data will be used only for scholarly research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.]]>
        </confDec>
        <contact affiliation="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 Palestinian Central Bureau of Statistics as follows:

OAMDI, 2016. Harmonized Labor Force Surveys (HLFS), http://erf.org.eg/data-portal/. Version 1.0 of Licensed Data Files; LFS 2011- Palestinian Central Bureau of Statistics (PCBS). Egypt: Economic Research Forum (ERF).]]>
        </citReq>
        <conditions>
          Licensed datasets, accessible under conditions.
        </conditions>
        <disclaimer>
          The Economic Research Forum and the Palestinian Central Bureau of Statistics have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F28" URI="PAL_LFS_2011_HD_V1.Nesstar?Index=0&amp;Name=Palestine11-LFS HH-V1">
    <fileTxt>
      <fileName>
        Palestine11-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 paneled households.]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F29" keyvar="V2550 V2553 V2554"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          28082
        </caseQnty>
        <varQnty>
          92
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F29" URI="PAL_LFS_2011_HD_V1.Nesstar?Index=1&amp;Name=Palestine11-LFS IND-V1">
    <fileTxt>
      <fileName>
        Palestine11-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="F28" keyvar="V2642 V2645 V2646 V2648 V2649"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          117360
        </caseQnty>
        <varQnty>
          87
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="section" varGrp="VG3 VG4 VG5 VG22 VG8 VG9 VG6 VG7">
      <labl>
        Household
      </labl>
    </varGrp>
    <varGrp ID="VG2" type="section" varGrp="VG10 VG11 VG12 VG13 VG14 VG15 VG16 VG17 VG18 VG19 VG20 VG21">
      <labl>
        Individual
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V2548 V2549 V2550 V2551 V2552 V2553 V2554 V2555">
      <labl>
        File identification and information
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V2556 V2557 V2558">
      <labl>
        Geographical characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V2559 V2560 V2561">
      <labl>
        Household composition
      </labl>
    </varGrp>
    <varGrp ID="VG6" type="subject">
      <labl>
        Dwelling characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG7" type="subject">
      <labl>
        Ownership of assets
      </labl>
    </varGrp>
    <varGrp ID="VG8" type="subject" var="V2574 V2578 V2582 V2583 V2584 V2588 V2592 V2596 V2600 V2604 V2608 V2612 V2616 V2620 V2624 V2628 V2636 V2632">
      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG9" type="subject" var="V2575 V2576 V2577 V2579 V2580 V2581 V2585 V2586 V2587 V2589 V2590 V2591 V2593 V2594 V2595 V2597 V2598 V2599 V2601 V2602 V2603 V2605 V2606 V2607 V2609 V2610 V2611 V2613 V2614 V2615 V2617 V2618 V2619 V2621 V2622 V2623 V2625 V2626 V2627 V2629 V2630 V2631 V2637 V2638 V2639 V2633 V2634 V2635">
      <labl>
        Spouse's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V2640 V2641 V2642 V2643 V2644 V2645 V2646 V2648 V2649 V2647 V2650">
      <labl>
        File identification and information
      </labl>
    </varGrp>
    <varGrp ID="VG11" type="subject" var="V2651 V2652 V2653 V2640">
      <labl>
        Geographical characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG12" type="subject" var="V2654 V2655 V2656 V2657 V2658 V2659">
      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG13" type="subject">
      <labl>
        Nationality and Immigration
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V2660 V2661 V2662 V2663 V2664 V2665 V2666 V2667">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V2668 V2669 V2670">
      <labl>
        Current labor status
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V2671 V2672 V2673 V2674 V2675 V2676 V2677 V2678 V2689 V2690 V2691 V2692 V2693 V2694 V2695 V2696 V2697 V2698 V2699 V2679 V2680 V2681 V2682 V2683 V2684 V2685 V2686 V2687 V2688">
      <labl>
        Employment in main job
      </labl>
    </varGrp>
    <varGrp ID="VG17" type="subject" var="V2700">
      <labl>
        Wages and incomes
      </labl>
    </varGrp>
    <varGrp ID="VG18" type="subject" var="V2701 V2702 V2703 V2704 V2705 V2706 V2707 V2708 V2709 V2710 V2711">
      <labl>
        Employment in secondary job
      </labl>
    </varGrp>
    <varGrp ID="VG19" type="subject" var="V2712 V2713 V2714 V2715 V2716 V2717 V2718 V2719">
      <labl>
        Last held job characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V2720 V2721 V2722 V2723 V2724 V2725">
      <labl>
        Unemployment characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG21" type="subject" var="V2726">
      <labl>
        Inactivity reason(s)
      </labl>
    </varGrp>
    <varGrp ID="VG22" type="subject" var="V2562 V2563 V2564 V2565 V2566 V2567 V2568 V2569 V2570 V2571 V2572 V2573">
      <labl>
        LFS classification of household members
      </labl>
    </varGrp>
    <var ID="V2548" name="COUNTRY" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </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>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          28082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714928.032
        </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="V2549" name="YEAR" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2011" max="2011"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed.
      </txt>
      <catgry>
        <catValu>
          2011
        </catValu>
        <catStat type="freq">
          28082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714928.032
        </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="V2550" name="ROUND" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Survey round
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the round during which the household was observed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          7136
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178740.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          7131
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178740.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          6906
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178740.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          6909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178708.028
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The data collection of the LFSs might be conducted over several rounds during the survey year. This variable will be then generated in the datasets for which the collection was done over at least 2 rounds to indicate the round number during which each household was observed.
In the case of panel data, the same household ID may have different round numbers indicating different observations of the same household during the survey year.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF.]]>
      </notes>
    </var>
    <var ID="V2551" name="DTYPE" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="9" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </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>
          2
        </catValu>
        <labl>
          Panel
        </labl>
        <catStat type="freq">
          28082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714928.032
        </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 2 since the data is panel.
A check on paneled households and individuals was conducted.
Some inconsistencies were detected across rounds in paneled observations. 
Only some cases could be corrected, particularly in time-invariant characteristics, however the most appropriate method to deal with the rest was left to the user's judgement.]]>
      </notes>
    </var>
    <var ID="V2552" name="DREP" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        Household repetition over rounds
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="34"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        For the panel as well as the fresh sample, this variable should indicate the round(s) over which a certain household was interviewed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          First round only
        </labl>
        <catStat type="freq">
          3626
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89100.894
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Second round only
        </labl>
        <catStat type="freq">
          221
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5479.953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Third round only
        </labl>
        <catStat type="freq">
          3502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          91670.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Fourth round only
        </labl>
        <catStat type="freq">
          6905
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178617.196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          First and second rounds
        </labl>
        <catStat type="freq">
          7020
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178667.607
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          First and third rounds
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          First and fourth rounds
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Second and third rounds
        </labl>
        <catStat type="freq">
          6800
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          171209.947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Second and fourth rounds
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Third and fourth rounds
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          181.777
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is generated only in the case of panel data. In case of cross-sectional data, this variable should typically be similar to the "ROUND" variable.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2553" name="CASESER" wgt-var="V2555" files="F28" dcml="0" intrvl="contin">
      <location StartPos="12" EndPos="18" width="7" RecSegNo="1"/>
      <labl>
        Unique household identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1002" max="1263866"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1002
      </sumStat>
      <sumStat type="max">
        1263866
      </sumStat>
      <sumStat type="mean">
        738740.94
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        741210.84
      </sumStat>
      <sumStat type="stdev">
        272094.073
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        273866.97
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2554" name="HPNLID" wgt-var="V2555" files="F28" dcml="0" intrvl="contin">
      <location StartPos="19" EndPos="25" width="7" RecSegNo="1"/>
      <labl>
        Household panel identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1103" max="1223896"/>
      </valrng>
      <universe clusion="I">
        Paneled households
      </universe>
      <sumStat type="vald">
        13828
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        350059.332
      </sumStat>
      <sumStat type="invd">
        14254
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        364868.7
      </sumStat>
      <sumStat type="min">
        1103
      </sumStat>
      <sumStat type="max">
        1223896
      </sumStat>
      <sumStat type="mean">
        1170541.402
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1170049.383
      </sumStat>
      <sumStat type="stdev">
        53809.533
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        53669.645
      </sumStat>
      <txt>
        This variable should indicate the identifiers of paneled households only, either those observed across different rounds during the survey year or across two successive years, depending on the sampling design.
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This identifier should be available for the paneled households only, and is unique within EACH round. It should be used to merge the panel data of households observed over several rounds. In some datasets, for the paneled households only, this variable might be similar to CASESER.


COUNTRY SPECIFIC NOTES
----------------------------------
Provided for paneled households and individuals only]]>
      </notes>
    </var>
    <var ID="V2555" name="HWEIGHT" wgt="wgt" files="F28" dcml="2" intrvl="contin">
      <location StartPos="26" EndPos="30" width="5" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="3.18689372709635" max="86.4911739616183"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        3.187
      </sumStat>
      <sumStat type="max">
        86.491
      </sumStat>
      <sumStat type="mean">
        25.459
      </sumStat>
      <sumStat type="stdev">
        12.515
      </sumStat>
      <txt>
        Data provider household weight.
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. 
We strongly recommend that all statistical analysis be performed using the data weights.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2556" name="REG" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="31" EndPos="36" width="6" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="275001" max="275002"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence.
      </txt>
      <catgry>
        <catValu>
          275001
        </catValu>
        <labl>
          West bank
        </labl>
        <catStat type="freq">
          18649
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          469365.329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275002
        </catValu>
        <labl>
          Gaza strip
        </labl>
        <catStat type="freq">
          9433
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          245562.702
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2557" name="AREA" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="37" EndPos="42" width="6" RecSegNo="1"/>
      <labl>
        Area
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="275001" max="275075"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.
      </txt>
      <catgry>
        <catValu>
          275001
        </catValu>
        <labl>
          Jenin
        </labl>
        <catStat type="freq">
          1859
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51839.009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275005
        </catValu>
        <labl>
          Tubas
        </labl>
        <catStat type="freq">
          1193
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10096.523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275010
        </catValu>
        <labl>
          Tulkarm
        </labl>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32197.824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275015
        </catValu>
        <labl>
          Nablus
        </labl>
        <catStat type="freq">
          2078
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64510.646
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275020
        </catValu>
        <labl>
          Qalqilia
        </labl>
        <catStat type="freq">
          1162
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18139.871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275025
        </catValu>
        <labl>
          Salfit
        </labl>
        <catStat type="freq">
          1176
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12082.506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275030
        </catValu>
        <labl>
          Ramallah
        </labl>
        <catStat type="freq">
          1918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58844.581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275035
        </catValu>
        <labl>
          Jericho
        </labl>
        <catStat type="freq">
          950
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8361.997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275040
        </catValu>
        <labl>
          Jerusalem
        </labl>
        <catStat type="freq">
          2454
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          76418.594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275045
        </catValu>
        <labl>
          Bethlehem
        </labl>
        <catStat type="freq">
          1542
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36094.3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275050
        </catValu>
        <labl>
          Hebron
        </labl>
        <catStat type="freq">
          3149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          100779.479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275055
        </catValu>
        <labl>
          North Gaza
        </labl>
        <catStat type="freq">
          1746
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46053.188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275060
        </catValu>
        <labl>
          Gaza city
        </labl>
        <catStat type="freq">
          2187
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84788.442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275065
        </catValu>
        <labl>
          Deir Al-Balah
        </labl>
        <catStat type="freq">
          1670
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36081.357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275070
        </catValu>
        <labl>
          Khan Yunis
        </labl>
        <catStat type="freq">
          2155
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48204.946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275075
        </catValu>
        <labl>
          Rafah
        </labl>
        <catStat type="freq">
          1675
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30434.769
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2558" name="RURURB" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="43" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </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">
          6200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122778.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          17880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          524756.398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          4002
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67393.07
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2559" name="TPNUM" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Total number of household members
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="17"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        17
      </sumStat>
      <sumStat type="mean">
        4.179
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        4.175
      </sumStat>
      <sumStat type="stdev">
        2.25
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2.24
      </sumStat>
      <txt>
        Total number of household members
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1266
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30333.566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          8469
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          217200.471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3035
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          77679.391
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89984.094
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          3650
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94993.469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          3355
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84227.735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2428
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61685.232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1347
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33387.57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          550
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14058.231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          271
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6980.034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2591.633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1086.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          582.37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10.034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          96.895
        </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="V2560" name="MALNUM" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="46" EndPos="47" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.122
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.126
      </sumStat>
      <sumStat type="stdev">
        1.458
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.458
      </sumStat>
      <txt>
        Total number of males in the household
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          1711
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41964.594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          11077
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          283967.801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          5391
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          135920.151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4835
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          123761.506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2975
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75942.265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36436.527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          486
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12505.751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3593.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          568.945
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          247.964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18.916
        </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="V2561" name="FEMNUM" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" width="1" RecSegNo="1"/>
      <labl>
        Total number of females in the household
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        9
      </sumStat>
      <sumStat type="mean">
        2.057
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.048
      </sumStat>
      <sumStat type="stdev">
        1.278
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.262
      </sumStat>
      <txt>
        Total number of females in the household
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          221
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4468.548
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          12412
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          317726.625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          7028
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          180377.163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4587
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          116370.152
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2310
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58494.166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1018
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25821.033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          378
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8769.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          99
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2259.148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          476.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          165.342
        </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="V2562" name="MALUNEMP_PW" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+ males who have previously worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        0.157
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.158
      </sumStat>
      <sumStat type="stdev">
        0.427
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.429
      </sumStat>
      <txt>
        Number of unemployed 15+ males who have previously worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          24258
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          616976.285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3329
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85243.231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          412
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10543.119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          70
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1773.627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          391.769
        </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).
In the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as "unemployed who have previously worked," and those with no work experience are identified as "never worked before."
These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).
HUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW 
HUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2563" name="MALUNEMP_NW" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+ males who have never worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        0.0467
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.0447
      </sumStat>
      <sumStat type="stdev">
        0.24
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.232
      </sumStat>
      <txt>
        Number of unemployed 15+ males who have never worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          26926
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          686451.858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1021
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25474.159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          118
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2648.792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          260.15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          93.074
        </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).
In the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as "unemployed who have previously worked," and those with no work experience are identified as "never worked before."
These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).
HUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW 
HUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2564" name="FEMUNEMP_PW" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+ females who have previously worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        2
      </sumStat>
      <sumStat type="mean">
        0.0252
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.0246
      </sumStat>
      <sumStat type="stdev">
        0.16
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.158
      </sumStat>
      <txt>
        Number of unemployed 15+ females who have previously worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          27387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          697688.703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          682
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16909.076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          330.253
        </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).
In the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as "unemployed who have previously worked," and those with no work experience are identified as "never worked before."
These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).
HUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW 
HUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2565" name="FEMUNEMP_NW" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+ females who have never worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3
      </sumStat>
      <sumStat type="mean">
        0.0309
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.0282
      </sumStat>
      <sumStat type="stdev">
        0.181
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.173
      </sumStat>
      <txt>
        Number of unemployed 15+ females who have never worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          27254
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          695662.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          789
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18349.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          900.887
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.352
        </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).
In the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as "unemployed who have previously worked," and those with no work experience are identified as "never worked before."
These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).
HUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW 
HUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2566" name="HUNEMP_PW" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ unemployed household members who have previously worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5
      </sumStat>
      <sumStat type="mean">
        0.182
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.183
      </sumStat>
      <sumStat type="stdev">
        0.46
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.46
      </sumStat>
      <txt>
        <![CDATA[Number of 15+ unemployed household members  who have previously worked]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          23693
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          602735.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          3776
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          96736.667
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          510
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12817.385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2166.826
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          443.555
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.175
        </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).
In the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as "unemployed who have previously worked," and those with no work experience are identified as "never worked before."
These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).
HUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW 
HUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2567" name="HUNEMP_NW" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ unemployed household members who have never worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        0.0776
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.0729
      </sumStat>
      <sumStat type="stdev">
        0.309
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.298
      </sumStat>
      <txt>
        Number of 15+ unemployed household members who have never worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          26187
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          669186.146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1657
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40331.905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          198
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4577.591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          697.497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134.893
        </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).
In the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as "unemployed who have previously worked," and those with no work experience are identified as "never worked before."
These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).
HUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW 
HUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2568" name="MALINLF" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        1.142
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.144
      </sumStat>
      <sumStat type="stdev">
        0.89
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.89
      </sumStat>
      <txt>
        Number of 15+ males in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5043
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127047.907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          17199
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          439466.796
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          3531
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89481.825
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1628
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41599.914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          516
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12978.929
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          126
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3324.459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          846.96
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          123.407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          57.834
        </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="V2569" name="FEMINLF" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="56" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6
      </sumStat>
      <sumStat type="mean">
        0.284
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.267
      </sumStat>
      <sumStat type="stdev">
        0.546
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.533
      </sumStat>
      <txt>
        Number of 15+ females in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          21177
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          549246.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          6059
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          145613.244
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          670
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16010.529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3232.213
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          613.685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          173.205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38.74
        </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="V2570" name="HINLF" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="58" 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="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12
      </sumStat>
      <sumStat type="mean">
        1.426
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.411
      </sumStat>
      <sumStat type="stdev">
        1.091
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.082
      </sumStat>
      <txt>
        Number of 15+ household members in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          4037
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          103387.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          13921
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          359686.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          6458
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          160886.392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54833.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          933
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23590.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          358
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8640.272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          110
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2673.529
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          691.117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          304.303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          177.151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.112
        </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="V2571" name="MALOUTLF" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="59" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7
      </sumStat>
      <sumStat type="mean">
        0.6
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        0.602
      </sumStat>
      <sumStat type="stdev">
        0.87
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0.869
      </sumStat>
      <txt>
        Number of 15+ males out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          16663
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          422769.155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          7434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          190906.125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          2838
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          71781.467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          884
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22877.714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          222
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5606.533
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          897.802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          59.575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.662
        </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="V2572" name="FEMOUTLF" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="60" EndPos="60" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ females out of 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        1.411
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        1.42
      </sumStat>
      <sumStat type="stdev">
        1.018
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.006
      </sumStat>
      <txt>
        Number of 15+ females out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          3598
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84918.399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          14796
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          382783.157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          5792
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          148316.606
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2730
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69646.963
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          868
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21944.83
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          215
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5408.019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1448.951
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          436.964
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.143
        </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="V2573" name="HOUTLF" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="62" 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="11"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11
      </sumStat>
      <sumStat type="mean">
        2.012
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2.022
      </sumStat>
      <sumStat type="stdev">
        1.494
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1.484
      </sumStat>
      <txt>
        Number of 15+ household members out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          2862
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67558.715
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          10540
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          271083.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          5701
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          147432.09
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4355
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          111548.949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          2653
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67127.522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1267
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32343.779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          473
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12088.38
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3972.198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1460.947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          288.07
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.143
        </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="V2574" name="AGEHD" wgt-var="V2555" files="F28" dcml="0" intrvl="contin">
      <location StartPos="63" EndPos="65" width="3" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="15" max="104"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        104
      </sumStat>
      <sumStat type="mean">
        46.894
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        46.654
      </sumStat>
      <sumStat type="stdev">
        13.983
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        13.897
      </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="V2575" name="AGESP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="contin">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        Age of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="14" max="89"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        24492
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        628275.44
      </sumStat>
      <sumStat type="invd">
        3590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        86652.592
      </sumStat>
      <sumStat type="min">
        14
      </sumStat>
      <sumStat type="max">
        89
      </sumStat>
      <sumStat type="mean">
        39.736
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        39.598
      </sumStat>
      <sumStat type="stdev">
        12.392
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        12.396
      </sumStat>
      <txt>
        Age of the first spouse 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="V2576" name="AGESP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="contin">
      <location StartPos="68" EndPos="69" width="2" RecSegNo="1"/>
      <labl>
        Age of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="20" max="73"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        194
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4457.84
      </sumStat>
      <sumStat type="invd">
        27888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        710470.191
      </sumStat>
      <sumStat type="min">
        20
      </sumStat>
      <sumStat type="max">
        73
      </sumStat>
      <sumStat type="mean">
        41.036
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        41.53
      </sumStat>
      <sumStat type="stdev">
        11.693
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.783
      </sumStat>
      <txt>
        Age of the second spouse 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="V2577" name="AGESP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        Age of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="28" max="46"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        24.276
      </sumStat>
      <sumStat type="invd">
        28079
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714903.755
      </sumStat>
      <sumStat type="min">
        28
      </sumStat>
      <sumStat type="max">
        46
      </sumStat>
      <sumStat type="mean">
        34.333
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        35.178
      </sumStat>
      <sumStat type="stdev">
        10.116
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        8.691
      </sumStat>
      <txt>
        Age of the third spouse in completed years.
      </txt>
      <catgry>
        <catValu>
          28
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714903.755
        </catStat>
      </catgry>
      <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="V2578" name="SEXHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="72" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Gender of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          25026
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          640288.91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          3056
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74639.122
        </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="V2579" name="SEXSP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="73" width="1" RecSegNo="1"/>
      <labl>
        Gender of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        24492
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        628275.44
      </sumStat>
      <sumStat type="invd">
        3590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        86652.592
      </sumStat>
      <txt>
        Gender of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          311.751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          24480
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          627963.689
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          3590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86652.592
        </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="V2580" name="SEXSP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Gender of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        194
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4457.84
      </sumStat>
      <sumStat type="invd">
        27888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        710470.191
      </sumStat>
      <txt>
        <![CDATA[Gender of the second  spouse.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          194
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4457.84
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          27888
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710470.191
        </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="V2581" name="SEXSP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Gender of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        24.276
      </sumStat>
      <sumStat type="invd">
        28079
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714903.755
      </sumStat>
      <txt>
        Gender of the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.276
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714903.755
        </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="V2582" name="MARTHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="77" 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">
        Heads aged 12+
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          521
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12590.015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          24624
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          631282.214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          194
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4457.84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          1144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27528.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          1599
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39069.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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
----------------------------------
In the raw data, an aggregated "other" category is provided to  indicate the divorced, separated or widowed. To split the original category, those younger than 60 years of age were assumed to be divorced/separated, while those aged 60 years or older were assumed to be widowed.]]>
      </notes>
    </var>
    <var ID="V2583" name="MARTHD_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="80" 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">
        Heads aged 12+
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" 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">
          521
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12590.015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          24624
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          631282.214
        </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">
          194
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4457.84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          1144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27528.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          1599
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39069.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
In the raw data, an aggregated "other" category is provided to  indicate the divorced, separated or widowed. To split the original category, those younger than 60 years of age were assumed to be divorced/separated, while those aged 60 years or older were assumed to be widowed.]]>
      </notes>
    </var>
    <var ID="V2584" name="LITHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 10+
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the head is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          2017
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48511.451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          26065
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          666416.581
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2585" name="LITSP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="84" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        24492
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        628275.44
      </sumStat>
      <sumStat type="invd">
        3590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        86652.592
      </sumStat>
      <txt>
        This variable indicates whether the first spouse is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          1676
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39402.032
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          22816
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          588873.407
        </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">
          3590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86652.592
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2586" name="LITSP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="86" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        194
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4457.84
      </sumStat>
      <sumStat type="invd">
        27888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        710470.191
      </sumStat>
      <txt>
        This variable indicates whether the second spouse is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          698.97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          166
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3758.871
        </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">
          27888
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710470.191
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2587" name="LITSP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="88" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        24.276
      </sumStat>
      <sumStat type="invd">
        28079
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714903.755
      </sumStat>
      <txt>
        This variable indicates whether the third spouse is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.012
        </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">
          28079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714903.755
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2588" name="EDUHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="90" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          4941
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          123969.765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          13471
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          343472.281
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          4001
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          101441.174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47290.013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          3061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80207.521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          695
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18547.278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2589" name="EDUSP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="92" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        24492
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        628275.44
      </sumStat>
      <sumStat type="invd">
        3590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        86652.592
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          3718
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          90471.769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          12222
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          317811.012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          4246
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109871.17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          1424
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36289.116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          2706
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68938.613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          176
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4893.76
        </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">
          3590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86652.592
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2590" name="EDUSP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="94" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        194
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4457.84
      </sumStat>
      <sumStat type="invd">
        27888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        710470.191
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          58
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1390.93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2265.207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          422.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          148.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          231.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          27888
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710470.191
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2591" name="EDUSP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="96" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        24.276
      </sumStat>
      <sumStat type="invd">
        28079
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714903.755
      </sumStat>
      <txt>
        Highest level of education attained by the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714903.755
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2592" name="EDUHD_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="99" 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">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" 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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          2017
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48511.451
        </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">
          2924
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75458.314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          5781
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149951.644
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          7690
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          193520.637
        </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">
          4001
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          101441.174
        </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">
          1913
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47290.013
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          3061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80207.521
        </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">
          68
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1625.679
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          467
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12157.462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          160
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4764.137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2593" name="EDUSP_1_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="100" EndPos="102" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        24492
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        628275.44
      </sumStat>
      <sumStat type="invd">
        3590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        86652.592
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the first spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          1676
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39402.032
        </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">
          2042
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51069.736
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          4465
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          116449.767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          7757
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          201361.246
        </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">
          4246
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109871.17
        </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">
          1424
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36289.116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          2706
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68938.613
        </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">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1060.298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3519.065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          314.397
        </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">
          3590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86652.592
        </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="V2594" name="EDUSP_2_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="103" EndPos="105" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        194
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4457.84
      </sumStat>
      <sumStat type="invd">
        27888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        710470.191
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the second spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          698.97
        </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">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          691.961
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1139.395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          49
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1125.811
        </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">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          422.552
        </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">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          148.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          231.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          27888
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710470.191
        </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="V2595" name="EDUSP_3_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="108" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        24.276
      </sumStat>
      <sumStat type="invd">
        28079
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714903.755
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the third spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.012
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714903.755
        </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="V2596" name="MASHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="110" 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 10+
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the head during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          18173
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          463084.411
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          2447
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62974.989
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          1846
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46934.909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1515.286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          4717
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118868.173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          840
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21550.263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2597" name="MASSP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="112" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        24492
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        628275.44
      </sumStat>
      <sumStat type="invd">
        3590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        86652.592
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          3765
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89476.41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          839
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20154.316
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          18802
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          491240.144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          349
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8841.058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          546
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14040.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          191
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4522.647
        </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">
          3590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86652.592
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2598" name="MASSP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="114" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        194
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4457.84
      </sumStat>
      <sumStat type="invd">
        27888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        710470.191
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          455.329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60.403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          160
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3737.034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64.931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          110.413
        </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">
          27888
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710470.191
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2599" name="MASSP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="116" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        24.276
      </sumStat>
      <sumStat type="invd">
        28079
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714903.755
      </sumStat>
      <txt>
        Main activity status of the third spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714903.755
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2600" name="MASHD_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="119" 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 10+
      </universe>
      <sumStat type="vald">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        714928.032
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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">
          15941
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          407166.54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          29
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          696.313
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          54
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1619.09
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          350
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8783.202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          1675
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41562.189
        </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">
          115
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2975.882
        </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">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          281.194
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          2348
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60473.246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1159.729
        </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">
          31
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          828.279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          513.735
        </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">
          1846
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46934.909
        </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">
          59
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1515.286
        </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">
          56
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1221.033
        </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">
          4661
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          117647.14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          646
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16610.024
        </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">
          137
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3536.571
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30.253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          56
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1373.415
        </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>
      <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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2601" name="MASSP_1_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="120" EndPos="122" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        24492
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        628275.44
      </sumStat>
      <sumStat type="invd">
        3590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        86652.592
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          3305
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          78266.359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242.791
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          287
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6988.879
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2304.316
        </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">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1592.92
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.87
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          353
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8704.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6054.267
        </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">
          213
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5395.157
        </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">
          18802
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          491240.144
        </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">
          349
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8841.058
        </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">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          206.772
        </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">
          537
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13834.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3038.017
        </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">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1180.733
        </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">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          303.898
        </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">
          3590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86652.592
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2602" name="MASSP_2_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="125" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        194
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        4457.84
      </sumStat>
      <sumStat type="invd">
        27888
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        710470.191
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          455.329
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31.892
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.511
        </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">
          160
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3737.034
        </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64.931
        </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">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82.953
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          27.46
        </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">
          27888
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          710470.191
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2603" name="MASSP_3_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="128" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        24.276
      </sumStat>
      <sumStat type="invd">
        28079
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714903.755
      </sumStat>
      <txt>
        Main activity status of the third spouse during the survey period (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.012
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          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">
          28079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714903.755
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2604" name="EMPSHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="130" 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 10+
      </universe>
      <sumStat type="vald">
        18173
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        463084.411
      </sumStat>
      <sumStat type="invd">
        9909
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        251843.62
      </sumStat>
      <txt>
        Detailed description of the employment status of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          11789
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          298609.337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          1751
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47065.415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          4579
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          116111.092
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          929.399
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20.611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          348.558
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          251843.62
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2605" name="EMPSSP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="132" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3765
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        89476.41
      </sumStat>
      <sumStat type="invd">
        24317
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        625451.621
      </sumStat>
      <txt>
        Detailed description of the employment status of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          2143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52627.042
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1727.256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8790.039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1188
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26295.849
        </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">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.225
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24317
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625451.621
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2606" name="EMPSSP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="134" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        455.329
      </sumStat>
      <sumStat type="invd">
        28061
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714472.703
      </sumStat>
      <txt>
        Detailed description of the employment status of the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.228
        </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">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          167.549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          261.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714472.703
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2607" name="EMPSSP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="136" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9.264
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714918.768
      </sumStat>
      <txt>
        Detailed description of the employment status of the third spouse.
      </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28081
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714918.768
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2608" name="OCCHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="137" EndPos="139" 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 10+
      </universe>
      <sumStat type="vald">
        18173
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        463084.411
      </sumStat>
      <sumStat type="invd">
        9909
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        251843.62
      </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">
          1310
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34453.392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          2047
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53812.572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          1594
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39328.115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          256
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6236.625
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          3498
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          88581.647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29197.245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          2969
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80764.19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          1823
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          49561.658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          3344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80800.41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          348.558
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          251843.62
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2609" name="OCCSP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="142" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3765
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        89476.41
      </sumStat>
      <sumStat type="invd">
        24317
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        625451.621
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the first spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          148
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3595.397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1242
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          31797.649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          465
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11372.797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1951.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          381
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9154.561
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1079
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23374.277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          186
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4478.857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          176.721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          180
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3538.587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.225
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24317
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625451.621
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2610" name="OCCSP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="145" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        455.329
      </sumStat>
      <sumStat type="invd">
        28061
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714472.703
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the second spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          261.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714472.703
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2611" name="OCCSP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="148" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9.264
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714918.768
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the third spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28081
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714918.768
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2612" name="OCCHD_ISCO88_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="149" EndPos="152" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the head [ISCO 1988-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 10+
      </universe>
      <sumStat type="vald">
        18173
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        463084.411
      </sumStat>
      <sumStat type="invd">
        9909
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        251843.62
      </sumStat>
      <txt>
        Occupation classification of the main job of the head, following the 2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          788.749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          417
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11204.483
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          859
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22460.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          153
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4157.801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          297
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8192.314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          820
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20628.775
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          777
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20833.683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          91
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2199.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          98
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2279.202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          227
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5408.866
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          1178
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29440.676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4584.793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1651.832
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          1620
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38408.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          1878
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50173.155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1312
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28971.642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          225.603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          1524
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41530.057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          794
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20172.358
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1403.215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          603
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17658.559
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          151
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3902.089
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          73
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1920.412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          1599
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43739.157
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          1182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30753.403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          586
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10429.327
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
        <catStat type="freq">
          1576
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39617.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          348.558
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          251843.62
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2613" name="OCCSP_1_ISCO88_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
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      <labl>
        Occupation classification of the main job of the first spouse [ISCO 1988-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3765
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        89476.41
      </sumStat>
      <sumStat type="invd">
        24317
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        625451.621
      </sumStat>
      <txt>
        <![CDATA[Occupation classification of the main job of the first spouse, following the  2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).]]>
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134.949
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          108
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2631.985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          828.463
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          361.604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          117
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3194.851
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          877
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22395.155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5846.039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          145.43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2627.236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          229
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5419.536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          119
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3180.595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1818.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132.496
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          141
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3294.135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          240
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5860.426
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          731
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16060.269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          348
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7314.008
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63.966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25.783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          183
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4389.107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          176.721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          122
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2633.919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          471.837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          432.831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.225
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24317
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625451.621
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
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    <var ID="V2614" name="OCCSP_2_ISCO88_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
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      <labl>
        Occupation classification of the main job of the second spouse [ISCO 1988-2 digits]
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      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        455.329
      </sumStat>
      <sumStat type="invd">
        28061
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714472.703
      </sumStat>
      <txt>
        Occupation classification of the main job of the second spouse, following the 2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
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        </catValu>
        <labl>
          Legislators and senior officials
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
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        <labl>
          General managers
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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        <catValu>
          22
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        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68.609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44.392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          245.412
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16.139
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714472.703
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2615" name="OCCSP_3_ISCO88_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="164" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the third spouse [ISCO 1988-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9.264
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714918.768
      </sumStat>
      <txt>
        Occupation classification of the main job of the third spouse, following the 2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28081
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714918.768
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2616" name="INDHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="165" EndPos="167" 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 10+
      </universe>
      <sumStat type="vald">
        18173
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        463084.411
      </sumStat>
      <sumStat type="invd">
        9909
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        251843.62
      </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">
          1941
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40089.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          55
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1401.015
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          1889
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50281.649
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          98
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2401.969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2831
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75607.192
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          3146
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84469.593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          1314
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36128.857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          326
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8049.13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          93
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2253.919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          150
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4531.155
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          288
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8533.522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          3357
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81971.574
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1398
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34647.686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          615
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15961.911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          661
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16407.065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          348.558
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          251843.62
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2617" name="INDSP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="168" EndPos="170" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3765
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        89476.41
      </sumStat>
      <sumStat type="invd">
        24317
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        625451.621
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the first spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          1121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23868.315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          211
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5165.67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40.282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          206.196
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          261
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6438.609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102.943
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          438.249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          281.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          700.031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1328.578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          238
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5446.535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32567.519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          322
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8200.06
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          202
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4655.608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.225
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24317
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625451.621
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2618" name="INDSP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="171" EndPos="173" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        455.329
      </sumStat>
      <sumStat type="invd">
        28061
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714472.703
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the second spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          261.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44.392
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.149
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54.228
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714472.703
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2619" name="INDSP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="174" EndPos="176" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9.264
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714918.768
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the third spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28081
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714918.768
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2620" name="INDHD_ISIC3_2" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="177" EndPos="180" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the head [ISIC Rev.3-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 10+
      </universe>
      <sumStat type="vald">
        18173
      </sumStat>
      <sumStat type="invd">
        9909
      </sumStat>
      <txt>
        Economic activity classification of the main job of the head [ISIC Rev.3-2 digits]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          1925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          379
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2831
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          2242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          1273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          220
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          3357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          221
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          114
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9909
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2621" name="INDSP_1_ISIC3_2" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="181" EndPos="184" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the first spouse [ISIC Rev.3-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3765
      </sumStat>
      <sumStat type="invd">
        24317
      </sumStat>
      <txt>
        Economic activity classification of the main job of the first spouse [ISIC Rev.3-2 digits]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          1121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          1301
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          322
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24317
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2622" name="INDSP_2_ISIC3_2" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="185" EndPos="188" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the second spouse [ISIC Rev.3-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat type="invd">
        28061
      </sumStat>
      <txt>
        Economic activity classification of the main job of the second spouse [ISIC Rev.3-2 digits]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </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">
          28061
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2623" name="INDSP_3_ISIC3_2" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="189" EndPos="192" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the third spouse [ISIC Rev.3-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <txt>
        Economic activity classification of the main job of the third spouse [ISIC Rev.3-2 digits]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </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">
          28081
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2624" name="SECTORHD" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="193" EndPos="194" 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 10+
      </universe>
      <sumStat type="vald">
        18173
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        463084.411
      </sumStat>
      <sumStat type="invd">
        9909
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        251843.62
      </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">
          4697
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          115383.09
        </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">
          12866
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          333804.208
        </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">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1115.936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          557
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12412.009
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          369.169
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          251843.62
        </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
----------------------------------
The sector of employment generated using the variable pw23_a, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2625" name="SECTORSP_1" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="195" EndPos="196" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3765
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        89476.41
      </sumStat>
      <sumStat type="invd">
        24317
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        625451.621
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          1246
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30816.473
        </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">
          2175
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50745.405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          504.676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7373.632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.225
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24317
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625451.621
        </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
----------------------------------
The sector of employment generated using the variable pw23_a, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2626" name="SECTORSP_2" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="197" EndPos="198" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        455.329
      </sumStat>
      <sumStat type="invd">
        28061
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714472.703
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          455.329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714472.703
        </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
----------------------------------
The sector of employment generated using the variable pw23_a, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2627" name="SECTORSP_3" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="199" EndPos="200" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9.264
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714918.768
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28081
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714918.768
        </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
----------------------------------
The sector of employment generated using the variable pw23_a, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2628" name="SECTORHD_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="201" EndPos="203" 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 10+
      </universe>
      <sumStat type="vald">
        18173
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        463084.411
      </sumStat>
      <sumStat type="invd">
        9909
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        251843.62
      </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>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          4646
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          113560.206
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1822.884
        </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">
          9755
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          257757.258
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          3070
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75117.551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          929.399
        </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">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1115.936
        </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">
          111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2770.308
        </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">
          446
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9641.701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          369.169
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9909
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          251843.62
        </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
----------------------------------
The sector of employment generated using the variable pw23_a, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2629" name="SECTORSP_1_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="204" EndPos="206" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3765
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        89476.41
      </sumStat>
      <sumStat type="invd">
        24317
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        625451.621
      </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>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          1240
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30573.66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242.813
        </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">
          861
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21702.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          126
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2746.868
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          1188
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26295.849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          504.676
        </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">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1486.726
        </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">
          256
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5886.906
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.225
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24317
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          625451.621
        </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
----------------------------------
The sector of employment generated using the variable pw23_a, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2630" name="SECTORSP_2_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="207" EndPos="209" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        455.329
      </sumStat>
      <sumStat type="invd">
        28061
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714472.703
      </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>
        <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">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          170.065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23.713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          261.552
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28061
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714472.703
        </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
----------------------------------
The sector of employment generated using the variable pw23_a, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2631" name="SECTORSP_3_D" wgt-var="V2555" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="210" EndPos="212" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        9.264
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714918.768
      </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>
        <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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.264
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28081
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714918.768
        </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
----------------------------------
The sector of employment generated using the variable pw23_a, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2632" name="EMPSTABHD" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="213" EndPos="214" width="2" RecSegNo="1"/>
      <labl>
        Employment stability in the main job of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 10+
      </universe>
      <sumStat type="vald">
        18173
      </sumStat>
      <sumStat type="invd">
        9909
      </sumStat>
      <txt>
        These variables indicate whether the employed head is engaged in a regular or an irregular job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Full time/Regular
        </labl>
        <catStat type="freq">
          11245
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Part time/Temporary
        </labl>
        <catStat type="freq">
          126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Seasonal/Irregular
        </labl>
        <catStat type="freq">
          408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          6394
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          9909
        </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
----------------------------------
In the raw data, variable pw23g_a is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2633" name="EMPSTABSP_1" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="215" EndPos="216" width="2" RecSegNo="1"/>
      <labl>
        Employment stability in the main job of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        3765
      </sumStat>
      <sumStat type="invd">
        24317
      </sumStat>
      <txt>
        These variables indicate whether the employed first spouse is engaged in a regular or an irregular job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Full time/Regular
        </labl>
        <catStat type="freq">
          2085
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Part time/Temporary
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Seasonal/Irregular
        </labl>
        <catStat type="freq">
          41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1622
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          24317
        </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
----------------------------------
In the raw data, variable pw23g_a is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2634" name="EMPSTABSP_2" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="217" EndPos="218" width="2" RecSegNo="1"/>
      <labl>
        Employment stability in the main job of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        21
      </sumStat>
      <sumStat type="invd">
        28061
      </sumStat>
      <txt>
        These variables indicate whether the employed second spouse is engaged in a regular or an irregular job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Full time/Regular
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Part time/Temporary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Seasonal/Irregular
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28061
        </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
----------------------------------
In the raw data, variable pw23g_a is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2635" name="EMPSTABSP_3" files="F28" dcml="0" intrvl="discrete">
      <location StartPos="219" EndPos="220" width="2" RecSegNo="1"/>
      <labl>
        Employment stability in the main job of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <txt>
        These variables indicate whether the employed third spouse is engaged in a regular or an irregular job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Full time/Regular
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Part time/Temporary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Seasonal/Irregular
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28081
        </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
----------------------------------
In the raw data, variable pw23g_a is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2636" name="TOTWAGHD" wgt-var="V2555" files="F28" dcml="2" intrvl="contin">
      <location StartPos="221" EndPos="228" width="8" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="17692.3076923077"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Heads aged 10+
      </universe>
      <sumStat type="vald">
        11588
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        293195.07
      </sumStat>
      <sumStat type="invd">
        16494
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        421732.961
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17692.308
      </sumStat>
      <sumStat type="mean">
        2388.47
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2442.417
      </sumStat>
      <sumStat type="stdev">
        1434.335
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1473.179
      </sumStat>
      <txt>
        This variable indicates the total monthly wage the head, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.
TOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN
When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
Only daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.]]>
      </notes>
    </var>
    <var ID="V2637" name="TOTWAGSP_1" wgt-var="V2555" files="F28" dcml="2" intrvl="contin">
      <location StartPos="229" EndPos="236" width="8" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="12384.6153846154"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Spouses aged 10+
      </universe>
      <sumStat type="vald">
        2089
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        51032.844
      </sumStat>
      <sumStat type="invd">
        25993
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        663895.188
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        12384.615
      </sumStat>
      <sumStat type="mean">
        2071.252
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2114.282
      </sumStat>
      <sumStat type="stdev">
        1018.343
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1038.123
      </sumStat>
      <txt>
        This variable indicates the total monthly wage the first spouse, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.
TOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN
When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
Only daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.]]>
      </notes>
    </var>
    <var ID="V2638" name="TOTWAGSP_2" wgt-var="V2555" files="F28" dcml="2" intrvl="discrete">
      <location StartPos="237" EndPos="242" width="6" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="500" max="500"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Spouses aged 10+
      </universe>
      <sumStat type="vald">
        1
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        26.228
      </sumStat>
      <sumStat type="invd">
        28081
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714901.803
      </sumStat>
      <sumStat type="min">
        500
      </sumStat>
      <sumStat type="max">
        500
      </sumStat>
      <sumStat type="mean">
        500
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        500
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        0
      </sumStat>
      <txt>
        This variable indicates the total monthly wage the second spouse, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.
      </txt>
      <catgry>
        <catValu>
          500
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.228
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28081
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714901.803
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.
TOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN
When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
Only daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.]]>
      </notes>
    </var>
    <var ID="V2639" name="TOTWAGSP_3" wgt-var="V2555" files="F28" dcml="2" intrvl="discrete">
      <location StartPos="243" EndPos="246" width="4" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <universe clusion="I">
        Waged Workers Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        28082
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        714928.032
      </sumStat>
      <txt>
        This variable indicates the total monthly wage the third spouse, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          28082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          714928.032
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.
TOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN
When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
Only daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.]]>
      </notes>
    </var>
    <var ID="V2640" name="COUNTRY" wgt-var="V2650" files="F29" 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">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </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>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          117360
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2997469.625
        </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="V2641" name="YEAR" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2011" max="2011"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed.
      </txt>
      <catgry>
        <catValu>
          2011
        </catValu>
        <catStat type="freq">
          117360
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2997469.625
        </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="V2642" name="ROUND" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Survey round
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the round during which the household was observed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          29950
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          740487.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          29750
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          746394.438
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          28784
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          752320.594
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          28876
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          758266.781
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The data collection of the LFSs might be conducted over several rounds during the survey year. This variable will be then generated in the datasets for which the collection was done over at least 2 rounds to indicate the round number during which each household was observed.
In the case of panel data, the same household ID may have different round numbers indicating different observations of the same household during the survey year.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF.]]>
      </notes>
    </var>
    <var ID="V2643" name="DTYPE" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="9" 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">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </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>
          2
        </catValu>
        <labl>
          Panel
        </labl>
        <catStat type="freq">
          117360
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2997469.625
        </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 2 since the data is panel.
A check on paneled households and individuals was conducted.
Some inconsistencies were detected across rounds in paneled observations. 
Only some cases could be corrected, particularly in time-invariant characteristics, however the most appropriate method to deal with the rest was left to the user's judgement.]]>
      </notes>
    </var>
    <var ID="V2644" name="DREP" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="11" width="2" RecSegNo="1"/>
      <labl>
        Household repetition over rounds
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="34"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        For the panel as well as the fresh sample, this variable should indicate the round(s) over which a certain household was interviewed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          First round only
        </labl>
        <catStat type="freq">
          15234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          370099.133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Second round only
        </labl>
        <catStat type="freq">
          836
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21108.33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Third round only
        </labl>
        <catStat type="freq">
          14653
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          388483.766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Fourth round only
        </labl>
        <catStat type="freq">
          28867
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          758037.639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          First and second rounds
        </labl>
        <catStat type="freq">
          29500
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          745763.931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          First and third rounds
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          First and fourth rounds
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Second and third rounds
        </labl>
        <catStat type="freq">
          28251
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          713493.067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Second and fourth rounds
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Third and fourth rounds
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          483.76
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is generated only in the case of panel data. In case of cross-sectional data, this variable should typically be similar to the "ROUND" variable.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V2645" name="CASESER" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="12" EndPos="18" width="7" RecSegNo="1"/>
      <labl>
        Unique household identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1002" max="1263866"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2646" name="HPNLID" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="19" EndPos="25" width="7" RecSegNo="1"/>
      <labl>
        Household panel identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1103" max="1223896"/>
      </valrng>
      <universe clusion="I">
        Paneled individuals
      </universe>
      <sumStat type="vald">
        57770
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1459740.758
      </sumStat>
      <sumStat type="invd">
        59590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1537728.867
      </sumStat>
      <txt>
        This variable should indicate the identifiers of paneled households only, either those observed across different rounds during the survey year or across two successive years, depending on the sampling design.
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This identifier should be available for the paneled households only, and is unique within EACH round. It should be used to merge the panel data of households observed over several rounds. In some datasets, for the paneled households only, this variable might be similar to CASESER.


COUNTRY SPECIFIC NOTES
----------------------------------
Provided for paneled households and individuals only]]>
      </notes>
    </var>
    <var ID="V2647" name="HWEIGHT" wgt-var="V2650" files="F29" dcml="2" intrvl="contin">
      <location StartPos="26" EndPos="30" width="5" RecSegNo="1"/>
      <labl>
        Household weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="3.18689372709635" max="86.4911739616183"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        3.187
      </sumStat>
      <sumStat type="max">
        86.491
      </sumStat>
      <sumStat type="mean">
        25.431
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        31.356
      </sumStat>
      <sumStat type="stdev">
        12.268
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        12.583
      </sumStat>
      <txt>
        Data provider household weight.
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The household weight can correct just for sample bias, or also for non-sampling errors (such as response bias and adjustment to population distribution). In many cases, the weight is a population weight, which means that the weight will inflate the result to reflect the total population. 
We strongly recommend that all statistical analysis be performed using the data weights.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2648" name="PNUM" wgt-var="V2650" files="F29" dcml="0" intrvl="contin">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Individual identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="21"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </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">
        3.296
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3.294
      </sumStat>
      <sumStat type="stdev">
        2.191
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2.201
      </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="V2649" name="PPNLID" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="34" width="2" RecSegNo="1"/>
      <labl>
        Individual panel identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="21"/>
      </valrng>
      <universe clusion="I">
        Paneled individuals
      </universe>
      <sumStat type="vald">
        57770
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1459740.758
      </sumStat>
      <sumStat type="invd">
        59590
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1537728.867
      </sumStat>
      <txt>
        This variable contains the panel identification number of all surveyed individuals over more than one round during the survey year (or across two successive surveys).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          13723
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          346074.026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          13119
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          333017.146
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          8449
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          218651.375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          7306
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          184785.817
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          5787
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          144228.428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          4093
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          101033.119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2563
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63050.037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          1340
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32477.079
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          672
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16780.528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          356
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9091.639
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          193
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5359.976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2538.1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          874.519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          848.408
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          424.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          179.871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          101.473
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72.985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          70.593
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          59590
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1537728.867
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable, in addition to HPNLID, is used to track paneled individuals only across the survey rounds/years. Thus, this identifier should be available for the paneled individuals only, and is unique within EACH round/household. 
It should be used, together with the HPNLID, to merge the panel data of the individuals interviewed over several rounds. 
In some datasets, for the paneled individuals only, this variable might be similar to PNUM.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated for paneled individuals only]]>
      </notes>
    </var>
    <var ID="V2650" name="PWEIGHT" wgt="wgt" files="F29" dcml="2" intrvl="contin">
      <location StartPos="35" EndPos="40" width="6" RecSegNo="1"/>
      <labl>
        Individual weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2.32838060081867" max="105.188116588916"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        2.328
      </sumStat>
      <sumStat type="max">
        105.188
      </sumStat>
      <sumStat type="mean">
        25.541
      </sumStat>
      <sumStat type="stdev">
        12.869
      </sumStat>
      <txt>
        Data-provider individual weight.
      </txt>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Very few data providers construct a different weight for each member of the household. If 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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2651" name="REG" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="41" EndPos="46" width="6" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="275001" max="275002"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence.
      </txt>
      <catgry>
        <catValu>
          275001
        </catValu>
        <labl>
          West bank
        </labl>
        <catStat type="freq">
          75721
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1897999.5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275002
        </catValu>
        <labl>
          Gaza strip
        </labl>
        <catStat type="freq">
          41639
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1099470.125
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2652" name="AREA" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="52" width="6" RecSegNo="1"/>
      <labl>
        Area
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="275001" max="275075"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village.
      </txt>
      <catgry>
        <catValu>
          275001
        </catValu>
        <labl>
          Jenin
        </labl>
        <catStat type="freq">
          7369
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          207467.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275005
        </catValu>
        <labl>
          Tubas
        </labl>
        <catStat type="freq">
          5021
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42969.427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275010
        </catValu>
        <labl>
          Tulkarm
        </labl>
        <catStat type="freq">
          4773
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          131349.507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275015
        </catValu>
        <labl>
          Nablus
        </labl>
        <catStat type="freq">
          8311
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          258148.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275020
        </catValu>
        <labl>
          Qalqilia
        </labl>
        <catStat type="freq">
          4853
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75980.659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275025
        </catValu>
        <labl>
          Salfit
        </labl>
        <catStat type="freq">
          4506
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46603.911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275030
        </catValu>
        <labl>
          Ramallah
        </labl>
        <catStat type="freq">
          7855
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242708.168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275035
        </catValu>
        <labl>
          Jericho
        </labl>
        <catStat type="freq">
          4014
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34840.134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275040
        </catValu>
        <labl>
          Jerusalem
        </labl>
        <catStat type="freq">
          8791
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          267390.549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275045
        </catValu>
        <labl>
          Bethlehem
        </labl>
        <catStat type="freq">
          6133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          142319.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275050
        </catValu>
        <labl>
          Hebron
        </labl>
        <catStat type="freq">
          14095
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          448221.505
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275055
        </catValu>
        <labl>
          North Gaza
        </labl>
        <catStat type="freq">
          7977
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          211562.378
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275060
        </catValu>
        <labl>
          Gaza city
        </labl>
        <catStat type="freq">
          9921
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          389970.629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275065
        </catValu>
        <labl>
          Deir Al-Balah
        </labl>
        <catStat type="freq">
          7429
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          160510.765
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275070
        </catValu>
        <labl>
          Khan Yunis
        </labl>
        <catStat type="freq">
          9161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          207039.224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275075
        </catValu>
        <labl>
          Rafah
        </labl>
        <catStat type="freq">
          7151
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          130387.128
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2653" name="RURURB" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" 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">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </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">
          26252
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          522222.045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          74109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2185054.721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          16999
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          290192.859
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2654" name="AGE" wgt-var="V2650" files="F29" dcml="0" intrvl="contin">
      <location StartPos="54" EndPos="56" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="111"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        10
      </sumStat>
      <sumStat type="max">
        111
      </sumStat>
      <sumStat type="mean">
        30.189
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        29.601
      </sumStat>
      <sumStat type="stdev">
        16.974
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        16.307
      </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2655" name="SEX" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="57" 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">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </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">
          59602
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1519194.141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          57758
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1478275.484
        </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="V2656" name="MART" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="59" 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">
        Individuals aged 12+
      </universe>
      <sumStat type="vald">
        108956
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2782420.112
      </sumStat>
      <sumStat type="invd">
        8404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        215049.513
      </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">
          50374
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1268066.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          54099
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1409755.208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          194
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4211.279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          1872
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44808.362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2417
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55578.892
        </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">
          8404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          215049.513
        </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
----------------------------------
In the raw data, an aggregated "other" category is provided to  indicate the divorced, separated or widowed. To split the original category, those younger than 60 years of age were assumed to be divorced/separated, while those aged 60 years or older were assumed to be widowed.]]>
      </notes>
    </var>
    <var ID="V2657" name="MART_D" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="60" EndPos="62" 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">
        Individuals aged 12+
      </universe>
      <sumStat type="vald">
        108956
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2782420.112
      </sumStat>
      <sumStat type="invd">
        8404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        215049.513
      </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">
          50374
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1268066.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          54099
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1409755.208
        </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">
          194
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4211.279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          1872
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44808.362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          2417
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55578.892
        </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">
          8404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          215049.513
        </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
----------------------------------
In the raw data, an aggregated "other" category is provided to  indicate the divorced, separated or widowed. To split the original category, those younger than 60 years of age were assumed to be divorced/separated, while those aged 60 years or older were assumed to be widowed.]]>
      </notes>
    </var>
    <var ID="V2658" name="REL" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="63" 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">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Relationship to the head of household, where the value '1' always stands for the head of the household him/herself.
The 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">
          28082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          711636.893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          24689
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          633258.406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          60351
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1538660.54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/mother (parents)
        </labl>
        <catStat type="freq">
          1037
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25240.663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          1022
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26265.787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          460
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11456.806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          1712
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50770.674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          179.857
        </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="V2659" name="REL_D" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="64" EndPos="66" 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">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Relationship to the head of household, where the value '100' always stands for the head of the household him/herself. Detailed coding indicates different relations for other relatives and other non-relatives to the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          28082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          711636.893
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          24689
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          633258.406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          60351
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1538660.54
        </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">
          1037
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25240.663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          1022
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26265.787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          460
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11456.806
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          386
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10067.987
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
        <catStat type="freq">
          1321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40518.844
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Grandparents
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          183.843
        </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">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          179.857
        </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>
      <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="V2660" name="LIT" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="68" width="2" RecSegNo="1"/>
      <labl>
        Literacy status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the individual is or is not literate (can read and write).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          5304
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          119717.053
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          112056
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2877752.572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2661" name="EVERATTD" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        Ever attended school
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the individual has ever attended school - academic, Koranic, or any other formal or informal education.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          5262
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118828.549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          112098
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2878641.076
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is valid for all individuals in the pre-primary school age or above while it is coded missing for others. Primary school age will vary by country.
This is a country-specific standard that depends on how school attendance is defined. Pre-school may be included here. Also, in some countries, the ever attended school variable could be coded yes even if the individual has attended school for a minimum amount of time. The differences need to be carefully documented.
One is not required to have completed any level of education to answer this question positively.

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2662" name="ATTSCH" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        School attendance status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[This variable indicates  whether the individual is attending school at the time of the survey.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          73990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1909943.876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          43370
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1087525.749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
If a person is on a short school holiday when interviewed, he or she is considered to be at school. However, if the person is on the holiday between two years of schooling, one cannot assume that he/she will continue schooling into the next year.
The variable can be created using either the attendance or the enrolment question (since typically just one of them is available in each survey). 
The generation of this variable does not require one to have completed any level to be considered currently attending school.
Adults currently attending literacy programs are considered as attending school (ATTSCH = 1).
In the case that the person is not currently attending school but there is no information on whether he/she attended school and left or never attended school use information from EDUC to impute the right value.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2663" name="EDUC" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="74" 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">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable should indicate the highest level of education attained/ completed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          19884
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          485455.779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          62949
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1592240.741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          19814
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          524404.9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          4610
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          117527.907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          9044
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249233.895
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          1059
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28606.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2664" name="EDUC_D" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="77" 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">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          5304
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          119717.053
        </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">
          14580
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          365738.726
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          26235
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          668810.757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          36714
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          923429.984
        </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">
          19814
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          524404.9
        </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">
          4610
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          117527.907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          9044
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249233.895
        </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">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3275.849
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          752
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20249.171
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          184
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5081.383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2665" name="YEDUC" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        Number of effective years of schooling
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="30"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This is variable should indicate the total number of years of formal schooling successfully completed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          119114.823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          132
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3080.083
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          467
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10638.375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34976.959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          5547
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140777.857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          6997
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          176867.682
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          9750
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          248571.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          7990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          203389.992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          8495
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          216849.137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          12430
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          306301.724
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          8264
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          206799.225
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          16020
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          410329.035
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          11502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          297253.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          3325
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86850.801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          7066
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          186298.518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          2199
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62343.234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          7813
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          212870.074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          1105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32926.876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          975
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26356.002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          233
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6362.229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          158
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4371.014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1863.947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          845.291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          985.507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          241.051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140.575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.975
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44.88
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
If the variable is not available in the original data, it can be generated using the highest level of education attained. However, the number of years of schooling required to complete different education levels is country specific.
If the level of education attained is also not provided, this variable will be missing.
Only the years of schooling successfully completed should be counted. Thus, those repeated should not be taken into consideration while generating this variable.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2666" name="ENROL" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="80" EndPos="81" width="2" RecSegNo="1"/>
      <labl>
        Level of schooling presently attending
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Currently enrolled individuals aged 10+
      </universe>
      <sumStat type="vald">
        43370
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1087525.749
      </sumStat>
      <sumStat type="invd">
        73990
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1909943.876
      </sumStat>
      <txt>
        This variable ideally provides information on the level of education in which the individual is enrolled.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          8317
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          211753.91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          12293
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          311176.396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher secondary- academic
        </labl>
        <catStat type="freq">
          12483
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          292057.583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher secondary- technical/vocational
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Post secondary- technical
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          9841
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          259405.326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          398
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12393.417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          739.118
        </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">
          73990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1909943.876
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The universe of this variable covers the individuals attending school at the time of the survey (ATTSCH=1), and will be coded missing for others.
If the type of secondary school is not specified, it is assumed to be academic (Code 3).
For the surveys in which no distinction is provided between university and post university, they are considered to be university.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated for those reported as currently attending school in the school attendance status.
The variable is generated using the highest level of education attained+1, therefore it is only generated for individuals aged 10+, i.e., if the highest level attained is primary for example, normally the individual should be attending in preparatory, except for postgraduates who remained postgraduates since no higher levels could be attained 
Those who were illiterate and are currently students were recoded into “other” education together with those indicated “read and write” in the educational status, except for individuals aged 16 years of age or younger still eligible to enroll in primary education, were reported to be in primary education.
 “Secondary” and “Intermediate college” graduates” were classified into “university” since no distinction between academic/vocational/ technical secondary is available.]]>
      </notes>
    </var>
    <var ID="V2667" name="VOC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="82" width="1" RecSegNo="1"/>
      <labl>
        Received any vocational training
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        116164
      </sumStat>
      <sumStat type="invd">
        1196
      </sumStat>
      <txt>
        The variable provides information on whether the individual received any type of vocational training even if received outside the formal schooling system.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          106578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          9586
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          1196
        </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="V2668" name="LFS" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="84" 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 10+
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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">
          40583
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1059366.165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
        <catStat type="freq">
          76777
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1938103.46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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="V2669" name="MAS" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="86" 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 10+
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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">
          32733
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          850904.173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          7850
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          208461.992
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          25839
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          674867.447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          40843
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1022198.117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          7297
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169286.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          2798
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          71751.204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2670" name="MAS_D" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="89" 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 10+
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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">
          29529
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          766052.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          991.824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2459.836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          835
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21315.848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          2040
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54930.121
        </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">
          192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4704.797
        </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">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          448.779
        </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">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          5145
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          138214.065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          2205
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56015.306
        </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">
          476
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13603.447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          629.174
        </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">
          25839
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          674867.447
        </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">
          40843
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1022198.117
        </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">
          698
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16541.249
        </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">
          6599
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          152745.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1994
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51548.593
        </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">
          450
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11330.846
        </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">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          106.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          349
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8765.001
        </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>
      <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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2671" name="EMPS" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="91" 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 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </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">
          21110
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          559811.181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          1975
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53597.212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          6089
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          156106.024
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          3532
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80677.294
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58.936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          653.527
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2146565.452
        </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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2672" name="OCC" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="94" 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 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </sumStat>
      <txt>
        Standardized occupation classification for the main job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          1594
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41348.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          4440
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121558.133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          2629
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66175.234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          560
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14396.207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          6158
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          166786.822
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          3918
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84447.995
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          4790
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          134694.721
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          2336
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          65617.886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          6284
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          155224.892
        </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">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          653.527
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2146565.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used 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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2673" name="OCC_ISCO88_2" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="98" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job [ISCO 1988-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </sumStat>
      <txt>
        Occupation classification of the main job, following the 2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          922.016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          584
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14874.183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          971
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25552.557
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          303
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9162.021
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          592
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17031.282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          2140
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55937.261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          1405
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          39427.568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          147
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3973.812
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          278
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6345.204
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          558
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12926.137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          1646
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42930.081
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          439
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11462.046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2934.161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          2742
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          73908.652
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          3416
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          92878.17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          3072
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          67290.278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          846
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17157.718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          2017
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56704.057
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          1295
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35527.135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          77
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2267.387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          1401
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40196.142
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          258
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7284.85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4359.785
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          1915
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53973.251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          1963
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51669.102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          1189
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21159.178
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
        <catStat type="freq">
          3132
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82396.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          653.527
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2146565.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2674" name="IND" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="101" 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 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </sumStat>
      <txt>
        Standardized economic activity classification for the main job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          5155
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          106514.065
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2151.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          3583
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97944.055
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          120
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3335.14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          4238
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          117179.637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          5633
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          156236.756
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          1665
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46934.973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          632
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16844.251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4336.611
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          271
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8631.058
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          546
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16163.24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          4613
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          119281.383
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          3395
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          86222.027
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          1272
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33232.095
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          1347
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          35244.06
        </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">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          653.527
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2146565.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used 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
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2675" name="IND_ISIC3_2" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="105" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job [ISIC Rev.3-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <txt>
        Economic activity classification of the main job, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          5125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          572
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          127
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          604
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          522
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          595
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          4238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          568
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          4150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          1599
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          4613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          3395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          1272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          374
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2676" name="SECTOR" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="106" EndPos="107" 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 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </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">
          7438
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          190888.927
        </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">
          24069
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          631004.08
        </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">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2576.838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          1105
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25721.865
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          712.463
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2146565.452
        </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
----------------------------------
The sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2677" name="SECTOR_D" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="108" EndPos="110" 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 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </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">
          7354
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          188003.526
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2885.401
        </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">
          16196
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          442238.279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          4341
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          108088.508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          3532
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80677.294
        </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">
          94
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2576.838
        </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">
          277
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7104.352
        </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">
          828
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18617.513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          712.463
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2146565.452
        </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
----------------------------------
The sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2678" name="GWRKPLC" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="116" width="6" RecSegNo="1"/>
      <labl>
        Geographical workplace of the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="275001" max="999999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </sumStat>
      <txt>
        This variable provides information about the geographical place of work (e.g. district/ governorate/ region) of the main job.
      </txt>
      <catgry>
        <catValu>
          275001
        </catValu>
        <labl>
          West bank
        </labl>
        <catStat type="freq">
          20617
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          521506.802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275002
        </catValu>
        <labl>
          Gaza strip
        </labl>
        <catStat type="freq">
          8923
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          244522.215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275003
        </catValu>
        <labl>
          Israel, camps or industrial borders
        </labl>
        <catStat type="freq">
          3144
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83540.267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          777777
        </catValu>
        <labl>
          Working abroad
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          681.362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          888888
        </catValu>
        <labl>
          Mobile workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          653.527
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2146565.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The geographical workplace is generated using the highest level of aggregation provided in the original data, and broke down by urban/rural if possible.


COUNTRY SPECIFIC NOTES
----------------------------------
The variable pw18, as provided in the raw data, identifies those who are working in the west bank, Gaza strip, Israel or abroad.
For those employed but temporary unpaid because of waiting for the start date of an agreed work (MAS_D=132), all main job characteristics were recoded "not stated" since they did not effectively start working.]]>
      </notes>
    </var>
    <var ID="V2679" name="EMPSTAB" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="118" width="2" RecSegNo="1"/>
      <labl>
        Employment stability in the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <txt>
        This variable indicates whether the employed individual is engaged in a regular or an irregular job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Full time/Regular
        </labl>
        <catStat type="freq">
          19751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Part time/Temporary
        </labl>
        <catStat type="freq">
          300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Seasonal/Irregular
        </labl>
        <catStat type="freq">
          1038
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11644
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </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
----------------------------------
In the raw data, variable pw23g_a is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2680" name="EMPCONT" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="121" width="3" RecSegNo="1"/>
      <labl>
        Employment contract in the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <txt>
        This variable should indicate whether the individual has an explicit (written or oral) or an implicit employment contract.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Officially hired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Written contract for an unlimited duration
        </labl>
        <catStat type="freq">
          9165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Written contract for a limited duration
        </labl>
        <catStat type="freq">
          1349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Collective agreement
        </labl>
        <catStat type="freq">
          601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Verbal agreement
        </labl>
        <catStat type="freq">
          3107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          No contract
        </labl>
        <catStat type="freq">
          6867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          11644
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
- Those reported to be officially hired are permanent workers at their main job. However, no official contract should be signed between them and their employers (e.g., governmental employees).
- Employees with a written contract for a limited duration are those for whom the main job will terminate after a fixed period of time or upon completion of a certain project/task.
- Employees with verbal or oral contracts are those for whom the main job started on the basis of a spoken agreement. Oral contracts are difficult to prove and enforce.
- The individuals for whom an employment contract would not be applicable given their employment status, should be coded 200 "No contract."
-This variable is important for measuring work stability, quality and decency.


COUNTRY SPECIFIC NOTES
----------------------------------
In the raw data, variable pw23h_a is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2681" name="BENEFIT_01" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="122" width="1" RecSegNo="1"/>
      <labl>
        Individual benefits from contribution to the pension/end of service funding
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        20981
      </sumStat>
      <sumStat type="invd">
        96379
      </sumStat>
      <txt>
        This variable provides information on the types of benefits the employed individual may receive from his/her employer.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          10729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          10252
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          96379
        </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
----------------------------------
In the raw data, variables pw23i_m1, pw23i_m2, pw23i_m3, pw23i_m4 are provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2682" name="BENEFIT_02" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="123" width="1" RecSegNo="1"/>
      <labl>
        Individual benefits from in-lieu/paid annual leave
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        21008
      </sumStat>
      <sumStat type="invd">
        96352
      </sumStat>
      <txt>
        This variable provides information on the types of benefits the employed individual may receive from his/her employer.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          10610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          10398
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          96352
        </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
----------------------------------
In the raw data, variables pw23i_m1, pw23i_m2, pw23i_m3, pw23i_m4 are provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2683" name="BENEFIT_03" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="124" width="1" RecSegNo="1"/>
      <labl>
        Individual benefits from paid sick leave
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        21006
      </sumStat>
      <sumStat type="invd">
        96354
      </sumStat>
      <txt>
        This variable provides information on the types of benefits the employed individual may receive from his/her employer.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          10565
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          10441
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          96354
        </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
----------------------------------
In the raw data, variables pw23i_m1, pw23i_m2, pw23i_m3, pw23i_m4 are provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2684" name="BENEFIT_04" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="125" EndPos="125" width="1" RecSegNo="1"/>
      <labl>
        Individual benefits from paid maternity vacation
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        2930
      </sumStat>
      <sumStat type="invd">
        114430
      </sumStat>
      <txt>
        This variable provides information on the types of benefits the employed individual may receive from his/her employer.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2193
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          114430
        </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
----------------------------------
In the raw data, variables pw23i_m1, pw23i_m2, pw23i_m3, pw23i_m4 are provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2685" name="SYDUN" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="127" width="2" RecSegNo="1"/>
      <labl>
        Affiliated to a syndicate or a vocational union
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <txt>
        This variable indicates whether the employed individual is affiliated to syndicates or vocational unions.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          27472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          5237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </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="V2686" name="ESTAB" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="129" width="2" RecSegNo="1"/>
      <labl>
        Working in an establishment at the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <txt>
        This variable indicates whether the individual is working in an establishment in his/her main job.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          10288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          22421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
This variable was generated using the original employment status variable in addition to whether the workplace is registered in the tax authority or not.
Those who are considered to be working in an establishment are all employers and self-employed who explicitly stated to be working in an establishment (pw23_a=1,3), in addition to all employees working in other types of entities registered or in the process to be registered in the Tax authority (pw23a>4 & pwd_a<3).
While those reported not to be working in an establishment are all employers and self-employed who explicitly stated not to be working in an establishment (pw23_a=2,4), in addition to all other individuals working in any other types of entities not registered in the Tax authority (pw23a>4 & pwd_a=3).]]>
      </notes>
    </var>
    <var ID="V2687" name="ESTTAX" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="131" width="2" RecSegNo="1"/>
      <labl>
        Establishment registered in tax administration
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed in establishment individuals aged 10+
      </universe>
      <sumStat type="vald">
        22421
      </sumStat>
      <sumStat type="invd">
        94939
      </sumStat>
      <txt>
        This variable indicates whether the enterprise where the individual works is registered in a tax administration.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          2107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          20161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          153
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          94939
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The enterprises which are still in the process of being registered are coded "1"- yes.

COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2688" name="NUMWRK" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="134" width="3" RecSegNo="1"/>
      <labl>
        Number of workers in establishment of the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed in establishment individuals aged 10+
      </universe>
      <sumStat type="vald">
        22421
      </sumStat>
      <sumStat type="invd">
        94939
      </sumStat>
      <txt>
        This variable indicates the number of workers in the enterprise/establishment in which the respondent is employed in his/her main job.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          1 thru 9
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          1
        </labl>
        <catStat type="freq">
          1916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          1 thru 4
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          2 thru 4
        </labl>
        <catStat type="freq">
          5259
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          5 thru 9
        </labl>
        <catStat type="freq">
          2392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          10 thru 49
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 thru 19
        </labl>
        <catStat type="freq">
          1563
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20+
        </labl>
        <catStat type="freq">
          11291
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          10 thru 24
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          25 thru 49
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          50 thru 99
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          100+
        </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">
          94939
        </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="V2689" name="HRSWK" wgt-var="V2650" files="F29" dcml="0" intrvl="contin">
      <location StartPos="135" EndPos="137" width="3" RecSegNo="1"/>
      <labl>
        Total weekly working hours in the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="140"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        140
      </sumStat>
      <sumStat type="mean">
        37.357
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        37.378
      </sumStat>
      <sumStat type="stdev">
        19.184
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        19.096
      </sumStat>
      <txt>
        This variable reports the total number of hours the individual usually works during the week on his/her main job.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The number of hours usually worked, as defined by the ILO, is the typical value (may be the modal value) of hours actually worked in the job during a certain reference period.
This variable can help in assessing time-related underemployment (visible underemployment).


COUNTRY SPECIFIC NOTES
----------------------------------
The number of weekly working hours provided in variable pw06 aggregates the total number of hours worked in all jobs (main, secondary, irregular, ..etc.).
It is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the generated variable for those cases is recoded "0".]]>
      </notes>
    </var>
    <var ID="V2690" name="FHRSWK_R_01" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="138" width="1" RecSegNo="1"/>
      <labl>
        Reason for few weekly working hours is official working hours &lt; threshold
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        9995
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        256180.37
      </sumStat>
      <sumStat type="invd">
        107365
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2741289.255
      </sumStat>
      <txt>
        This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          7619
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          196919.375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2376
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          59260.995
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          107365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2741289.255
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.  Some of the reasons reported are called "involuntary reasons." They can be used with the criterion of usually working for hours below a certain threshold to define the "visible underemployment."	


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the "zero" number of working hours reported for those cases will be "temporary absent from work".]]>
      </notes>
    </var>
    <var ID="V2691" name="FHRSWK_R_03" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="139" width="1" RecSegNo="1"/>
      <labl>
        Reason for few weekly working hours is strike/Closure
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        9995
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        256180.37
      </sumStat>
      <sumStat type="invd">
        107365
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2741289.255
      </sumStat>
      <txt>
        This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          9962
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          255253.098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          927.272
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          107365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2741289.255
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.  Some of the reasons reported are called "involuntary reasons." They can be used with the criterion of usually working for hours below a certain threshold to define the "visible underemployment."	


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the "zero" number of working hours reported for those cases will be "temporary absent from work".]]>
      </notes>
    </var>
    <var ID="V2692" name="FHRSWK_R_04" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="140" width="1" RecSegNo="1"/>
      <labl>
        Reason for few weekly working hours is unavailability of additional work
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        9995
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        256180.37
      </sumStat>
      <sumStat type="invd">
        107365
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2741289.255
      </sumStat>
      <txt>
        This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          7999
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          203583.138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1996
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52597.232
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          107365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2741289.255
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.  Some of the reasons reported are called "involuntary reasons." They can be used with the criterion of usually working for hours below a certain threshold to define the "visible underemployment."	


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the "zero" number of working hours reported for those cases will be "temporary absent from work".]]>
      </notes>
    </var>
    <var ID="V2693" name="FHRSWK_R_07" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="141" width="1" RecSegNo="1"/>
      <labl>
        Reason for few weekly working hours is family/Personal responsibilities
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        9995
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        256180.37
      </sumStat>
      <sumStat type="invd">
        107365
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2741289.255
      </sumStat>
      <txt>
        This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          8124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210267.49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1871
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          45912.881
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          107365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2741289.255
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.  Some of the reasons reported are called "involuntary reasons." They can be used with the criterion of usually working for hours below a certain threshold to define the "visible underemployment."	


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the "zero" number of working hours reported for those cases will be "temporary absent from work".]]>
      </notes>
    </var>
    <var ID="V2694" name="FHRSWK_R_08" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="142" EndPos="142" width="1" RecSegNo="1"/>
      <labl>
        Reason for few weekly working hours is temporary absence from work
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        9995
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        256180.37
      </sumStat>
      <sumStat type="invd">
        107365
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2741289.255
      </sumStat>
      <txt>
        This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          6791
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          171329.165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          3204
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84851.205
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          107365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2741289.255
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.  Some of the reasons reported are called "involuntary reasons." They can be used with the criterion of usually working for hours below a certain threshold to define the "visible underemployment."	


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the "zero" number of working hours reported for those cases will be "temporary absent from work".]]>
      </notes>
    </var>
    <var ID="V2695" name="FHRSWK_R_09" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="143" width="1" RecSegNo="1"/>
      <labl>
        Reason for few weekly working hours is unwillingness to do extra work
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        9995
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        256180.37
      </sumStat>
      <sumStat type="invd">
        107365
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2741289.255
      </sumStat>
      <txt>
        This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          9954
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          255149.603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1030.767
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          107365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2741289.255
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.  Some of the reasons reported are called "involuntary reasons." They can be used with the criterion of usually working for hours below a certain threshold to define the "visible underemployment."	


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the "zero" number of working hours reported for those cases will be "temporary absent from work".]]>
      </notes>
    </var>
    <var ID="V2696" name="FHRSWK_R_90" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="144" width="1" RecSegNo="1"/>
      <labl>
        Other reasons for few weekly working hours
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        9995
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        256180.37
      </sumStat>
      <sumStat type="invd">
        107365
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2741289.255
      </sumStat>
      <txt>
        This set of variables should provide the reason(s) for which an individual reported weekly working hours below a country specific threshold.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          9521
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          244580.353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          474
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11600.018
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          107365
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2741289.255
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The threshold used in such a variable may vary from one dataset to another. The variable's universe will denote the threshold used in each country.  Some of the reasons reported are called "involuntary reasons." They can be used with the criterion of usually working for hours below a certain threshold to define the "visible underemployment."	


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the reason for which an employee is working less than 35 hours weekly (pw07) is not reported for those who are employed but temporary absent from their work (MAS_D=110), or temporary unpaid (MAS_D=132). Thus, the main reason for the "zero" number of working hours reported for those cases will be "temporary absent from work".]]>
      </notes>
    </var>
    <var ID="V2697" name="WNTCHJ" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="146" width="2" RecSegNo="1"/>
      <labl>
        Want to change the main job/get an additional job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        32733
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        850904.173
      </sumStat>
      <sumStat type="invd">
        84627
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2146565.452
      </sumStat>
      <txt>
        The variable indicates whether the individual wants to change his/her main job or wants to have an additional one.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          29106
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          759166.962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          3552
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          90015.709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1721.502
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          84627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2146565.452
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2698" name="WNTCHJ_R" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="147" EndPos="148" width="2" RecSegNo="1"/>
      <labl>
        Reason for desiring to change the main job/get an additional job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ reported desire to change job/get additional one
      </universe>
      <sumStat type="vald">
        3552
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        90015.709
      </sumStat>
      <sumStat type="invd">
        113808
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2907453.916
      </sumStat>
      <txt>
        The variable provides the main reason for which an individual reported desire to change his/her main job or get an additional one.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Insufficient earnings
        </labl>
        <catStat type="freq">
          2388
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62990.735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Does not match the educational qualification
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Bad work conditions
        </labl>
        <catStat type="freq">
          369
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8155.685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Inappropriate work place location
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          415.797
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Present job is seasonal/casual
        </labl>
        <catStat type="freq">
          528
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12258.701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Occupation is not suitable
        </labl>
        <catStat type="freq">
          215
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5521.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Does not like present job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Inappropriate working hours
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          673.34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          113808
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2907453.916
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The "work place location" might be a reason for the desire to change the job if it is too far from the individual's residence area or if the transportation is too difficult.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the willingness to change the job or get an additional one (pw08) is not reported for those who are employed but temporary unpaid (MAS_D=132). Thus, the generated variable for those cases is recoded 99 "not stated".]]>
      </notes>
    </var>
    <var ID="V2699" name="DAYMNTH" wgt-var="V2650" files="F29" dcml="0" intrvl="contin">
      <location StartPos="149" EndPos="150" width="2" RecSegNo="1"/>
      <labl>
        Total number of working days per month in the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="31"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        21054
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        558319.595
      </sumStat>
      <sumStat type="invd">
        96306
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2439150.03
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        31
      </sumStat>
      <sumStat type="mean">
        22.299
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        22.437
      </sumStat>
      <sumStat type="stdev">
        5.637
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        5.601
      </sumStat>
      <txt>
        The total number of days usually worked during a month on the main job.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the number of "paid" working days, thus the total number of days worked might exceed the usual number of monthly working days if double paid days are counted.
In the raw data, the number of working days is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2700" name="TOTWAG" wgt-var="V2650" files="F29" dcml="2" intrvl="contin">
      <location StartPos="151" EndPos="158" width="8" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="17692.3076923077"/>
      </valrng>
      <universe clusion="I">
        Waged workers aged 10+
      </universe>
      <sumStat type="vald">
        20597
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        545447.916
      </sumStat>
      <sumStat type="invd">
        96763
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2452021.709
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        17692.308
      </sumStat>
      <sumStat type="mean">
        2047.576
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        2068.443
      </sumStat>
      <sumStat type="stdev">
        1341.244
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        1360.845
      </sumStat>
      <txt>
        This variable indicates the total monthly wage the employee receives from his/her main job.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.
TOTWAG=BASWAG+ADDWAG+ALLWNC+BONUS+INCENTV+PROFIT+OTHEARN
When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
Only daily wages in shekel are provided. The daily wages were multiplied by the number of paid working days during the month preceding the survey (pw25) to generate monthly wages.]]>
      </notes>
    </var>
    <var ID="V2701" name="SECJOB" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="160" width="2" RecSegNo="1"/>
      <labl>
        Has a secondary job during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        29529
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        766052.968
      </sumStat>
      <sumStat type="invd">
        87831
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2231416.657
      </sumStat>
      <txt>
        This variable should identify those who have a secondary job.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          28554
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          742310.347
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          975
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23742.621
        </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">
          87831
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2231416.657
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------


COUNTRY SPECIFIC NOTES
----------------------------------
This variable is only generated for those who were effectively working at the time of the survey, while for those employed but were absent from work or employed but did not start working yet, the information was not provided in the raw data, thus the variable is recoded missing.
All secondary job characteristics were not provided in the raw data, thus the remaining variables of this section were not generated.]]>
      </notes>
    </var>
    <var ID="V2702" name="EMPSSC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="162" width="2" RecSegNo="1"/>
      <labl>
        Status of employment in the secondary job during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job
      </universe>
      <sumStat type="vald">
        975
      </sumStat>
      <sumStat type="invd">
        116385
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in the secondary job, ideally following the ICSE classification (1993).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          138
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          217
        </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">
          1
        </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">
          116385
        </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="V2703" name="INDSC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="165" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the secondary job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job
      </universe>
      <sumStat type="vald">
        975
      </sumStat>
      <sumStat type="invd">
        116385
      </sumStat>
      <txt>
        Standardized economic activity classification of the secondary job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          37
        </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">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          116385
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2704" name="INDSC_ISIC3_2" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="166" EndPos="169" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the secondary job [ISIC Rev.3-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job
      </universe>
      <sumStat type="vald">
        975
      </sumStat>
      <sumStat type="invd">
        116385
      </sumStat>
      <txt>
        Economic activity classification of the secondary job, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          511
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </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">
          116385
        </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="V2705" name="SECTORSC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="170" EndPos="171" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the secondary job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job
      </universe>
      <sumStat type="vald">
        975
      </sumStat>
      <sumStat type="invd">
        116385
      </sumStat>
      <txt>
        Sector of employment of the secondary job [Standardized version]
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          16
        </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">
          948
        </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">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          116385
        </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="V2706" name="SECTORSC_D" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="172" EndPos="174" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the secondary job [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job
      </universe>
      <sumStat type="vald">
        975
      </sumStat>
      <sumStat type="invd">
        116385
      </sumStat>
      <txt>
        Sector of employment of the secondary job [Detailed version]
      </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">
          16
        </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">
          508
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          223
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          217
        </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">
          1
        </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">
          3
        </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">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          116385
        </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 "ESTABSC".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2707" name="EMPSTABSC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="175" EndPos="176" width="2" RecSegNo="1"/>
      <labl>
        Employment stability in the secondary job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job
      </universe>
      <sumStat type="vald">
        975
      </sumStat>
      <sumStat type="invd">
        116385
      </sumStat>
      <txt>
        This variable indicates whether the employed individual is engaged in a regular or an irregular job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Full time/Regular
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Part time/Temporary
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Seasonal/Irregular
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          837
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          116385
        </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
----------------------------------
In the raw data, variable pw23g_b is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2708" name="EMPCONTSC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="177" EndPos="179" width="3" RecSegNo="1"/>
      <labl>
        Employment contract in the secondary job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job
      </universe>
      <sumStat type="vald">
        975
      </sumStat>
      <sumStat type="invd">
        116385
      </sumStat>
      <txt>
        This variable should indicate whether the individual has an explicit (written or oral) or an implicit employment contract.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Officially hired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Written contract for an unlimited duration
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Written contract for a limited duration
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Collective agreement
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Verbal agreement
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          No contract
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          837
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          116385
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
- Those reported to be officially hired are permanent workers at their main job. However, no official contract should be signed between them and their employers (e.g., governmental employees).
- Employees with a written contract for a limited duration are those for whom the main job will terminate after a fixed period of time or upon completion of a certain project/task.
- Employees with verbal or oral contracts are those for whom the main job started on the basis of a spoken agreement. Oral contracts are difficult to prove and enforce.
- The individuals for whom an employment contract would not be applicable given their employment status, should be coded 200 "No contract."
-This variable is important for measuring work stability, quality and decency.



COUNTRY SPECIFIC NOTES
----------------------------------
In the raw data, variable pw23h_b is provided for employees only, while for the employers and self-employed, the data is not collected.]]>
      </notes>
    </var>
    <var ID="V2709" name="ESTABSC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="180" EndPos="181" width="2" RecSegNo="1"/>
      <labl>
        Working in an establishment at the secondary job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job
      </universe>
      <sumStat type="vald">
        975
      </sumStat>
      <sumStat type="invd">
        116385
      </sumStat>
      <txt>
        This variable indicates whether the individual is working in an establishment in his/her secondary job.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          439
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          536
        </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">
          116385
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
This variable was generated using the original employment status variable in addition to whether the workplace is registered in the tax authority or not.

Those who are considered to be working in an establishment are all employers and self-employed who explicitly stated to be working in an establishment (pw23_b=1,3), in addition to all employees working in other types of entities registered or in the process to be registered in the Tax authority (pw23a>4 & pwd_b<3).

While those reported not to be working in an establishment are all employers and self-employed who explicitly stated not to be working in an establishment (pw23_b=2,4), in addition to all other individuals working in any other types of entities not registered in the Tax authority (pw23a>4 & pwd_b=3).]]>
      </notes>
    </var>
    <var ID="V2710" name="ESTTAXSC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="182" EndPos="183" width="2" RecSegNo="1"/>
      <labl>
        Establishment registered in tax administration
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job in establishment
      </universe>
      <sumStat type="vald">
        536
      </sumStat>
      <sumStat type="invd">
        116824
      </sumStat>
      <txt>
        This variable indicates whether the enterprise where the individual works is registered in a tax administration.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          116824
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The enterprises which are still in the process of being registered are coded "1"- yes.



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2711" name="NUMWRKSC" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="184" EndPos="186" width="3" RecSegNo="1"/>
      <labl>
        Number of workers in the secondary job establishment
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+ having a secondary job in establishment
      </universe>
      <sumStat type="vald">
        536
      </sumStat>
      <sumStat type="invd">
        116824
      </sumStat>
      <txt>
        This variable indicates the number of workers in the enterprise/establishment in which the respondent is employed in his/her secondary job.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          1 thru 9
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          1
        </labl>
        <catStat type="freq">
          135
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          1 thru 4
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          2 thru 4
        </labl>
        <catStat type="freq">
          263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          5 thru 9
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          10 thru 49
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          10 thru 19
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          20+
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          10 thru 24
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          25 thru 49
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          50 thru 99
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          100+
        </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">
          116824
        </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="V2712" name="PRVWRK" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="187" EndPos="187" width="1" RecSegNo="1"/>
      <labl>
        Previously worked during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        117360
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2997469.625
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable should identify those who have previously been employed for pay or for profit for a continuous period of time.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Never worked during the reference period
        </labl>
        <catStat type="freq">
          77802
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1967808.35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed but previous job is not reported
        </labl>
        <catStat type="freq">
          32673
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          849593.37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employed &amp; reported a previous job
        </labl>
        <catStat type="freq">
          60
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1310.803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not working &amp; reported a last held job
        </labl>
        <catStat type="freq">
          6825
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          178757.102
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This information is provided for all individuals in the working-age population to identify those who have previously experienced any employment during the reference period.
In many surveys, the data is not collected for employed individuals, in such cases they are recoded "1".


COUNTRY SPECIFIC NOTES
----------------------------------
Data on previous job is only collected for employed but temporary unpaid, unemployed and inactive individuals indicating last held job characteristics.
No data on previous job for the rest of the employed individuals is provided.
Those who reported previous work experience during more than 1 year preceding the survey were recoded "0" indicating that they never worked during the reference period.]]>
      </notes>
    </var>
    <var ID="V2713" name="EMPSPRV" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="188" EndPos="189" width="2" RecSegNo="1"/>
      <labl>
        Status of employment in 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 10+
      </universe>
      <sumStat type="vald">
        6885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        180067.905
      </sumStat>
      <sumStat type="invd">
        110475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2817401.72
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in the previous/last held job, ideally following the ICSE classification (1993).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          4830
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127372.73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          206
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5461.125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          901
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23203.023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          947
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24000.768
        </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">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30.259
        </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">
          110475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2817401.72
        </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="V2714" name="OCCPRV" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="190" EndPos="192" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the previous/last held job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        6885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        180067.905
      </sumStat>
      <sumStat type="invd">
        110475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2817401.72
      </sumStat>
      <txt>
        Standardized occupation classification of the previous/last held job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          107
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2651.789
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          542
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15696.979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8995.026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2359.562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          691
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19567.066
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1089
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26671.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          1168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32888.837
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          384
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10476.556
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          2495
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60760.67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2817401.72
        </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="V2715" name="OCCPRV_ISCO88_2" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="193" EndPos="196" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the previous/last held job [ISCO 1988-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        6885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        180067.905
      </sumStat>
      <sumStat type="invd">
        110475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2817401.72
      </sumStat>
      <txt>
        Occupation classification of the previous/last held job, following the 2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          923.962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
        <catStat type="freq">
          70
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1721.442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
        <catStat type="freq">
          78
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2549.449
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1273.596
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
        <catStat type="freq">
          227
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6280.409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5593.525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          732.32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          961.437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2310.643
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
        <catStat type="freq">
          183
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4990.626
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
        <catStat type="freq">
          75
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2038.418
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          321.144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
        <catStat type="freq">
          216
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5876.224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
        <catStat type="freq">
          475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13690.842
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          487
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11703.342
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
        <catStat type="freq">
          602
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14968.078
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
        <catStat type="freq">
          687
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19705.777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
        <catStat type="freq">
          170
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4595.276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          188.424
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
        <catStat type="freq">
          304
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8399.36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
        <catStat type="freq">
          81
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2262.133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          945.047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
        <catStat type="freq">
          265
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7269.376
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
        <catStat type="freq">
          523
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12057.962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
        <catStat type="freq">
          576
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11738.216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
        <catStat type="freq">
          1396
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36964.492
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2817401.72
        </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="V2716" name="INDPRV" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="197" EndPos="199" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the previous/last held job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        6885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        180067.905
      </sumStat>
      <sumStat type="invd">
        110475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2817401.72
      </sumStat>
      <txt>
        Standardized economic activity classification of the previous/last held job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          1673
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38651.848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          28
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          731.123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          674
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18235.978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          385.828
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1860
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51199.632
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          820
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23552.341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          320
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8628.113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          168
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4426.755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          465.011
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          702.675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2897.545
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5895.091
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          359
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9452.769
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          136
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4003.414
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          452
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10839.779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2817401.72
        </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
----------------------------------]]>
      </notes>
    </var>
    <var ID="V2717" name="INDPRV_ISIC3_2" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="200" EndPos="203" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the previous/last held job [ISIC Rev.3-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        6885
      </sumStat>
      <sumStat type="invd">
        110475
      </sumStat>
      <txt>
        Economic activity classification of the previous/last held job, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
        <catStat type="freq">
          1661
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
        <catStat type="freq">
          131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
        <catStat type="freq">
          141
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          27
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          94
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          1860
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
        <catStat type="freq">
          115
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
        <catStat type="freq">
          601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
        <catStat type="freq">
          315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
        <catStat type="freq">
          234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
        <catStat type="freq">
          136
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
        <catStat type="freq">
          108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
        <catStat type="freq">
          226
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </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">
          110475
        </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="V2718" name="SECTORPRV" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="204" EndPos="205" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the previous/last held job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        6885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        180067.905
      </sumStat>
      <sumStat type="invd">
        110475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2817401.72
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the previous/last held job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          390
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10237.089
        </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">
          6005
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158095.066
        </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">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          742.238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          462
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10963.254
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30.259
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2817401.72
        </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
----------------------------------
The sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.]]>
      </notes>
    </var>
    <var ID="V2719" name="SECTORPRV_D" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="206" EndPos="208" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the previous/last held job [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        6885
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        180067.905
      </sumStat>
      <sumStat type="invd">
        110475
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2817401.72
      </sumStat>
      <txt>
        Sector of employment of the previous/last held job [Detailed version]
      </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">
          371
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9853.398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          383.691
        </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">
          3540
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97288.299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          1518
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36805.999
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          947
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24000.768
        </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">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          742.238
        </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">
          95
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2524.287
        </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">
          367
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8438.967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30.259
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110475
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2817401.72
        </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
----------------------------------
The sector of employment generated using the variable pw23, originally indicating the employment status, is not reported for those who found a job and waiting to start, in addition to all other employed individuals for whom the employment status is employer or self-employed. 
Thus, the generated variable for those who found a job is recoded "not stated", and the sector was assumed to be private for all employers and self-employed.
Regular private sector was assumed to be inside an establishment; while the irregular one was coded private sector outside an establishment.
The sector for unpaid family workers was assumed to be private-families.]]>
      </notes>
    </var>
    <var ID="V2720" name="UNEMPDUR" wgt-var="V2650" files="F29" dcml="0" intrvl="contin">
      <location StartPos="209" EndPos="211" width="3" RecSegNo="1"/>
      <labl>
        Unemployment duration in months
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="999"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        7850
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        208461.992
      </sumStat>
      <sumStat type="invd">
        109510
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2789007.633
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        84
      </sumStat>
      <txt>
        The variable reports the number of months during which the unemployed individual had stayed without work since graduation or since he/she left the last held job.
      </txt>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
      </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="V2721" name="SRCHACT_01" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="212" EndPos="212" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by registering with government offices/ministries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        7350
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        194229.371
      </sumStat>
      <sumStat type="invd">
        110010
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2803240.254
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          7207
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          190429.685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3799.686
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110010
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2803240.254
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the resume on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------
For those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.]]>
      </notes>
    </var>
    <var ID="V2722" name="SRCHACT_06" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="213" EndPos="213" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by seeking the assistance of friends/relatives/other intermediaries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        7350
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        194229.371
      </sumStat>
      <sumStat type="invd">
        110010
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2803240.254
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          5383
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          146201.026
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1967
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          48028.345
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110010
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2803240.254
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------
For those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.]]>
      </notes>
    </var>
    <var ID="V2723" name="SRCHACT_07" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="214" EndPos="214" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by applying directly to the employer
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        7350
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        194229.371
      </sumStat>
      <sumStat type="invd">
        110010
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2803240.254
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          3273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          84534.051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          4077
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109695.32
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110010
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2803240.254
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------
For those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.]]>
      </notes>
    </var>
    <var ID="V2724" name="SRCHACT_08" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="215" EndPos="215" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by reading/watching/responding to advertisements in newspapers/TV
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        7350
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        194229.371
      </sumStat>
      <sumStat type="invd">
        110010
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2803240.254
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          6221
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          162213.238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1129
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32016.133
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110010
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2803240.254
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------
For those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.]]>
      </notes>
    </var>
    <var ID="V2725" name="SRCHACT_90" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="216" EndPos="216" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job through other activities not elsewhere classified
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        7350
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        194229.371
      </sumStat>
      <sumStat type="invd">
        110010
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        2803240.254
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          7316
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          193539.484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          689.887
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          110010
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2803240.254
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------
For those who are reported unemployed but do not seek for a job in the main activity status (MAS_D=232, 233, 234), no data for search activity was collected, thus all the harmonized variables for those cases were reported missing.]]>
      </notes>
    </var>
    <var ID="V2726" name="NOTSRCH_R" wgt-var="V2650" files="F29" dcml="0" intrvl="discrete">
      <location StartPos="217" EndPos="218" width="2" RecSegNo="1"/>
      <labl>
        Reason for not seeking a job during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Inactive individuals aged 10+
      </universe>
      <sumStat type="vald">
        76777
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        1938103.46
      </sumStat>
      <sumStat type="invd">
        40583
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        1059366.165
      </sumStat>
      <txt>
        For the "inactive" in the working age population, this variable should identify the main reason for which the individual is not searching for a job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Failed to find a suitable job
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          263.397
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lack of experience/qualifications
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          525.907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Lack of jobs matching personal skills or occupation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Lack of jobs with suitable wages
        </labl>
        <catStat type="freq">
          19
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          471.927
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Considered too young or too old by prospective employers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Race/sex/religion discrimination
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Lack of infrastructure (assets roads/transportations)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Lack of employment services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Lack of social relationships
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Refusal by family
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          252.513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Do not know effective ways for job searching
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Believed that no suitable job exists
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          No jobs are available
        </labl>
        <catStat type="freq">
          394
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10069.615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tired of looking for work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Full time student
        </labl>
        <catStat type="freq">
          40843
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1022198.117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Homemaker/housewife
        </labl>
        <catStat type="freq">
          25839
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          674867.447
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          7297
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169286.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          106.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Others not elsewhere classified reasons
        </labl>
        <catStat type="freq">
          2328
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60061.081
        </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">
          40583
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1059366.165
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
All reasons are provided by the inactive individuals who are not working nor seeking a job because of discouragement or due to any of the known reasons of inactivity.



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
