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  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Template_project
        </titl>
        <IDNo>
          DDI_WBG_2000_LFS_v01_M_v01_A_ERF
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="ERF" role="Cleaning and harmonizing raw data received from the Statistical Agency">
          Economic Research Forum
        </producer>
        <prodDate date="2016-02">
          2016-02
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[Version 01
Version 02 (January 2017). Edited version based on Version 01 DDI (PAL_LFS_2000_HD_V1) that was done by Economic Research Forum.]]>
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Labor Force Survey 2000, Economic Research Forum (ERF) Harmonization Data
        </titl>
        <altTitl>
          LFS 2000
        </altTitl>
        <IDNo>
          WBG_2000_LFS_v01_M_v01_A_ERF
        </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) 2000, 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>
          <![CDATA[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.
The main objective of collecting data on the Palestinian labour force including components of employment, unemployment and underemployment, is to provide basic information on the relative size and structure of the Palestinian labour force. Data collected at different points in time provide a basis for monitoring current trends and changes in the labour market and in employment. These data supported with information on other aspects of the economy provide a basis for the evaluation and analysis of macro-economic policies.]]>
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2016-02">
          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 2000 (LFS). 

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="2000-01-01" event="start" cycle="-"/>
        <collDate date="2000-12-31" event="end" cycle="-"/>
        <nation abbr="WBG">
          West Bank and Gaza
        </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:
===========
All Palestinians aged 10 years or older living in the Palestinian Territory, excluding those living in institutions such as prisons or shelters.

Sampling Frame:
==========
The sampling frame consisted of a master sample of Enumeration Areas (EAs) selected from the population housing and establishment census 1997. The master sample consists of area units of relatively equal size (number of households), these units have been used as Primary Sampling Units (PSUs).

Sample Design:
==========
The sample is a two-stage stratified cluster random sample.

Stratification:
Four levels of stratification were made:

1. Stratification by Governorates.
2. Stratification by type of locality which comprises: (a) Urban, (b) Rural, and (c) Refugee Camps
3. Stratification by classifying localities, excluding governorate centers, into three strata based on the ownership of households of durable goods within these localities.
4. Stratification by size of locality (number of households).

Sample Size:
========
The sample size in the first quarter consisted of 7,559 households, which amounts to a sample of around 29,650 persons aged 15 years and over (including 23,677 aged 15 years and over). In the second round the sample consisted of 7,559 households, which amounts to a sample of around 29,894 persons aged 10 years and over (including 23,890 aged 15 years and over), in the third round the sample consisted of 7,559 households, which amounts to a sample of around 29,709 persons aged 10 years and over (including 23,670 aged 15 years and over). In the fourth round the sample consisted of 7,559 households; of these only 7349 households have been interviewed due to the Israeli comprehensive closure and aggression against the Palestinian people, which amounts to 28380 persons aged 10 years and over (including 22495 aged 15 years and over).  

The sample size allowed for non-response and related losses. In addition, the average number of households selected in each cell was 16.

Sample Rotation:
===========
Each round of the Labor Force Survey covers all the 481 master sample 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 over 2 consecutive rounds, rests for the next two rounds and represented again in the sample for another and last 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).
In earlier applications of the LFS (rounds 1 to 11); the rotation pattern used was different; requiring a household to remain in the sample for six consecutive rounds, then dropped. The objective of such a pattern was to increase the overlap between consecutive rounds. The new rotation pattern was introduced to reduce the burden on the households resulting from visiting the same household for six consecutive times.]]>
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[One of the main survey tools is the questionnaire, 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/>
        <collSitu>
          <![CDATA[Pilot Survey
========
A pilot survey for the first round was calculated in May 1995 on the basis of about 90 households in the West Bank. It covered main types of households encountered in the full-fledged survey. Thus, it included households from urban areas, from Rural, and from refugee camps, household engaged in self-employment activities, as well as in paid employment, households in the informal sector as well as the formal sector and educated respondents as well as illiterates.
On the basis of the results from the first round in September-October, 1995, the survey questionnaire and the fieldwork forms and procedures were reviewed and modified in order to assure the collection of accurate data.

Training and Recruitment:
================
The purpose of the training courses was to teach participants the main skills needed to conduct interviews. Two training courses were held, one in Ramallah for the West Bank trainees, and one in Gaza City for Gaza Strip trainees. 
Each course consisted of two parts:
one on survey methodology including survey design, questionnaire design, interviewing techniques, and field operations; and one part on specifications of the labour force survey, including concepts and definitions, fieldwork procedures, data collection, editing, coding, tips for asking questions and recording answers, as well as field team organization and field supervision.
The training courses included lectures and field exercises. Each course lasted 3 days, training 11 interviewers and 4 supervisors.

Fieldwork:
======
The preparation phase for the LFS included recruiting and training of interviewers and supervisors. The staff on this project participated in previous survey projects at PCBS, and are highly qualified.

The West Bank was divided into three areas (North, Middle and South), each of which was supervised by one field supervisor. Each region consists of a number of districts, and the fieldwork was carried out by one fieldwork team, consisting of 2-3 interviewers.

Gaza Strip was also divided into three areas (North, Middle and South). Fieldwork activities were carried out by one fieldwork team, each consisting of a supervisor, an editor and 3 interviewers.
Special procedures were followed in order to ensure quality control and efficient organization of fieldwork. Such procedures are important for supervising work, as well as for receiving and delivering questionnaires, maps, sample lists in addition to other forms used for management and quality control.

Field operations were conducted in the Palestinian Territory from 09/01/2000 to 11/01/2001. Fieldwork teams were distributed to each area on the basis of the sample size. The number of LFS’ fieldwork team was 18, including the fieldwork coordinator, 4 supervisors, 3 editors, and 10 interviewers including coders.

Reference week:
==========
The week ending on Friday perceding the interviewer’s visit to the household. four quarters have been carried out at 2000, the first quarter covered the period (January – March), second quarter (April-June), and third quarter (July-September) and the last quarter at 2000 covered the period (October-December).]]>
        </collSitu>
        <weight>
          <![CDATA[The weight of the statistical units (sampling units) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is a two-stage stratified cluster sample. Thus, in the first stage we calculate the weight of enumeration areas  depending on the probability of each enumeration area (a systematic random sample). In the second stage we calculate the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. Final household weights were obtained after adjustment of initial weights with the household estimates of the middle of each quarter of 2000 with regard to design strata (governorate, locality type).   

For individuals aged 10 years or older, we added the final household weight for each person, then adjusted the initial individual weight with the estimates of individuals of the middle of each quarter of 2000 according to region (West Bank, Gaza Strip), sex ( male, female), five -year age groups (14 groups), then we obtained the final adjusted individual weight.]]>
        </weight>
        <cleanOps>
          <![CDATA[Raw Data
=======
The data processing stage consisted of the following operations:
1. Editing before data entry
All questionnaires were then edited in the main office using the same instructions adopted for editing in the field.

2. Coding
At this stage, the Economic Activity variable underwent coding according to West Bank and Gaza Strip Standard commodities Classification, based on the United Nations ISIC-3. The Economic Activity for all employed and ever employed individuals was classified at the fourth-digit-level. The occupations were coded on the basis of the International Standard Occupational Classification of 1988 at the third-digit-level (ISCO-88).

3. Data Entry
In this stage data were entered into the computer, using a data entry template BLAISE. The data entry program was prepared in order to satisfy the following requirements:

- Duplication of the questionnaire on the computer screen.
- Logical and consistency checks of data entered.
- Possibility for internal editing of questionnaire answers.
- Maintaining a minimum of errors in digital data entry and fieldwork.
- User-friendly handling

Accordingly, data editing took place at a number of stages through the processing including:
1. office editing and coding
2. during data entry
3. structure checking and completeness
4. structural checking of SPSS data files

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>
      <notes>
        Both data entry and tabulation were performed using the ACCESS and SPSS software programs. Data entry was organized in one files, corresponding to the main parts of the questionnaire. A data entry template was designed to reflect an exact image of the questionnaire, and included various electronic checks: logical check, range checks, consisting checks and cross-validation. Complete manual inspection of results after data entry was performed, and questionnaires containing field-related errors were sent back to the field for correction.
      </notes>
      <anlyInfo>
        <respRate>
          <![CDATA[The overall response rate for the survey was 89.5%

More information on the distribution of response rates by different survey rounds is available in Page 11 of the data user guide provided among the disseminated survey materials under a file named "Palestine 2000- Data User Guide (English).pdf".]]>
        </respRate>
        <EstSmpErr>
          <![CDATA[Since the data reported here are based on a sample survey and not on a complete enumeration, they are subjected to sampling errors as well as non-sampling errors.
Sampling errors are random outcomes of the sample design, and are, therefore, in principle measurable by the statistical concept of standard error. 

A description of the estimated standard errors and the effects of the sample design on sampling errors are provided in the annual report provided among the disseminated survey materials under a file named "Palestine 2000- LFS Annual Report (English).pdf".]]>
        </EstSmpErr>
        <dataAppr>
          <![CDATA[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 following are possible sources of non-sampling errors:

• Errors due to non-response because households were away from home or refused to participate. The overall non response rate amounted to almost 10.5% which is relatively low; a much higher rates is rather common in an international perspective. The refusal rate was only 0.4%. It is difficult however to assess the amount of bias resulting from non response. The PCBS has not yet undertaken any non-response study. Such a study may indicate, that non-response is more frequent in some population groups than in others. This is rather normal and such information is necessary to be able to compensate for bias resulting from non-response errors.

• Households interviewed in a week different than the reference week. All households were interviewed in the reference week in this survey.

• 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.

The demographic data, including the sex ratio by age were computed and found generally reasonable and consistent with those found from other sources. These results and the various checks for external validity indicate that the survey data are of a high quality.]]>
        </dataAppr>
      </anlyInfo>
    </method>
    <dataAccs>
      <setAvail>
        <accsPlac URI="http://erfdataportal.com/index.php/catalog/87">
          Economic Research Forum
        </accsPlac>
        <origArch>
          <![CDATA[Economic Research Forum
http://erfdataportal.com/index.php/catalog/87
Cost: None]]>
        </origArch>
      </setAvail>
      <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 2000 - 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>
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    <fileTxt>
      <fileName>
        Palestine00-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="F2" keyvar="V3 V6 V7"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          0
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          102
        </varQnty>
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      <fileType>
        Nesstar 200801
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  <fileDscr ID="F2" URI="WBG_2000_LFS_v01_M_v01_A_ERF.Nesstar?Index=1&amp;Name=Palestine00-LFS IND-V1">
    <fileTxt>
      <fileName>
        Palestine00-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.]]>
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          0
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          65
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      <fileType>
        Nesstar 200801
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  <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="V1 V2 V3 V4 V5 V6 V7">
      <labl>
        File identification and information
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V8 V9 V10">
      <labl>
        Geographical characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V11 V12 V13">
      <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="V26 V31 V36 V37 V38 V43 V48 V53 V58 V63 V68 V73 V78 V83 V88 V93 V98">
      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG9" type="subject" var="V27 V28 V29 V30 V32 V33 V34 V35 V39 V40 V41 V42 V44 V45 V46 V47 V49 V50 V51 V52 V54 V55 V56 V57 V59 V60 V61 V62 V64 V65 V66 V67 V69 V70 V71 V72 V74 V75 V76 V77 V79 V80 V81 V82 V84 V85 V86 V87 V89 V90 V91 V92 V94 V95 V96 V97 V99 V100 V101 V102">
      <labl>
        Spouse's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V103 V104 V105 V106 V107 V108 V109 V110 V111 V112">
      <labl>
        File identification and information
      </labl>
    </varGrp>
    <varGrp ID="VG11" type="subject" var="V113 V114 V115">
      <labl>
        Geographical characteristics
      </labl>
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      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG13" type="subject">
      <labl>
        Nationality and Immigration
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V122 V123 V124 V125 V126 V127 V128">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V129 V130 V131">
      <labl>
        Current labor status
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V132 V133 V134 V135 V136 V137 V138 V139 V140 V141 V142 V143 V144 V145 V146 V147 V148 V149 V150">
      <labl>
        Employment in main job
      </labl>
    </varGrp>
    <varGrp ID="VG17" type="subject" var="V151">
      <labl>
        Wages and incomes
      </labl>
    </varGrp>
    <varGrp ID="VG18" type="subject" var="V152">
      <labl>
        Employment in secondary job
      </labl>
    </varGrp>
    <varGrp ID="VG19" type="subject" var="V153 V154 V155 V156 V157 V158 V159 V160">
      <labl>
        Last held job characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V161 V162 V163 V164 V165 V166">
      <labl>
        Unemployment characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG21" type="subject" var="V167">
      <labl>
        Inactivity reason(s)
      </labl>
    </varGrp>
    <varGrp ID="VG22" type="subject" var="V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 V25">
      <labl>
        LFS classification of household members
      </labl>
    </varGrp>
    <var ID="V1" name="COUNTRY" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        A numeric variable representing the country and coded per the UN’s Dec. 2012, country classification.
      </txt>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
      </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="V2" name="YEAR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2000" max="2000"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed.
      </txt>
      <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="V3" name="ROUND" files="F1" 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 UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the round during which the household was observed.
      </txt>
      <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="V4" name="DTYPE" files="F1" 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 UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable should indicate whether the survey data is cross-sectional or panel.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cross-sectional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panel
        </labl>
      </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="V5" name="DREP" files="F1" 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 UNITS="REAL" min="1" max="34"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat 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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Second round only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Third round only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Fourth round only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          First and second rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          First and third rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          First and fourth rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Second and third rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Second and fourth rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Third and fourth rounds
        </labl>
      </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="V6" name="CASESER" files="F1" dcml="0" intrvl="contin">
      <location StartPos="12" EndPos="17" width="6" RecSegNo="1"/>
      <labl>
        Unique household identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="197559"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat 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="V7" name="HPNLID" files="F1" dcml="0" intrvl="contin">
      <location StartPos="18" EndPos="23" width="6" RecSegNo="1"/>
      <labl>
        Household panel identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2" max="363730"/>
      </valrng>
      <universe clusion="I">
        Paneled households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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="V8" name="REG" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="24" EndPos="29" width="6" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="275001" max="275002"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Region of residence.
      </txt>
      <catgry>
        <catValu>
          275001
        </catValu>
        <labl>
          West bank
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275002
        </catValu>
        <labl>
          Gaza strip
        </labl>
      </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="V9" name="AREA" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="30" EndPos="35" width="6" RecSegNo="1"/>
      <labl>
        Area
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="275001" max="275075"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat 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>
      </catgry>
      <catgry>
        <catValu>
          275005
        </catValu>
        <labl>
          Tubas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275010
        </catValu>
        <labl>
          Tulkarm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275015
        </catValu>
        <labl>
          Nablus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275020
        </catValu>
        <labl>
          Qalqilia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275025
        </catValu>
        <labl>
          Salfit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275030
        </catValu>
        <labl>
          Ramallah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275035
        </catValu>
        <labl>
          Jericho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275040
        </catValu>
        <labl>
          Jerusalem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275045
        </catValu>
        <labl>
          Bethlehem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275050
        </catValu>
        <labl>
          Hebron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275055
        </catValu>
        <labl>
          North Gaza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275060
        </catValu>
        <labl>
          Gaza city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275065
        </catValu>
        <labl>
          Deir Al-Balah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275070
        </catValu>
        <labl>
          Khan Yunis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275075
        </catValu>
        <labl>
          Rafah
        </labl>
      </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="V10" name="RURURB" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="36" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
      </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="V11" name="TPNUM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="37" EndPos="38" width="2" RecSegNo="1"/>
      <labl>
        Total number of household members
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="20"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Total number of household members
      </txt>
      <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="V12" name="MALNUM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="40" width="2" RecSegNo="1"/>
      <labl>
        Total number of males in the household
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="13"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Total number of males in the household
      </txt>
      <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="V13" name="FEMNUM" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="41" EndPos="42" width="2" RecSegNo="1"/>
      <labl>
        Total number of females in the household
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="12"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Total number of females in the household
      </txt>
      <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="V14" name="MALUNEMP_PW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="43" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+ males who have previously worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of unemployed 15+ males who have previously worked
      </txt>
      <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="V15" name="MALUNEMP_NW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="44" EndPos="44" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+ males who have never worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of unemployed 15+ males who have never worked
      </txt>
      <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="V16" name="FEMUNEMP_PW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+females who have previously worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of unemployed 15+ females who have previously worked
      </txt>
      <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="V17" name="FEMUNEMP_NW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="46" EndPos="46" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+females who have never worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of unemployed 15+ females who have never worked
      </txt>
      <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="V18" name="HUNEMP_PW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="47" EndPos="47" 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 UNITS="REAL" min="0" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Number of 15+ unemployed household members  who have previously worked]]>
      </txt>
      <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="V19" name="HUNEMP_NW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="48" 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 UNITS="REAL" min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of 15+ unemployed household members who have never worked
      </txt>
      <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="V20" name="MALINLF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ males in the labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of 15+ males in the labor force
      </txt>
      <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="V21" name="FEMINLF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+females in the labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of 15+ females in the labor force
      </txt>
      <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="V22" name="HINLF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="52" width="2" RecSegNo="1"/>
      <labl>
        <![CDATA[Number of 15+ household members  in the labor force]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="11"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of 15+ household members in the labor force
      </txt>
      <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="V23" name="MALOUTLF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ males out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="7"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of 15+ males out of labor force
      </txt>
      <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="V24" name="FEMOUTLF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="54" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ females out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of 15+ females out of labor force
      </txt>
      <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="V25" name="HOUTLF" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="56" width="2" RecSegNo="1"/>
      <labl>
        Number of 15+ household members out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="11"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Number of 15+ household members out of labor force
      </txt>
      <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="V26" name="AGEHD" files="F1" dcml="0" intrvl="contin">
      <location StartPos="57" EndPos="59" width="3" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="15" max="115"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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="V27" name="AGESP_1" files="F1" dcml="0" intrvl="contin">
      <location StartPos="60" EndPos="61" width="2" RecSegNo="1"/>
      <labl>
        Age of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="14" max="93"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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="V28" name="AGESP_2" files="F1" dcml="0" intrvl="contin">
      <location StartPos="62" EndPos="63" width="2" RecSegNo="1"/>
      <labl>
        Age of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="18" max="78"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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="V29" name="AGESP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="64" EndPos="65" width="2" RecSegNo="1"/>
      <labl>
        Age of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="22" max="34"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Age of the third 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="V30" name="AGESP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="67" width="2" RecSegNo="1"/>
      <labl>
        Age of the fourth spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="27" max="27"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Age of the fourth 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="V31" name="SEXHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="68" EndPos="68" width="1" RecSegNo="1"/>
      <labl>
        Gender of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Gender of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </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="V32" name="SEXSP_1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="69" width="1" RecSegNo="1"/>
      <labl>
        Gender of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Gender of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </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="V33" name="SEXSP_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="70" width="1" RecSegNo="1"/>
      <labl>
        Gender of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Gender of the second  spouse.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </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="V34" name="SEXSP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="71" width="1" RecSegNo="1"/>
      <labl>
        Gender of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Gender of the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </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="V35" name="SEXSP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="72" width="1" RecSegNo="1"/>
      <labl>
        Gender of the fourth spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Gender of the fourth spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </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="V36" name="MARTHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="74" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V37" name="MARTHD_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="77" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Heads aged 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <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
----------------------------------
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="V38" name="LITHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="79" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat 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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V39" name="LITSP_1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="80" EndPos="81" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V40" name="LITSP_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="82" EndPos="83" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V41" name="LITSP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="85" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V42" name="LITSP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="87" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the fourth spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates whether the fourth spouse is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V43" name="EDUHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="89" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V44" name="EDUSP_1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="91" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V45" name="EDUSP_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V46" name="EDUSP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="95" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V47" name="EDUSP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="96" EndPos="97" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the fourth spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the fourth spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V48" name="EDUHD_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="100" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
      </catgry>
      <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="V49" name="EDUSP_1_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="103" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the first spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
      </catgry>
      <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="V50" name="EDUSP_2_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="106" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the second spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
      </catgry>
      <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="V51" name="EDUSP_3_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="109" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the third spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
      </catgry>
      <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="V52" name="EDUSP_4_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="112" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the fourth spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the fourth spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
      </catgry>
      <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="V53" name="MASHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="114" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the head during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V54" name="MASSP_1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="116" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V55" name="MASSP_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="118" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
 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="V56" name="MASSP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="120" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the third spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V57" name="MASSP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="122" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the fourth spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the fourth spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
 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 


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V58" name="MASHD_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="125" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat 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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
      </catgry>
      <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
----------------------
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
----------------------------------
The category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.
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="V59" name="MASSP_1_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="128" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
      </catgry>
      <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
----------------------
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
----------------------------------
The category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.
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="V60" name="MASSP_2_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="131" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
      </catgry>
      <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
----------------------
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
----------------------------------
The category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.
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="V61" name="MASSP_3_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="132" EndPos="134" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
      </catgry>
      <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
----------------------
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
----------------------------------
The category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.
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="V62" name="MASSP_4_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="137" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the fourth spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Main activity status of the fourth spouse during the survey period (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
      </catgry>
      <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
----------------------
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
----------------------------------
The category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.
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="V63" name="EMPSHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="139" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Detailed description of the employment status of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V64" name="EMPSSP_1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="140" EndPos="141" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Detailed description of the employment status of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V65" name="EMPSSP_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="142" EndPos="143" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Detailed description of the employment status of the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V66" name="EMPSSP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="145" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Detailed description of the employment status of the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V67" name="EMPSSP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="147" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the fourth spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Detailed description of the employment status of the fourth spouse.
      </txt>
      <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="V68" name="OCCHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="150" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the head.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V69" name="OCCSP_1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="151" EndPos="153" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V70" name="OCCSP_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="154" EndPos="156" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V71" name="OCCSP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="159" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V72" name="OCCSP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="160" EndPos="162" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the fourth spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Standardized occupation classification of the main job of the fourth spouse.
      </txt>
      <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="V73" name="OCCHD_ISCO88_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="166" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
          1
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V74" name="OCCSP_1_ISCO88_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="167" EndPos="170" width="4" RecSegNo="1"/>
      <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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        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>
          1
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V75" name="OCCSP_2_ISCO88_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="171" EndPos="174" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the second spouse [ISCO 1988-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
          1
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V76" name="OCCSP_3_ISCO88_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="175" EndPos="178" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
          1
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V77" name="OCCSP_4_ISCO88_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="179" EndPos="182" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the fourth spouse [ISCO 1988-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Occupation classification of the main job of the fourth spouse, following the 2-digits International Standard Classification of Occupations for the year 1988 (ISCO-88).
      </txt>
      <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="V78" name="INDHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="183" EndPos="185" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the head.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V79" name="INDSP_1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="186" EndPos="188" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V80" name="INDSP_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="189" EndPos="191" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V81" name="INDSP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="192" EndPos="194" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V82" name="INDSP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="195" EndPos="197" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the fourth spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the fourth spouse.
      </txt>
      <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="V83" name="INDHD_ISIC3_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="198" EndPos="201" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Economic activity classification of the main job of the head, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V84" name="INDSP_1_ISIC3_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="202" EndPos="205" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Economic activity classification of the main job of the first spouse, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V85" name="INDSP_2_ISIC3_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="206" EndPos="209" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Economic activity classification of the main job of the second spouse, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V86" name="INDSP_3_ISIC3_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="210" EndPos="213" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Economic activity classification of the main job of the third spouse, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Agriculture, hunting and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V87" name="INDSP_4_ISIC3_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="214" EndPos="217" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the fourth spouse [ISIC Rev.3-2 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Economic activity classification of the main job of the fourth spouse, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 3 (ISIC Rev.3).
      </txt>
      <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="V88" name="SECTORHD" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="218" EndPos="219" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V89" name="SECTORSP_1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="220" EndPos="221" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V90" name="SECTORSP_2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="222" EndPos="223" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V91" name="SECTORSP_3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="224" EndPos="225" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V92" name="SECTORSP_4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="226" EndPos="227" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the fourth spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the fourth spouse.
      </txt>
      <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="V93" name="SECTORHD_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="228" EndPos="230" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
      </catgry>
      <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
----------------------
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="V94" name="SECTORSP_1_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="231" EndPos="233" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
      </catgry>
      <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
----------------------
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="V95" name="SECTORSP_2_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="234" EndPos="236" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
      </catgry>
      <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
----------------------
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="V96" name="SECTORSP_3_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="237" EndPos="239" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
      </catgry>
      <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
----------------------
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="V97" name="SECTORSP_4_D" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="240" EndPos="242" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the fourth spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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>
      <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="V98" name="TOTWAGHD" files="F1" dcml="2" intrvl="contin">
      <location StartPos="243" EndPos="250" 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="40941.9067382812"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Heads aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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="V99" name="TOTWAGSP_1" files="F1" dcml="2" intrvl="contin">
      <location StartPos="251" EndPos="257" width="7" 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="8307.69268798828"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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="V100" name="TOTWAGSP_2" files="F1" dcml="2" intrvl="contin">
      <location StartPos="258" EndPos="264" width="7" 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="349.999996185303" max="2848.86006164551"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        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>
      <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="V101" name="TOTWAGSP_3" files="F1" dcml="2" intrvl="discrete">
      <location StartPos="265" EndPos="268" 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 type="invd">
        0
      </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>
      <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="V102" name="TOTWAGSP_4" files="F1" dcml="2" intrvl="discrete">
      <location StartPos="269" EndPos="272" width="4" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job of the fourth spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <universe clusion="I">
        Waged Workers Spouses aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the total monthly wage the fourth 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="V103" name="COUNTRY" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </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="V104" name="YEAR" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2000" max="2000"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed.
      </txt>
      <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="V105" name="ROUND" wgt-var="V112" files="F2" 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 UNITS="REAL" min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      <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="V106" name="DTYPE" wgt-var="V112" files="F2" 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 UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable should indicate whether the survey data is cross-sectional or panel.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cross-sectional
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panel
        </labl>
      </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="V107" name="DREP" wgt-var="V112" files="F2" 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 UNITS="REAL" min="1" max="34"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Second round only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Third round only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Fourth round only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          First and second rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          First and third rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          First and fourth rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Second and third rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Second and fourth rounds
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Third and fourth rounds
        </labl>
      </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="V108" name="CASESER" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="12" EndPos="17" width="6" RecSegNo="1"/>
      <labl>
        Unique household identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="197559"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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="V109" name="HPNLID" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="18" EndPos="23" width="6" RecSegNo="1"/>
      <labl>
        Household panel identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="2" max="363730"/>
      </valrng>
      <universe clusion="I">
        Paneled individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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="V110" name="PNUM" wgt-var="V112" files="F2" dcml="0" intrvl="contin">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Individual identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="33"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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="V111" name="PPNLID" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="26" EndPos="27" width="2" RecSegNo="1"/>
      <labl>
        Individual panel identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="33"/>
      </valrng>
      <universe clusion="I">
        Paneled individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      <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="V112" name="PWEIGHT" wgt="wgt" files="F2" dcml="2" intrvl="contin">
      <location StartPos="28" EndPos="32" width="5" RecSegNo="1"/>
      <labl>
        Individual weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="3.86908149719238" max="59.4619522094726"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </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="V113" name="REG" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="38" width="6" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="275001" max="275002"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          275002
        </catValu>
        <labl>
          Gaza strip
        </labl>
      </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="V114" name="AREA" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="44" width="6" RecSegNo="1"/>
      <labl>
        Area
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="275001" max="275075"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          275005
        </catValu>
        <labl>
          Tubas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275010
        </catValu>
        <labl>
          Tulkarm
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275015
        </catValu>
        <labl>
          Nablus
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275020
        </catValu>
        <labl>
          Qalqilia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275025
        </catValu>
        <labl>
          Salfit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275030
        </catValu>
        <labl>
          Ramallah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275035
        </catValu>
        <labl>
          Jericho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275040
        </catValu>
        <labl>
          Jerusalem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275045
        </catValu>
        <labl>
          Bethlehem
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275050
        </catValu>
        <labl>
          Hebron
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275055
        </catValu>
        <labl>
          North Gaza
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275060
        </catValu>
        <labl>
          Gaza city
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275065
        </catValu>
        <labl>
          Deir Al-Balah
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275070
        </catValu>
        <labl>
          Khan Yunis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275075
        </catValu>
        <labl>
          Rafah
        </labl>
      </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="V115" name="RURURB" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="45" EndPos="45" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
      </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="V116" name="AGE" wgt-var="V112" files="F2" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="48" width="3" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="115"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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="V117" name="SEX" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="49" EndPos="49" width="1" RecSegNo="1"/>
      <labl>
        Gender
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </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="V118" name="MART" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Marital status [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage &amp; partnership (even if not married, an individual can still be legally recognized as being in a relationship).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V119" name="MART_D" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="54" width="3" RecSegNo="1"/>
      <labl>
        Marital status [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 12+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Detailed legal administrative status concerning marriage &amp; partnership (even if not married, an individual can still be legally recognized as being in a relationship).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <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
----------------------
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="V120" name="REL" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="55" EndPos="55" width="1" RecSegNo="1"/>
      <labl>
        Relationship to head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/mother (parents)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </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="V121" name="REL_D" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Relationship to head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="850"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/daughter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Adopted children
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Father/mother (parents)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Grandparents
        </labl>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Father/mother in law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Brother/sister in law
        </labl>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Nephew/niece
        </labl>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other non-relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Servants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          820
        </catValu>
        <labl>
          Doorkeeper
        </labl>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Driver
        </labl>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          Shepherd
        </labl>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          Farmer
        </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="V122" name="LIT" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Literacy status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V123" name="EVERATTD" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        Ever attended school
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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.
By logic, EVERATTD, EDUC and ATTSCH have the following relationship: 
If ATTSCH=1, EVERATTD=1
If EDUC>=2 (and ? 99), EVERATTD=1 
If EDUC=99 & ATTSCH=0, EVERATTD=0


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V124" name="ATTSCH" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        School attendance status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V125" name="EDUC" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="66" width="2" RecSegNo="1"/>
      <labl>
        Educational level [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V126" name="EDUC_D" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="69" width="3" RecSegNo="1"/>
      <labl>
        <![CDATA[Educational level  [Detailed version]]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
      </catgry>
      <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="V127" name="YEDUC" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        Number of effective years of schooling
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="29"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      <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="V128" name="ENROL" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="73" width="2" RecSegNo="1"/>
      <labl>
        Level of schooling presently attending
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Currently enrolled individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lower secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher secondary- academic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher secondary- technical/vocational
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Post secondary- technical
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Postgraduate
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V129" name="LFS" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="75" width="2" RecSegNo="1"/>
      <labl>
        Labor force status in the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V130" name="MAS" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        Main activity status in the reference period [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V131" name="MAS_D" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="80" width="3" RecSegNo="1"/>
      <labl>
        Main activity status in the reference period [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
      </catgry>
      <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
----------------------
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
----------------------------------
The category 530, indicating those who are inactive because of disability, identifies as well some respondents who have been abroad at the time of survey, as defined in the raw data, those could not be separately classified.
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="V132" name="EMPS" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="82" 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 UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V133" name="OCC" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="85" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Standardized occupation classification for the main job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V134" name="OCC_ISCO88_2" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="86" EndPos="89" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
          1
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V135" name="IND" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="90" EndPos="92" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Standardized economic activity classification for the main job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V136" name="IND_ISIC3_2" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="96" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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
----------------------------------
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="V137" name="SECTOR" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V138" name="SECTOR_D" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="101" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the main job [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
      </catgry>
      <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
----------------------
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="V139" name="GWRKPLC" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="102" EndPos="107" width="6" RecSegNo="1"/>
      <labl>
        Geographical workplace of the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="275001" max="999999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          275002
        </catValu>
        <labl>
          Gaza strip
        </labl>
      </catgry>
      <catgry>
        <catValu>
          275003
        </catValu>
        <labl>
          Israel, camps or industrial borders
        </labl>
      </catgry>
      <catgry>
        <catValu>
          777777
        </catValu>
        <labl>
          Working abroad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          888888
        </catValu>
        <labl>
          Mobile workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          999999
        </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
----------------------
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="V140" name="HRSWK" wgt-var="V112" files="F2" dcml="0" intrvl="contin">
      <location StartPos="108" EndPos="109" width="2" RecSegNo="1"/>
      <labl>
        Total weekly working hours in the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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="V141" name="FHRSWK_R_01" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="110" EndPos="110" 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 UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V142" name="FHRSWK_R_03" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="111" width="1" RecSegNo="1"/>
      <labl>
        Reason for few weekly working hours is strike/Closure
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V143" name="FHRSWK_R_04" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="112" EndPos="112" 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 UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V144" name="FHRSWK_R_07" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="113" 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 UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V145" name="FHRSWK_R_08" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="114" EndPos="114" 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 UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V146" name="FHRSWK_R_09" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="115" 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 UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V147" name="FHRSWK_R_90" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="116" EndPos="116" width="1" RecSegNo="1"/>
      <labl>
        Other reasons for few weekly working hours
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ and working weekly less than 35 hours
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V148" name="WNTCHJ" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="117" EndPos="118" 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 UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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="V149" name="WNTCHJ_R" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="119" EndPos="120" 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 UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+ reported desire to change job/get additional one
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Does not match the educational qualification
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Bad work conditions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Inappropriate work place location
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Present job is seasonal/casual
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Occupation is not suitable
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Does not like present job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Inappropriate working hours
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V150" name="DAYMNTH" wgt-var="V112" files="F2" dcml="0" intrvl="contin">
      <location StartPos="121" EndPos="122" 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 UNITS="REAL" min="0" max="31"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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="V151" name="TOTWAG" wgt-var="V112" files="F2" dcml="2" intrvl="contin">
      <location StartPos="123" EndPos="130" 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="40941.9067382812"/>
      </valrng>
      <universe clusion="I">
        Waged workers aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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="V152" name="SECJOB" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="132" width="2" RecSegNo="1"/>
      <labl>
        Has a secondary job during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable should identify those who have a secondary job.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------------------
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="V153" name="PRVWRK" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="133" width="1" RecSegNo="1"/>
      <labl>
        Previously worked during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed but previous job is not reported
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employed &amp; reported a previous job
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Not working &amp; reported a last held job
        </labl>
      </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="V154" name="EMPSPRV" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="134" EndPos="135" width="2" RecSegNo="1"/>
      <labl>
        Status of employment in the previous/last held job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V155" name="OCCPRV" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="136" EndPos="138" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Standardized occupation classification of the previous/last held job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V156" name="OCCPRV_ISCO88_2" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="139" EndPos="142" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
          1
        </catValu>
        <labl>
          Armed forces
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Corporate managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          General managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Physical, mathematical and engineering science professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Life science and health professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Other professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Physical and engineering science associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Life science and health associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Teaching associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Other associate professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Office clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Customer services clerks
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Personal and protective services workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Models, salespersons and demonstrators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Market-oriented skilled agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Subsistence agricultural and fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Extraction and building trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Precision, handicraft, printing and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other craft and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Stationary-plant and related operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Machine operators and assemblers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Drivers and mobile-plant operators
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Sales and services elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Agricultural, fishery and related laborers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Laborers in mining, construction, manufacturing and transpor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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="V157" name="INDPRV" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="143" EndPos="145" 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 UNITS="REAL" min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Standardized economic activity classification of the previous/last held job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
      </catgry>
      <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
----------------------
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="V158" name="INDPRV_ISIC3_2" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="149" 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 UNITS="REAL" min="1" max="9999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Forestry, logging and related service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Fishing, operation of fish hatcheries and fish farms; servic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Mining of coal and lignite; extraction of peat
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Extraction of crude petroleum &amp; natural gas; service activit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Mining of uranium and thorium ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Mining of metal ores
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Other mining and quarrying
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Manufacture of food products and beverages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Manufacture of textiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Manufacture of wearing apparel; dressing and dyeing of fur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Manufacture of wood/cork and its products, except furniture;
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Publishing, printing and reproduction of recorded media
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Manufacture of coke, refined petroleum products and nuclear
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Manufacture of chemicals and chemical products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Manufacture of rubber and plastics products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Manufacture of other non-metallic mineral products
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Manufacture of basic metals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Manufacture of fabricated metal products, except machinery a
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Manufacture of machinery and equipment n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacture of office, accounting and computing machinery
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Manufacture of electrical machinery and apparatus n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Manufacture of radio, television and communication equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Manufacture of medical, precision and optical instruments, w
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Manufacture of motor vehicles, trailers and semi-trailers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Manufacture of other transport equipment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Manufacture of furniture; manufacturing n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          Recycling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas, steam and hot water supply
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          Collection, purification and distribution of water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          45
        </catValu>
        <labl>
          Construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Sale, maintenance and repair of motor vehicles and motorcycl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Wholesale trade and commission trade, except of motor vehicl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Retail trade, except of motor vehicles and motorcycles; repa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Hotels and restaurants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Land transport; transport via pipelines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Water transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Air transport
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Supporting and auxiliary transport activities; activities of
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Post and telecommunications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Financial intermediation, except insurance and pension fundi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Insurance and pension funding, except compulsory social secu
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Activities auxiliary to financial intermediation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Real estate activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Renting of machinery and equipment without operator and of p
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Computer and related activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Research and development
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Other business activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Public administration and defense; compulsory social securit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Education
        </labl>
      </catgry>
      <catgry>
        <catValu>
          85
        </catValu>
        <labl>
          Health and social work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Sewage and refuse disposal, sanitation and similar activitie
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Activities of membership organizations n.e.c.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Recreational, cultural and sporting activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Other service activities
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Private households with employed persons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Extra-territorial organizations and bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </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="V159" name="SECTORPRV" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="150" EndPos="151" 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 UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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="V160" name="SECTORPRV_D" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="152" EndPos="154" 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 UNITS="REAL" min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Ever-employed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Sector of employment of the previous/last held job [Detailed version]
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
      </catgry>
      <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
----------------------------------
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="V161" name="UNEMPDUR" wgt-var="V112" files="F2" dcml="0" intrvl="contin">
      <location StartPos="155" EndPos="157" width="3" RecSegNo="1"/>
      <labl>
        Unemployment duration in months
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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="V162" name="SRCHACT_01" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="158" EndPos="158" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by registering with government offices/ministries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V163" name="SRCHACT_06" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="159" 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 UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V164" name="SRCHACT_07" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="160" EndPos="160" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by applying directly to the employer
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V165" name="SRCHACT_08" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="161" 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 UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V166" name="SRCHACT_90" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="162" EndPos="162" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job through other activities not elsewhere classified
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </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="V167" name="NOTSRCH_R" wgt-var="V112" files="F2" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="164" 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 UNITS="REAL" min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Inactive individuals aged 10+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </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>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lack of experience/qualifications
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Lack of jobs matching personal skills or occupation
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Lack of jobs with suitable wages
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Considered too young or too old by prospective employers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Race/sex/religion discrimination
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Lack of infrastructure (assets roads/transportations)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Lack of employment services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Lack of social relationships
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Refusal by family
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Do not know effective ways for job searching
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Believed that no suitable job exists
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          No jobs are available
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tired of looking for work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Full time student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Homemaker/housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Others not elsewhere classified reasons
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </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
----------------------
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
----------------------------------
For all inactive individuals who did not provide a reason for not searching for a job, the main activity status was used to fill this variable.]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
