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<codeBook version="1.2.2" ID="JOR_EUS_2014_HD_V1" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Template_project
        </titl>
        <IDNo>
          JOR_EUS_2014_HD_V1
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="ERF" role="Cleaning and harmonizing raw data received from the Statistical Agency">
          Economic Research Forum
        </producer>
        <prodDate date="2016-02">
          2016-02
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 1
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Employment and Unemployment Survey, EUS 2014
        </titl>
        <altTitl>
          EUS 2014
        </altTitl>
        <IDNo>
          JOR_EUS_2014_HD_V1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty>
          Economic Research Forum
        </AuthEnty>
        <AuthEnty affiliation="The Hashemite Kingdom of Jordan">
          Department of Statistics
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          (c) 2016, Economic Research Forum | (c) 2014, Department of Statistics, The Hashemite Kingdom of Jordan
        </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>
          A quarterly survey collected by the Department of Statistics (DOS) of the Hashemite Kingdom of Jordan
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2016-02">
          V1: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination.
        </version>
        <notes>
          <![CDATA[All documentation available for the original survey provided by the Statistical Agency, and for the harmonized datasets produced by the Economic Research Forum, are published, along with a copy of all occupations and economic activities used during the harmonization process. 
However, as far as the datasets are concerned, the Economic Research Forum produces and releases only the harmonized versions in both SPSS and STATA formats.]]>
        </notes>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="ERF">
          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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN</p> 

The Department of Statistics (DOS) carried out four rounds of the 2014 Employment and Unemployment Survey (EUS) during February, May, August and November 2014. The survey rounds covered a total sample of about fifty three thousand households Nation-wide. The sampled households were selected using a stratified multi-stage cluster sampling design. 

It is worthy to mention that the DOS employed new technology in data collection and data processing. Data was collected using electronic questionnaire instead of a hard copy, namely a hand held device (PDA).

The survey main objectives are:

- To identify the demographic, social and economic characteristics of the population and manpower.
- To identify the occupational structure and economic activity of the employed persons, as well as their employment status.
- To identify the reasons behind the desire of the employed persons to search for a new or additional job.
- To measure the economic activity participation rates (the number of economically active population divided by the population of 15+ years old).
- To identify the different characteristics of the unemployed persons.
- To measure unemployment rates (the number of unemployed persons divided by the number of economically active population of 15+ years old) according to the various characteristics of the unemployed, and the changes that might take place in this regard.
- To identify the most important ways and means used by the unemployed persons to get a job, in addition to measuring durations of unemployment for such persons.
- To identify the changes overtime that might take place regarding the above-mentioned variables.

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="2014" event="start" cycle="-"/>
        <collDate date="2014" event="end" cycle="-"/>
        <nation abbr="JOR">
          Jordan
        </nation>
        <geogCover>
          Covering a sample representative on the national level (Kingdom), governorates, and the three Regions (Central, North and South).
        </geogCover>
        <anlyUnit>
          <![CDATA[1- Household/family.
2- Individual/person.]]>
        </anlyUnit>
        <universe>
          The survey covered a national sample of households and all individuals permanently residing in surveyed households.
        </universe>
        <dataKind>
          Sample survey data [ssd]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[Household: Includes 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 job, secondary job and last held job characteristics, wages and incomes, unemployment characteristics and inactivity reason(s).]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="DOS" affiliation="Ministry of Planning">
          Department 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 DEPARTMENT OF STATISTICS OF THE HASHEMITE KINGDOM OF JORDAN</p> 

Survey Frame
=========
The sample of this survey is based on the frame provided by the data of the Population and Housing Census, 2004. The Kingdom was divided into strata, where each city with a population of 100,000 persons or more was considered as a large city.
The total number of these cities is 6. Each governorate (except for the 6 large cities) was divided into rural and urban areas. The rest of the urban areas in each governorate was considered as an independent stratum. The same was applied to rural areas where it was considered as an independent stratum. The total number of strata was 30.

In view of the existing significant variation in the socio-economic characteristics in large cities in particular and in urban in general, each stratum of the large cities and urban strata was divided into four sub-stratum according to the socio- economic characteristics provided by the population and housing census with the purpose of providing homogeneous strata.

The frame excludes the population living in remote areas (most of whom are nomads), In addition to that, the frame does not include collective dwellings, such as hotels, hospitals, work camps, prisons and alike.

Sample Design
==========
The sample of this survey was designed, using the two-stage cluster stratified sampling method. The main sample was designed in 2009 based on the data of the population and housing census 2004 for carrying out household surveys. The sample representative on the Kingdom, rural, urban, regions and governorates levels. The total sample size for each round was 1336 PSUs (clusters). These units were distributed to governorates urban, rural and large cities in each governorate according to the weight of persons and households and according to the variance within each stratum. Slight modifications regarding the number of these units were made to cope with the multiple of 8, the number of clusters for four rounds was 53432.
 
The main sample is consisted of 40 replicates, each replicate is consisted of 167 Primary Sampling Units (PSUs). For the purpose of each round, eight replicates of the main sample were used. The Primary Sampling Units (PSUs) were ordered within each stratum according to geographic characteristics and then according to socio-economic characteristics in order to ensure good spread of the sample. Then, the sample was selected on two stages, in the first stage, The Primary Sampling Units (PSUs) were selected, using the Probability Proportionate to Size with systematic selection procedure. The number of households, in each primary sampling unit (cluster) served as its weight or size. In the second stage, the blocks of the primary sampling units (cluster) which were selected in the first stage have been updated. Then a constant number of households (10 households) was selected, using the random systematic sampling method as final PSUs from each PSU (cluster).

Sampling notes
==========
It is noteworthy that the sample of the present survey does not represent the non-Jordanian population, due to the fact that it is based on households living in conventional dwellings. In other words, it does not cover the collective households living in collective dwellings. Therefore, the non-Jordanian households covered in the present survey are either private households or collective households living in conventional dwellings. In Jordan, it is well known that a large number of non-Jordanian workers live as groups and spend most of their time at workplaces. Hence, it is more unlikely to find them at their residences during daytime (i.e. the time when the data of the survey is collected). Furthermore, most of them live in their workplaces, such as: workshops, sales stores, guard places, or under construction building's sites. Such places are not classified as occupied dwellings for household sampling purposes. Due to all of the above, the coverage of such population would not be complete in household surveys.]]>
        </sampProc>
        <collMode>
          Computer Assisted Personal Interview [capi]
        </collMode>
        <resInstru>
          The questionnaire was designed electronically on the PDA and revised by the DOS technical staff. It was finalized upon completion of the training program. The questionnaire is divided into main topics, each containing a clear and consistent group of questions, and designed in a way that facilitates the electronic data entry and verification. The questionnaire includes the characteristics of household members in addition to the identification information, which reflects the administrative as well as the statistical divisions of the Kingdom.
        </resInstru>
        <sources/>
        <collSitu>
          <![CDATA[The Preparatory Stage 
==============
This stage included a variety of overlapping operations to prepare a work plan and time-table, timely recruitment and training of the survey staff, and distribution of tasks and work areas. This stage also included the preparation of concepts and definitions; finalizations of documents such as the questionnaires, instruction manuals and other related forms; preparation of a system for manual data processing, including the editing and coding systems and manuals; preparation of electronic execution programs and implementation procedures regarding data, verification and debugging for cross-tabulation purposes. 

The supervisory and executive levels of survey staff were selected according to their past experience in censuses and surveys, familiarity with geographic areas, and educational qualification. It is noteworthy that all survey staff were university graduates. 

A classroom-training program for the survey staff was held in the survey headquarters for each round. The program focused on survey objectives, data collection procedures, confidentiality of data, and how to deal with households and overcome difficulties. The program also included a detailed explanation of the questionnaire inputs, concepts and instructions related to data collection and field editing. 

In addition to the above training, further classroom and field practices demonstrated how to fill in the questionnaire. Errors emerging from these applications were detected and explained to the field staff. 

Field Work Stage 
===========
The sample households were visited and relevant data were collected during February, May, August, and November 2014. The fieldwork was organized in a way that ensured complete control, accuracy and consistency of field logistics to obtain high quality data. 
The completed questionnaires were edited daily in the field for completeness and consistency and to make sure that all sample households have been visited.]]>
        </collSitu>
        <cleanOps>
          <![CDATA[Raw Data
=======
A tabulation results plan has been set based on the previous Employment and Unemployment Surveys while the required programs were prepared and tested. 
When all prior data processing steps were completed, the actual survey results were tabulated using an ORACLE package. The tabulations were then thoroughly checked for consistency of data. The final report was then prepared, containing detailed tabulations as well as the methodology of the survey.


Harmonized Data
============
- The SPSS package is used to clean and harmonize the datasets.
- The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency.
- All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization.
- A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables.
- A post-harmonization cleaning process is then conducted on the data.
- Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.]]>
        </cleanOps>
      </dataColl>
      <anlyInfo>
        <respRate>
          <![CDATA[The results of the fieldwork indicated that all sample households were visited. The number of successfully completed interviews was 48436, that is 90.8 percent of the total sample households. 

Among the reasons of un-successful interviews (although three callbacks were made) 1.8 percent of the dwellings were closed at time of the visit. 

The findings also indicate that the response rate is 95.5 percent, based on dividing the number of completed questionnaires by the number of expected completed interviews, that is after excluding the vacant dwellings. 

More information on the distribution of interviews by region, governorate and visit results is available in table (E) in Page 4 of the annual report provided among the disseminated survey materials under a file named "Jordan 2014- Annual report (English).pdf".]]>
        </respRate>
        <EstSmpErr>
          <![CDATA[Sampling errors were calculated for the Refined Activity Rate as well as the Unemployment Rate according to a set of relevant variables. 

More information on the estimates of Sampling Errors (for Economic Activity Rates & Unemployment Rates) is available in the annual report in Appendix 5.1 provided among the disseminated survey materials under a file named "Jordan 2014- Annual report (English).pdf".]]>
        </EstSmpErr>
      </anlyInfo>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[To access the micro data, researchers are required to register on the ERF website and comply with the data access agreement.

The data will be used only for scholarly research, or educational purposes. Users are prohibited from using data acquired from the Economic Research Forum in the pursuit of any commercial or private ventures.]]>
        </confDec>
        <contact affiliation="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 Department of Statistics of The Hashemite Kingdom of Jordan as follows:

OAMDI, 2016. Harmonized Labor Force Surveys (HLFS), http://erf.org.eg/data-portal/. Version 1.0 of Licensed Data Files; EUS 2014 - Department of Statistics (DOS), The Hashemite Kingdom of Jordan. Egypt: Economic Research Forum (ERF).]]>
        </citReq>
        <conditions>
          Licensed datasets, accessible under conditions.
        </conditions>
        <disclaimer>
          The Economic Research Forum and the Department of Statistics in The Hashemite Kingdom of Jordan have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F16" URI="JOR_EUS_2014_HD_V1.Nesstar?Index=0&amp;Name=Jordan14-LFS HH-V1">
    <fileTxt>
      <fileName>
        Jordan14-LFS HH-V1.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The household data file contains generated household-level harmonized variables, subject to availability, covering the following categories:
- File identification and information
- Geographical characteristics
- Household composition
- LFS classification of household members
- Head's and spouse's characteristics
- Dwelling characteristics
- Ownership of durables

In cross-sectional datasets,  the CASESER uniquely identifies the household. 
In panel data, the ROUND and the CASESER variables are required to uniquely identify a certain household, while the HPNLID is used to identify panaled households.]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F17" keyvar="V1576"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          48436
        </caseQnty>
        <varQnty>
          100
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <fileDscr ID="F17" URI="JOR_EUS_2014_HD_V1.Nesstar?Index=1&amp;Name=Jordan14-LFS IND-V1">
    <fileTxt>
      <fileName>
        Jordan14-LFS IND-V1.NSDstat
      </fileName>
      <fileCont>
        <![CDATA[The individual data file contains generated individual-level harmonized variables, subject to availability, enveloped in the following categories:
- File identification and information
- Demographics
- Nationality and immigration
- Education
- Current labor status
- Employment in main job
- Wages and incomes
- Employment in secondary job
- Last held job characteristics
- Unemployment characteristics
- Inactivity reason(s)

In cross-sectional datasets,  both CASESER and PNUM are used to uniquely identify an individual. 
In panel data, the ROUND, CASESER and PNUM are required to uniquely identify a certain individual, while the HPNLID and PPNLID variables are used to identify paneled individuals.]]>
      </fileCont>
      <fileStrc type="relational">
        <recGrp recGrp="F16" keyvar="V1676 V1677"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          216608
        </caseQnty>
        <varQnty>
          49
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="section" varGrp="VG3 VG4 VG5 VG22 VG8 VG9 VG6 VG7">
      <labl>
        Household
      </labl>
    </varGrp>
    <varGrp ID="VG2" type="section" varGrp="VG10 VG11 VG12 VG13 VG14 VG15 VG16 VG17 VG18 VG19 VG20 VG21">
      <labl>
        Individual
      </labl>
    </varGrp>
    <varGrp ID="VG3" type="subject" var="V1572 V1573 V1574 V1575 V1576">
      <labl>
        File identification and information
      </labl>
    </varGrp>
    <varGrp ID="VG4" type="subject" var="V1577 V1578">
      <labl>
        Geographical characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG5" type="subject" var="V1579 V1580 V1581">
      <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="V1594 V1598 V1602 V1603 V1604 V1608 V1612 V1616 V1620 V1624 V1628 V1632 V1636 V1640 V1644 V1648 V1652 V1656 V1660 V1664 V1668">
      <labl>
        Head's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG9" type="subject" var="V1595 V1596 V1597 V1599 V1600 V1601 V1605 V1606 V1607 V1609 V1610 V1611 V1613 V1614 V1615 V1617 V1618 V1619 V1621 V1622 V1623 V1625 V1626 V1627 V1629 V1630 V1631 V1633 V1634 V1635 V1637 V1638 V1639 V1641 V1642 V1643 V1645 V1646 V1647 V1649 V1650 V1651 V1653 V1654 V1655 V1657 V1658 V1659 V1661 V1662 V1663 V1665 V1666 V1667 V1669 V1670 V1671">
      <labl>
        Spouse's characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG10" type="subject" var="V1672 V1673 V1674 V1675 V1676 V1677 V1678">
      <labl>
        File identification and information
      </labl>
    </varGrp>
    <varGrp ID="VG11" type="subject" var="V1679 V1680">
      <labl>
        Geographical characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG12" type="subject" var="V1681 V1682 V1683 V1684 V1685 V1686">
      <labl>
        Demographics
      </labl>
    </varGrp>
    <varGrp ID="VG13" type="subject" var="V1687 V1688">
      <labl>
        Nationality and Immigration
      </labl>
    </varGrp>
    <varGrp ID="VG14" type="subject" var="V1689 V1690 V1691 V1692 V1693 V1694 V1695 V1696">
      <labl>
        Education
      </labl>
    </varGrp>
    <varGrp ID="VG15" type="subject" var="V1697 V1698 V1699">
      <labl>
        Current labor status
      </labl>
    </varGrp>
    <varGrp ID="VG16" type="subject" var="V1700 V1701 V1702 V1703 V1704 V1705 V1706 V1707 V1708 V1709">
      <labl>
        Employment in main job
      </labl>
    </varGrp>
    <varGrp ID="VG17" type="subject" var="V1710 V1711 V1712">
      <labl>
        Wages and incomes
      </labl>
    </varGrp>
    <varGrp ID="VG18" type="subject">
      <labl>
        Employment in secondary job
      </labl>
    </varGrp>
    <varGrp ID="VG19" type="subject">
      <labl>
        Last held job characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG20" type="subject" var="V1713 V1714 V1715 V1716 V1717 V1718 V1719">
      <labl>
        Unemployment characteristics
      </labl>
    </varGrp>
    <varGrp ID="VG21" type="subject" var="V1720">
      <labl>
        Inactivity reason(s)
      </labl>
    </varGrp>
    <varGrp ID="VG22" type="subject" var="V1582 V1583 V1584 V1585 V1586 V1587 V1588 V1589 V1590 V1591 V1592 V1593">
      <labl>
        LFS classification of household members
      </labl>
    </varGrp>
    <var ID="V1572" name="COUNTRY" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </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>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and the individual files and is necessary when concatenating different data files.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1573" name="YEAR" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2014" max="2014"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed.
      </txt>
      <catgry>
        <catValu>
          2014
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and the individual files and is necessary when concatenating cross-sectional data. In the case of panel data, the Panel Identifier should be used to merge the datasets across years.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1574" name="ROUND" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Survey round
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the round during which the household was observed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          11982
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          12106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          12190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          12158
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The data collection of the LFSs might be conducted over several rounds during the survey year. This variable will be then generated in the datasets for which the collection was done over at least 2 rounds to indicate the round number during which each household was observed.
In the case of panel data, the same household ID may have different round numbers indicating different observations of the same household during the survey year.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF or provided in the original]]>
      </notes>
    </var>
    <var ID="V1575" name="DTYPE" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="9" width="1" RecSegNo="1"/>
      <labl>
        Data type
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        This variable should indicate whether the survey data is cross-sectional or panel.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cross-sectional
        </labl>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of this variable should be constant for the same dataset, indicating one type of data (cross-sectional or panel). 
This variable might be useful when combining datasets to identify different types of data before using them for analysis.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF taking the code 1 since the data is cross-sectional]]>
      </notes>
    </var>
    <var ID="V1576" name="CASESER" files="F16" dcml="0" intrvl="contin">
      <location StartPos="10" EndPos="14" width="5" RecSegNo="1"/>
      <labl>
        Unique household identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="48436"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        48436
      </sumStat>
      <sumStat type="mean">
        24218.5
      </sumStat>
      <sumStat type="stdev">
        13982.413
      </sumStat>
      <txt>
        Sequential anonymous household identifier, usually provided in the dataset.
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists both in the household and the individual files and is necessary when merging the two files. When combining different countries or years, it is necessary to use the CASESER variable in combination with the COUNTRY, YEAR and ROUND variables in order to uniquely identify the households. When merging household and individual level files from the same dataset, this variable can be used to link each individual to the right household.


COUNTRY SPECIFIC NOTES
----------------------------------
A household serial is generated by ERF, using the variables Quart, Q101, Q108, Q110, and Q113 to uniquely identify each household.]]>
      </notes>
    </var>
    <var ID="V1577" name="REG" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="15" EndPos="20" width="6" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="400011" max="400034"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Region of residence.
      </txt>
      <catgry>
        <catValu>
          400011
        </catValu>
        <labl>
          Amman
        </labl>
        <catStat type="freq">
          13583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400012
        </catValu>
        <labl>
          Al Balqa
        </labl>
        <catStat type="freq">
          3794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400013
        </catValu>
        <labl>
          Al Zarqa
        </labl>
        <catStat type="freq">
          7109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400014
        </catValu>
        <labl>
          Madaba
        </labl>
        <catStat type="freq">
          1802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400021
        </catValu>
        <labl>
          Irbid
        </labl>
        <catStat type="freq">
          7691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400022
        </catValu>
        <labl>
          Al Mafraq
        </labl>
        <catStat type="freq">
          3160
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400023
        </catValu>
        <labl>
          Jerash
        </labl>
        <catStat type="freq">
          2582
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400024
        </catValu>
        <labl>
          Ajlun
        </labl>
        <catStat type="freq">
          1750
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400031
        </catValu>
        <labl>
          Al Karak
        </labl>
        <catStat type="freq">
          2880
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400032
        </catValu>
        <labl>
          Al Tafela
        </labl>
        <catStat type="freq">
          1436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400033
        </catValu>
        <labl>
          Ma'an
        </labl>
        <catStat type="freq">
          1467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400034
        </catValu>
        <labl>
          Al Aqaba
        </labl>
        <catStat type="freq">
          1182
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
To generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.
This is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1578" name="RURURB" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="21" EndPos="21" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          12538
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          35898
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case the country has refugee camps (as in Palestine), the "refugee camp" category is coded "2".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1579" name="TPNUM" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="22" EndPos="23" width="2" RecSegNo="1"/>
      <labl>
        Total number of household members
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="20"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        20
      </sumStat>
      <sumStat type="mean">
        4.472
      </sumStat>
      <sumStat type="stdev">
        2.277
      </sumStat>
      <txt>
        Total number of household members
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          5149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          6189
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          6014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          7448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          7732
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          6774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          4547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          2489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1288
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          188
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variables should count all household members (males/females), including those reported as head's non-relative (including domestic workers). 
These variables should be constructed by aggregating the data provided on the individual-level. 
In general, summation over all individuals in the household.
TPNUM = FEMNUM + MALNUM


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1580" name="MALNUM" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="24" EndPos="25" width="2" RecSegNo="1"/>
      <labl>
        Total number of males in the household
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        2.29
      </sumStat>
      <sumStat type="stdev">
        1.447
      </sumStat>
      <txt>
        Total number of males in the household
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          3513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          13365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          11754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          10282
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          5938
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          2475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          802
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variables should count all household members (males/females), including those reported as head's non-relative (including domestic workers). 
These variables should be constructed by aggregating the data provided on the individual-level. 
In general, summation over all individuals in the household.
TPNUM = FEMNUM + MALNUM


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1581" name="FEMNUM" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="26" EndPos="27" width="2" RecSegNo="1"/>
      <labl>
        Total number of females in the household
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="13"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        13
      </sumStat>
      <sumStat type="mean">
        2.182
      </sumStat>
      <sumStat type="stdev">
        1.419
      </sumStat>
      <txt>
        Total number of females in the household
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          3367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          14601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          13349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          9040
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          4790
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          2147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          795
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          239
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The variables should count all household members (males/females), including those reported as head's non-relative (including domestic workers). 
These variables should be constructed by aggregating the data provided on the individual-level. 
In general, summation over all individuals in the household.
TPNUM = FEMNUM + MALNUM


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1582" name="MALUNEMP_PW" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="28" EndPos="28" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+ males who have previously worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        0.0625
      </sumStat>
      <sumStat type="stdev">
        0.266
      </sumStat>
      <txt>
        Number of unemployed 15+ males who have previously worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          45671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          202
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older).
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="V1583" name="MALUNEMP_NW" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="29" EndPos="29" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+ males who have never worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        0.0335
      </sumStat>
      <sumStat type="stdev">
        0.198
      </sumStat>
      <txt>
        Number of unemployed 15+ males who have never worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          46966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1333
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older).
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="V1584" name="FEMUNEMP_PW" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="30" EndPos="30" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+females who have previously worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="3"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        3
      </sumStat>
      <sumStat type="mean">
        0.0102
      </sumStat>
      <sumStat type="stdev">
        0.104
      </sumStat>
      <txt>
        Number of unemployed 15+ females who have previously worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          47959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          462
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older).
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="V1585" name="FEMUNEMP_NW" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="31" EndPos="31" width="1" RecSegNo="1"/>
      <labl>
        Number of unemployed 15+females who have never worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="5"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        5
      </sumStat>
      <sumStat type="mean">
        0.0262
      </sumStat>
      <sumStat type="stdev">
        0.17
      </sumStat>
      <txt>
        Number of unemployed 15+ females who have never worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          47237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          1134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older).
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="V1586" name="HUNEMP_PW" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="32" EndPos="32" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ unemployed household members who have previously worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="4"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        4
      </sumStat>
      <sumStat type="mean">
        0.0727
      </sumStat>
      <sumStat type="stdev">
        0.289
      </sumStat>
      <txt>
        <![CDATA[Number of 15+ unemployed household members  who have previously worked]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          45246
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2904
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older).
In the case where no identification can be done between those who have previously worked and those who have never worked before, the household members who are unemployed but reported a previous work experience are identified as "unemployed who have previously worked," and those with no work experience are identified as "never worked before."
These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all unemployed individuals in the household aged 15+ (worked previously and never worked before).
HUNEMP_PW=FEMUNEMP_PW+MALUNEMP_PW 
HUNEMP_NW=FEMUNEMP_NW+MALUNEMP_NW 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1587" name="HUNEMP_NW" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ unemployed household members who have never worked
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6
      </sumStat>
      <sumStat type="mean">
        0.0597
      </sumStat>
      <sumStat type="stdev">
        0.269
      </sumStat>
      <txt>
        Number of 15+ unemployed household members who have never worked
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          45881
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          2264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older).
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="V1588" name="MALINLF" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="34" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ males in the labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="7"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        7
      </sumStat>
      <sumStat type="mean">
        0.896
      </sumStat>
      <sumStat type="stdev">
        0.764
      </sumStat>
      <txt>
        Number of 15+ males in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          13655
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          28675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          4179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older), and 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="V1589" name="FEMINLF" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="35" EndPos="35" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+females in the labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6
      </sumStat>
      <sumStat type="mean">
        0.183
      </sumStat>
      <sumStat type="stdev">
        0.44
      </sumStat>
      <txt>
        Number of 15+ females in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          40460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          7232
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          627
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older), and reported to be either employed or unemployed and seeking a job (active) during the short reference period.

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ in the labor force in the household.
HINLF = FEMINLF + MALINLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1590" name="HINLF" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="37" 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 min="0" max="10"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        10
      </sumStat>
      <sumStat type="mean">
        1.079
      </sumStat>
      <sumStat type="stdev">
        0.889
      </sumStat>
      <txt>
        Number of 15+ household members in the labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          11542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          25705
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          8215
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          2064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          685
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          167
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older), and reported to be either employed or unemployed and seeking a job (active) during the short reference period.

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ in the labor force in the household.
HINLF = FEMINLF + MALINLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1591" name="MALOUTLF" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="38" EndPos="38" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ males out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="6"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        6
      </sumStat>
      <sumStat type="mean">
        0.581
      </sumStat>
      <sumStat type="stdev">
        0.825
      </sumStat>
      <txt>
        Number of 15+ males out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          28497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          13718
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          4587
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          1349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older) and inactive with respect to their relation to the labor force during the short reference period (unemployed and able to work but neither want nor seeking work, student, housewife, homemaker, retired, disabled, old age, etc.).

These variables should be constructed by aggregating the data provided on the individual-level.
In general, summation over all individuals 15+ and out of labor force in the household.
HOUTLF = FEMOUTLF + MALOUTLF 


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1592" name="FEMOUTLF" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Number of 15+ females out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="8"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        8
      </sumStat>
      <sumStat type="mean">
        1.234
      </sumStat>
      <sumStat type="stdev">
        0.895
      </sumStat>
      <txt>
        Number of 15+ females out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          7323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          28401
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          8238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          3300
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older) and 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="V1593" name="HOUTLF" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="40" EndPos="41" width="2" RecSegNo="1"/>
      <labl>
        Number of 15+ household members out of labor force
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="11"/>
      </valrng>
      <universe clusion="I">
        All households
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        11
      </sumStat>
      <sumStat type="mean">
        1.814
      </sumStat>
      <sumStat type="stdev">
        1.368
      </sumStat>
      <txt>
        Number of 15+ household members out of labor force
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          5723
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          19672
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          10312
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          6537
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          3871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          1657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          123
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
These variables should be generated for household members who are in the working age population (aged 15 years or older) and 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="V1594" name="AGEHD" files="F16" dcml="0" intrvl="contin">
      <location StartPos="42" EndPos="43" width="2" RecSegNo="1"/>
      <labl>
        Age of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="16" max="97"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        16
      </sumStat>
      <sumStat type="max">
        97
      </sumStat>
      <sumStat type="mean">
        47.408
      </sumStat>
      <sumStat type="stdev">
        14.753
      </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
----------------------------------
In few cases, large age differences were detected between the head's, the spouse's and the son's/daughter's ages.]]>
      </notes>
    </var>
    <var ID="V1595" name="AGESP_1" files="F16" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="45" width="2" RecSegNo="1"/>
      <labl>
        Age of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="15" max="97"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <sumStat type="min">
        15
      </sumStat>
      <sumStat type="max">
        97
      </sumStat>
      <sumStat type="mean">
        40.106
      </sumStat>
      <sumStat type="stdev">
        12.692
      </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
----------------------------------
In few cases, large age differences were detected between the head's, the spouse's and the son's/daughter's ages.]]>
      </notes>
    </var>
    <var ID="V1596" name="AGESP_2" files="F16" dcml="0" intrvl="contin">
      <location StartPos="46" EndPos="47" width="2" RecSegNo="1"/>
      <labl>
        Age of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="19" max="65"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <sumStat type="min">
        19
      </sumStat>
      <sumStat type="max">
        65
      </sumStat>
      <sumStat type="mean">
        41.855
      </sumStat>
      <sumStat type="stdev">
        13.118
      </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
----------------------------------
In few cases, large age differences were detected between the head's, the spouse's and the son's/daughter's ages.]]>
      </notes>
    </var>
    <var ID="V1597" name="AGESP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Age of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="27" max="27"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <sumStat type="min">
        27
      </sumStat>
      <sumStat type="max">
        27
      </sumStat>
      <sumStat type="mean">
        27
      </sumStat>
      <sumStat type="stdev">
        0
      </sumStat>
      <txt>
        Age of the third spouse in completed years.
      </txt>
      <catgry>
        <catValu>
          27
        </catValu>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In some datasets, the age may be calculated at a certain reference date (e.g., 31 December of the year preceding the survey). When the original dataset has only age categories, age is calculated as the midpoint of the range provided. In some datasets, AGE is top coded by the data provider (e.g., a value of 95 represents 95 years of age or over).
In some surveys, the date of birth is reported instead of reporting the age value. In such cases, it should be computed based on the date of birth and the survey year.

When the original dataset has only age categories, age is calculated as the midpoint of the range provided.



COUNTRY SPECIFIC NOTES
----------------------------------
In few cases, large age differences were detected between the head's, the spouse's and the son's/daughter's ages.]]>
      </notes>
    </var>
    <var ID="V1598" name="SEXHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="50" width="1" RecSegNo="1"/>
      <labl>
        Gender of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Gender of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          41737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          6699
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1599" name="SEXSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="51" EndPos="51" width="1" RecSegNo="1"/>
      <labl>
        Gender of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <txt>
        Gender of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          37576
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10812
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1600" name="SEXSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="52" width="1" RecSegNo="1"/>
      <labl>
        Gender of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <txt>
        <![CDATA[Gender of the second  spouse.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48360
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1601" name="SEXSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="53" EndPos="53" width="1" RecSegNo="1"/>
      <labl>
        Gender of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <txt>
        Gender of the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1602" name="MARTHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        Marital status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          2091
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          40002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          540
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          5727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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
----------------------------------
The "married polygamous" category was generated for the head of the household only, if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1603" name="MARTHD_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        Marital status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Legal administrative status concerning marriage of the head (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          2091
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          40002
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          530
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          5727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was generated for the head of the household only, if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1604" name="NATHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="60" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Ethnicity or nationality of the head.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          4460
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          43976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, this variable may be indicated by country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1605" name="NATSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <txt>
        Ethnicity or nationality of the first spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          1933
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          35691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10812
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, this variable may be indicated by country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1606" name="NATSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <txt>
        Ethnicity or nationality of the second spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48360
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, this variable may be indicated by country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1607" name="NATSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="66" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <txt>
        Ethnicity or nationality of the third spouse.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, this variable may be indicated by country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1608" name="NATHD_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="69" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All Heads
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Ethnicity or nationality (detailed version of coding) of the head.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Aland Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          43976
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Curacao
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          Reunion
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-Barthelemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          1801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          1709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          200
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1609" name="NATSP_1_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="72" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <txt>
        Ethnicity or nationality (detailed version of coding) of the first spouse.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Aland Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          35691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Curacao
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          Reunion
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-Barthelemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          1297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          269
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10812
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1610" name="NATSP_2_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="75" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <txt>
        Ethnicity or nationality (detailed version of coding) of the second spouse.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Aland Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Curacao
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          Reunion
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-Barthelemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48360
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1611" name="NATSP_3_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="78" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All Spouses
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <txt>
        Ethnicity or nationality (detailed version of coding) of the third spouse.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Aland Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Curacao
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          Reunion
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-Barthelemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1612" name="LITHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        48436
      </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>
        <catStat type="freq">
          5551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          42885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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="V1613" name="LITSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the first spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <txt>
        This variable indicates whether the first spouse is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          3840
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          33778
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10812
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1614" name="LITSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="84" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <txt>
        This variable indicates whether the second spouse is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48360
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1615" name="LITSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="86" width="2" RecSegNo="1"/>
      <labl>
        Literacy status of the third spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <txt>
        This variable indicates whether the third spouse is literate (can read and write) or not.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1616" name="EDUHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="88" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained by the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          8097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          25203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          5793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          3265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          5119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
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
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1617" name="EDUSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="90" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <txt>
        Highest level of education attained by the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          5224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          18467
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          4488
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          4104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          5016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10812
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is generated based on the highest educational attainment variable.
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education.
If there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. 
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended minus one (1).
This is country specific - not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the individual never attended school; it means that the individual did not complete the first level of education (elementary). 
"None" corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. 
If there is no question on the highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.


COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1618" name="EDUSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="92" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <txt>
        Highest level of education attained by the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48360
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is generated based on the highest educational attainment variable.
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education.
If there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. 
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended minus one (1).
This is country specific - not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the individual never attended school; it means that the individual did not complete the first level of education (elementary). 
"None" corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. 
If there is no question on the highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.


COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1619" name="EDUSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="93" EndPos="94" width="2" RecSegNo="1"/>
      <labl>
        Educational level of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <txt>
        Highest level of education attained by the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is generated based on the highest educational attainment variable.
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education.
If there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. 
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended minus one (1).
This is country specific - not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the individual never attended school; it means that the individual did not complete the first level of education (elementary). 
"None" corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. 
If there is no question on the highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.


COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1620" name="EDUHD_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="95" EndPos="97" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        48436
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          5551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          2546
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          7006
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          11370
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          6827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          5610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          3265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          5119
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          264
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1621" name="EDUSP_1_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="98" EndPos="100" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the first spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          3840
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          1384
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          4536
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          6884
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          7047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          4485
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          4104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          5016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10812
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1622" name="EDUSP_2_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="103" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the second spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48360
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1623" name="EDUSP_3_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="104" EndPos="106" width="3" RecSegNo="1"/>
      <labl>
        Educational level of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding) by the third spouse.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1624" name="MASHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="107" EndPos="108" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        48436
      </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>
        <catStat type="freq">
          27355
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          1263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          6395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          3848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          9278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 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
----------------------------------
For the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15 to 18).]]>
      </notes>
    </var>
    <var ID="V1625" name="MASSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="109" EndPos="110" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          3794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          520
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          32081
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10812
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 Unlike LFS, the main distinction in MAS is between "employed" and "not employed."
- "Employed": refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). 
- "Not Employed": The rationale is that the individuals do not generally spend their time "being unemployed," but use the unemployment time to participate in other activities (e.g., attending school or being a housewife). Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity. In these cases, the individuals will be assigned their own category among the "Not Employed."
Accordingly, "Not Employed" is classified into:
 - Unemployed - individuals who are not employed comprise all who are "not in employment" but "currently available to take up employment" and carry out "activities to 


COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15 to 18).]]>
      </notes>
    </var>
    <var ID="V1626" name="MASSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="111" EndPos="112" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48360
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 Unlike LFS, the main distinction in MAS is between "employed" and "not employed."
- "Employed": refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). 
- "Not Employed": The rationale is that the individuals do not generally spend their time "being unemployed," but use the unemployment time to participate in other activities (e.g., attending school or being a housewife). Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity. In these cases, the individuals will be assigned their own category among the "Not Employed."
Accordingly, "Not Employed" is classified into:
 - Unemployed - individuals who are not employed comprise all who are "not in employment" but "currently available to take up employment" and carry out "activities to 


COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15 to 18).]]>
      </notes>
    </var>
    <var ID="V1627" name="MASSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="113" EndPos="114" width="2" RecSegNo="1"/>
      <labl>
        Main activity status of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <txt>
        Main activity status of the third spouse during the survey period.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 Unlike LFS, the main distinction in MAS is between "employed" and "not employed."
- "Employed": refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). 
- "Not Employed": The rationale is that the individuals do not generally spend their time "being unemployed," but use the unemployment time to participate in other activities (e.g., attending school or being a housewife). Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity. In these cases, the individuals will be assigned their own category among the "Not Employed."
Accordingly, "Not Employed" is classified into:
 - Unemployed - individuals who are not employed comprise all who are "not in employment" but "currently available to take up employment" and carry out "activities to 


COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15 to 18).]]>
      </notes>
    </var>
    <var ID="V1628" name="MASHD_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="115" EndPos="117" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Heads aged 15+
      </universe>
      <sumStat type="vald">
        48436
      </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>
        <catStat type="freq">
          26944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          266
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          1208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          6395
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          3848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
        <catStat type="freq">
          528
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          8498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Among the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.

Similarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.

The code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he/she is still paid/earn income.

The reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).
 
Discouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and/or were met with lack of success when applying.

Family responsibilities includes taking caring for children, the incapacitated or elderly.


COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15 to 18).]]>
      </notes>
    </var>
    <var ID="V1629" name="MASSP_1_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="118" EndPos="120" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        37624
      </sumStat>
      <sumStat type="invd">
        10812
      </sumStat>
      <txt>
        Main activity status of the first spouse during the survey period (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          3469
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          32081
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          150
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          111
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
        <catStat type="freq">
          803
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          10812
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Among the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.

Similarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.

The code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he/she is still paid/earn income.

The reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).
 
Discouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and/or were met with lack of success when applying.

Family responsibilities includes taking caring for children, the incapacitated or elderly.



COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15 to 18).]]>
      </notes>
    </var>
    <var ID="V1630" name="MASSP_2_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="123" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        76
      </sumStat>
      <sumStat type="invd">
        48360
      </sumStat>
      <txt>
        Main activity status of the second spouse during the survey period (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48360
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Among the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.

Similarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.

The code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he/she is still paid/earn income.

The reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).
 
Discouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and/or were met with lack of success when applying.

Family responsibilities includes taking caring for children, the incapacitated or elderly.



COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15 to 18).]]>
      </notes>
    </var>
    <var ID="V1631" name="MASSP_3_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="126" width="3" RecSegNo="1"/>
      <labl>
        Main activity status of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Spouses aged 15+
      </universe>
      <sumStat type="vald">
        2
      </sumStat>
      <sumStat type="invd">
        48434
      </sumStat>
      <txt>
        Main activity status of the third spouse during the survey period (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48434
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Among the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.

Similarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.

The code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he/she is still paid/earn income.

The reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).
 
Discouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and/or were met with lack of success when applying.

Family responsibilities includes taking caring for children, the incapacitated or elderly.



COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ heads and spouses reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ heads and spouses who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15 to 18).]]>
      </notes>
    </var>
    <var ID="V1632" name="EMPSHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="127" EndPos="128" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        27355
      </sumStat>
      <sumStat type="invd">
        21081
      </sumStat>
      <txt>
        Detailed description of the employment status of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          22507
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          1600
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          3168
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          76
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          21081
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Definitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.
- Employee includes anyone who works for a public or private employer and whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.
- Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.
- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period (e.g., freelancer, individual who gives private lessons or apprentices without payment).
- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.
- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.
- Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the work status (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1633" name="EMPSSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="130" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        3794
      </sumStat>
      <sumStat type="invd">
        44642
      </sumStat>
      <txt>
        Detailed description of the employment status of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          3657
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44642
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Definitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.
- Employee includes anyone who works for a public or private employer and whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.
- Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.
- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period (e.g., freelancer, individual who gives private lessons or apprentices without payment).
- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.
- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.
- Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the work status (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1634" name="EMPSSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="131" EndPos="132" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        48428
      </sumStat>
      <txt>
        Detailed description of the employment status of the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Definitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.
- Employee includes anyone who works for a public or private employer and whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.
- Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.
- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period (e.g., freelancer, individual who gives private lessons or apprentices without payment).
- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.
- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.
- Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the work status (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1635" name="EMPSSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="133" EndPos="134" width="2" RecSegNo="1"/>
      <labl>
        Status of employment of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Detailed description of the employment status of the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Definitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.
- Employee includes anyone who works for a public or private employer and whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.
- Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.
- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period (e.g., freelancer, individual who gives private lessons or apprentices without payment).
- Members of producers' cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.
- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.
- Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the work status (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1636" name="OCCHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="135" EndPos="137" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        27355
      </sumStat>
      <sumStat type="invd">
        21081
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the head.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          134
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          3896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          1583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          1321
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          8892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          5086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          4014
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          1658
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          21081
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1637" name="OCCSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="138" EndPos="140" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        3794
      </sumStat>
      <sumStat type="invd">
        44642
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the first spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          2336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44642
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1638" name="OCCSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="141" EndPos="143" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        48428
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the second spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1639" name="OCCSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="144" EndPos="146" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Standardized occupation classification for the main job of the third spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1640" name="OCCHD_ISCO08_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="147" EndPos="150" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the head [ISCO 2008-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        27355
      </sumStat>
      <sumStat type="invd">
        21081
      </sumStat>
      <txt>
        Occupation classification for the main job of the head, following the 3-digits International Standard Classification of Occupations for the year 2008 (ISCO-08).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Non-commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Armed forces occupations, other ranks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Managing directors and chief executives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Business services and administration managers
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Sales, marketing and development managers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Production managers in agriculture, forestry and fisheries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Manufacturing, mining, construction, and distribution manage
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Information and communications technology service managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Professional services managers
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Hotel and restaurant managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Retail and wholesale trade managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Other services managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physical and earth science professionals
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, actuaries and statisticians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          66
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Engineering professionals (excluding electrotechnology)
        </labl>
        <catStat type="freq">
          190
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Electrotechnology engineers
        </labl>
        <catStat type="freq">
          74
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Architects, planners, surveyors and designers
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Medical doctors
        </labl>
        <catStat type="freq">
          143
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Traditional and complementary medicine professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Paramedical practitioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Veterinarians
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Other health professionals
        </labl>
        <catStat type="freq">
          105
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          University and higher education teachers
        </labl>
        <catStat type="freq">
          148
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Vocational education teachers
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Secondary education teachers
        </labl>
        <catStat type="freq">
          562
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Primary school and early childhood teachers
        </labl>
        <catStat type="freq">
          446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          58
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Finance professionals
        </labl>
        <catStat type="freq">
          518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Administration professionals
        </labl>
        <catStat type="freq">
          997
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Sales, marketing and public relations professionals
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Software and applications developers and analysts
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Database and network professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          173
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Librarians, archivists and curators
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Social and religious professionals
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Authors, journalists and linguists
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Creative and performing artists
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Mining, manufacturing and construction supervisors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Process control technicians
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Medical and pharmaceutical technicians
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Traditional and complementary medicine associate professiona
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Veterinary technicians and assistants
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Other health associate professionals
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Financial and mathematical associate professionals
        </labl>
        <catStat type="freq">
          208
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Sales and purchasing agents and brokers
        </labl>
        <catStat type="freq">
          67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Business services agents
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Administrative and specialized secretaries
        </labl>
        <catStat type="freq">
          345
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Regulatory government associate professionals
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Legal, social and religious associate professionals
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Sports and fitness workers
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Artistic, cultural and culinary associate professionals
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Information and communications technology operations and use
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Telecommunications and broadcasting technicians
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          General office clerks
        </labl>
        <catStat type="freq">
          816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Secretaries (general)
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Keyboard operators
        </labl>
        <catStat type="freq">
          51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Tellers, money collectors and related clerks
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information workers
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          98
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          103
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Other clerical support workers
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants, conductors and guides
        </labl>
        <catStat type="freq">
          35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Cooks
        </labl>
        <catStat type="freq">
          377
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Waiters and bartenders
        </labl>
        <catStat type="freq">
          77
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Hairdressers, beauticians and related workers
        </labl>
        <catStat type="freq">
          144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Building and housekeeping supervisors
        </labl>
        <catStat type="freq">
          121
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Street and market salespersons
        </labl>
        <catStat type="freq">
          256
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons
        </labl>
        <catStat type="freq">
          2686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Cashiers and ticket clerks
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Other sales workers
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Child care workers and teachers' aides
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Personal care workers in health services
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          5080
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Animal producers
        </labl>
        <catStat type="freq">
          57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Mixed crop and animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Subsistence crop farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          Subsistence livestock farmers
        </labl>
        <catStat type="freq">
          163
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          Subsistence mixed crop and livestock farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Subsistence fishers, hunters, trappers and gatherers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          1320
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          525
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          427
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Sheet and structural metal workers, molders and welders, and
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, toolmakers and related trades workers
        </labl>
        <catStat type="freq">
          434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and repairers
        </labl>
        <catStat type="freq">
          763
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Handicraft workers
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Printing trades workers
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Electrical equipment installers and repairers
        </labl>
        <catStat type="freq">
          601
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Electronics and telecommunications installers and repairers
        </labl>
        <catStat type="freq">
          36
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          308
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          314
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Garment and related trades workers
        </labl>
        <catStat type="freq">
          276
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Other craft and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining and mineral processing plant operators
        </labl>
        <catStat type="freq">
          175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal processing and finishing plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Chemical and photographic products plant and machine operato
        </labl>
        <catStat type="freq">
          62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Rubber, plastic and paper products machine operators
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Textile, fur and leather products machine operators
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Wood processing and papermaking plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Other stationary plant and machine operators
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive engine drivers and related workers
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Car, van and motorcycle drivers
        </labl>
        <catStat type="freq">
          2523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Heavy truck and bus drivers
        </labl>
        <catStat type="freq">
          743
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Mobile plant operators
        </labl>
        <catStat type="freq">
          262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Domestic, hotel and office cleaners and helpers
        </labl>
        <catStat type="freq">
          602
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Vehicle, window, laundry and other hand cleaning workers
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, forestry and fishery laborers
        </labl>
        <catStat type="freq">
          186
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport and storage laborers
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Food preparation assistants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Street and related service workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Street vendors (excluding food)
        </labl>
        <catStat type="freq">
          102
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl>
          Refuse workers
        </labl>
        <catStat type="freq">
          231
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl>
          Other elementary workers
        </labl>
        <catStat type="freq">
          357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          21081
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1641" name="OCCSP_1_ISCO08_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="151" EndPos="154" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the first spouse [ISCO 2008-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        3794
      </sumStat>
      <sumStat type="invd">
        44642
      </sumStat>
      <txt>
        Occupation classification for the main job of the first spouse, following the 3-digits International Standard Classification of Occupations for the year 2008 (ISCO-08).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Non-commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Armed forces occupations, other ranks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Managing directors and chief executives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Business services and administration managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Sales, marketing and development managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Production managers in agriculture, forestry and fisheries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Manufacturing, mining, construction, and distribution manage
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Information and communications technology service managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Professional services managers
        </labl>
        <catStat type="freq">
          84
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Hotel and restaurant managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Retail and wholesale trade managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Other services managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physical and earth science professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, actuaries and statisticians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Engineering professionals (excluding electrotechnology)
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Electrotechnology engineers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Architects, planners, surveyors and designers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Medical doctors
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Traditional and complementary medicine professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Paramedical practitioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Veterinarians
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Other health professionals
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          University and higher education teachers
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Vocational education teachers
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Secondary education teachers
        </labl>
        <catStat type="freq">
          617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Primary school and early childhood teachers
        </labl>
        <catStat type="freq">
          998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Finance professionals
        </labl>
        <catStat type="freq">
          73
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Administration professionals
        </labl>
        <catStat type="freq">
          224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Sales, marketing and public relations professionals
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Software and applications developers and analysts
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Database and network professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Librarians, archivists and curators
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Social and religious professionals
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Authors, journalists and linguists
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Creative and performing artists
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Mining, manufacturing and construction supervisors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Process control technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Medical and pharmaceutical technicians
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          222
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Traditional and complementary medicine associate professiona
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Veterinary technicians and assistants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Other health associate professionals
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Financial and mathematical associate professionals
        </labl>
        <catStat type="freq">
          72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Sales and purchasing agents and brokers
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Business services agents
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Administrative and specialized secretaries
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Regulatory government associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Legal, social and religious associate professionals
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Sports and fitness workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Artistic, cultural and culinary associate professionals
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Information and communications technology operations and use
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Telecommunications and broadcasting technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          General office clerks
        </labl>
        <catStat type="freq">
          161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Secretaries (general)
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Keyboard operators
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Tellers, money collectors and related clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information workers
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Other clerical support workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants, conductors and guides
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Cooks
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Waiters and bartenders
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Hairdressers, beauticians and related workers
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Building and housekeeping supervisors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Street and market salespersons
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons
        </labl>
        <catStat type="freq">
          70
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Cashiers and ticket clerks
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Other sales workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Child care workers and teachers' aides
        </labl>
        <catStat type="freq">
          37
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Personal care workers in health services
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          65
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Mixed crop and animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Subsistence crop farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          Subsistence livestock farmers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          Subsistence mixed crop and livestock farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Subsistence fishers, hunters, trappers and gatherers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Sheet and structural metal workers, molders and welders, and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, toolmakers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Handicraft workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Printing trades workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Electrical equipment installers and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Electronics and telecommunications installers and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Garment and related trades workers
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Other craft and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining and mineral processing plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal processing and finishing plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Chemical and photographic products plant and machine operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Rubber, plastic and paper products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Textile, fur and leather products machine operators
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Wood processing and papermaking plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Other stationary plant and machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Car, van and motorcycle drivers
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Heavy truck and bus drivers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Mobile plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Domestic, hotel and office cleaners and helpers
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Vehicle, window, laundry and other hand cleaning workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, forestry and fishery laborers
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport and storage laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Food preparation assistants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Street and related service workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Street vendors (excluding food)
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl>
          Refuse workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl>
          Other elementary workers
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44642
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1642" name="OCCSP_2_ISCO08_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="155" EndPos="158" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the second spouse [ISCO 2008-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        48428
      </sumStat>
      <txt>
        Occupation classification for the main job of the second spouse, following the 3-digits International Standard Classification of Occupations for the year 2008 (ISCO-08).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Non-commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Armed forces occupations, other ranks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Managing directors and chief executives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Business services and administration managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Sales, marketing and development managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Production managers in agriculture, forestry and fisheries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Manufacturing, mining, construction, and distribution manage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Information and communications technology service managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Professional services managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Hotel and restaurant managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Retail and wholesale trade managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Other services managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physical and earth science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, actuaries and statisticians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Engineering professionals (excluding electrotechnology)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Electrotechnology engineers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Architects, planners, surveyors and designers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Medical doctors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Traditional and complementary medicine professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Paramedical practitioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Veterinarians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Other health professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          University and higher education teachers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Vocational education teachers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Secondary education teachers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Primary school and early childhood teachers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Finance professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Administration professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Sales, marketing and public relations professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Software and applications developers and analysts
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Database and network professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Librarians, archivists and curators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Social and religious professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Authors, journalists and linguists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Creative and performing artists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Mining, manufacturing and construction supervisors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Process control technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Medical and pharmaceutical technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Traditional and complementary medicine associate professiona
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Veterinary technicians and assistants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Other health associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Financial and mathematical associate professionals
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Sales and purchasing agents and brokers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Business services agents
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Administrative and specialized secretaries
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Regulatory government associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Legal, social and religious associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Sports and fitness workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Artistic, cultural and culinary associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Information and communications technology operations and use
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Telecommunications and broadcasting technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          General office clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Secretaries (general)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Keyboard operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Tellers, money collectors and related clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Other clerical support workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants, conductors and guides
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Cooks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Waiters and bartenders
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Hairdressers, beauticians and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Building and housekeeping supervisors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Street and market salespersons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Cashiers and ticket clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Other sales workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Child care workers and teachers' aides
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Personal care workers in health services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Mixed crop and animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Subsistence crop farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          Subsistence livestock farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          Subsistence mixed crop and livestock farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Subsistence fishers, hunters, trappers and gatherers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Sheet and structural metal workers, molders and welders, and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, toolmakers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Handicraft workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Printing trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Electrical equipment installers and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Electronics and telecommunications installers and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Garment and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Other craft and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining and mineral processing plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal processing and finishing plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Chemical and photographic products plant and machine operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Rubber, plastic and paper products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Textile, fur and leather products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Wood processing and papermaking plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Other stationary plant and machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Car, van and motorcycle drivers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Heavy truck and bus drivers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Mobile plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Domestic, hotel and office cleaners and helpers
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Vehicle, window, laundry and other hand cleaning workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, forestry and fishery laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport and storage laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Food preparation assistants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Street and related service workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Street vendors (excluding food)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl>
          Refuse workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl>
          Other elementary workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1643" name="OCCSP_3_ISCO08_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="162" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job of the third spouse [ISCO 2008-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Occupation classification for the main job of the third spouse, following the 3-digits International Standard Classification of Occupations for the year 2008 (ISCO-08).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Non-commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Armed forces occupations, other ranks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Managing directors and chief executives
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Business services and administration managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Sales, marketing and development managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Production managers in agriculture, forestry and fisheries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Manufacturing, mining, construction, and distribution manage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Information and communications technology service managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Professional services managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Hotel and restaurant managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Retail and wholesale trade managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Other services managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physical and earth science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, actuaries and statisticians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Engineering professionals (excluding electrotechnology)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Electrotechnology engineers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Architects, planners, surveyors and designers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Medical doctors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Traditional and complementary medicine professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Paramedical practitioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Veterinarians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Other health professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          University and higher education teachers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Vocational education teachers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Secondary education teachers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Primary school and early childhood teachers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Finance professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Administration professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Sales, marketing and public relations professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Software and applications developers and analysts
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Database and network professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Librarians, archivists and curators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Social and religious professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Authors, journalists and linguists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Creative and performing artists
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Mining, manufacturing and construction supervisors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Process control technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Medical and pharmaceutical technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Traditional and complementary medicine associate professiona
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Veterinary technicians and assistants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Other health associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Financial and mathematical associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Sales and purchasing agents and brokers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Business services agents
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Administrative and specialized secretaries
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Regulatory government associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Legal, social and religious associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Sports and fitness workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Artistic, cultural and culinary associate professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Information and communications technology operations and use
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Telecommunications and broadcasting technicians
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          General office clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Secretaries (general)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Keyboard operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Tellers, money collectors and related clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Other clerical support workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants, conductors and guides
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Cooks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Waiters and bartenders
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Hairdressers, beauticians and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Building and housekeeping supervisors
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Street and market salespersons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Cashiers and ticket clerks
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Other sales workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Child care workers and teachers' aides
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Personal care workers in health services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Mixed crop and animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Subsistence crop farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          Subsistence livestock farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          Subsistence mixed crop and livestock farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Subsistence fishers, hunters, trappers and gatherers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Sheet and structural metal workers, molders and welders, and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, toolmakers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Handicraft workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Printing trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Electrical equipment installers and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Electronics and telecommunications installers and repairers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Garment and related trades workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Other craft and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining and mineral processing plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal processing and finishing plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Chemical and photographic products plant and machine operato
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Rubber, plastic and paper products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Textile, fur and leather products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Wood processing and papermaking plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Other stationary plant and machine operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive engine drivers and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Car, van and motorcycle drivers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Heavy truck and bus drivers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Mobile plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Domestic, hotel and office cleaners and helpers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Vehicle, window, laundry and other hand cleaning workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, forestry and fishery laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport and storage laborers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Food preparation assistants
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Street and related service workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Street vendors (excluding food)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl>
          Refuse workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl>
          Other elementary workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1644" name="INDHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="165" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        27355
      </sumStat>
      <sumStat type="invd">
        21081
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the head.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          1072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          381
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          2740
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          280
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          2670
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          4201
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          2584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          678
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          240
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          1018
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          7343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          2041
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          1051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          21081
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.
The category "Wholesale and retail trade" includes the repair activities of motor vehicles and motorcycles.
The category "Real estate, administrative, professional and support service activities" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.

COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1645" name="INDSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="166" EndPos="168" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        3794
      </sumStat>
      <sumStat type="invd">
        44642
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the first spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          2031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          92
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44642
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.
The category "Wholesale and retail trade" includes the repair activities of motor vehicles and motorcycles.
The category "Real estate, administrative, professional and support service activities" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1646" name="INDSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="169" EndPos="171" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        48428
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the second spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.
The category "Wholesale and retail trade" includes the repair activities of motor vehicles and motorcycles.
The category "Real estate, administrative, professional and support service activities" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1647" name="INDSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="172" EndPos="174" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Standardized economic activity classification of the main job of the third spouse.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.
The category "Wholesale and retail trade" includes the repair activities of motor vehicles and motorcycles.
The category "Real estate, administrative, professional and support service activities" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1648" name="INDHD_ISIC4_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="175" EndPos="178" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification for the main job of the head [ISIC Rev.4-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        27355
      </sumStat>
      <sumStat type="invd">
        21081
      </sumStat>
      <txt>
        Economic activity classification for the main job of the head, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of non-perennial crops
        </labl>
        <catStat type="freq">
          591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Growing of perennial crops
        </labl>
        <catStat type="freq">
          145
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Plant propagation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Animal production
        </labl>
        <catStat type="freq">
          329
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mixed farming
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Support activities to agriculture and post-harvest crop acti
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Hunting, trapping and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Silviculture and other forestry activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Logging
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Gathering of non-wood forest products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Support services to forestry
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Aquaculture
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mining of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Mining of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Extraction of crude petroleum
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Extraction of natural gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Mining of non-ferrous metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Support activities for petroleum and natural gas extraction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Support activities for other mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Processing and preserving of meat
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Processing and preserving of fish, crustaceans and molluscs
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Processing and preserving of fruit and vegetables
        </labl>
        <catStat type="freq">
          32
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Manufacture of vegetable and animal oils and fats
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Manufacture of prepared animal feeds
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          31
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Manufacture of knitted and crocheted apparel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Manufacture of basic chemicals, fertilizers and nitrogen com
        </labl>
        <catStat type="freq">
          133
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of pharmaceuticals, medicinal chemical and botan
        </labl>
        <catStat type="freq">
          80
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          238
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          100
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of basic precious and other non-ferrous metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          338
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of weapons and ammunition
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metalworking
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of electronic components and boards
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Manufacture of computers and peripheral equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Manufacture of communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Manufacture of consumer electronics
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Manufacture of measuring, testing, navigating and control eq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Manufacture of irradiation, electromedical and electrotherap
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Manufacture of magnetic and optical media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of electric motors, generators, transformers and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of batteries and accumulators
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Manufacture of wiring and wiring devices
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Manufacture of electric lighting equipment
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Manufacture of domestic appliances
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Manufacture of other electrical equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of general-purpose machinery
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Manufacture of special-purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Building of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Manufacture of railway locomotives and rolling stock
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Manufacture of air and spacecraft and related machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Manufacture of military fighting vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of jewellery, bijouterie and related articles
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of musical instruments
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of sports goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Manufacture of games and toys
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Manufacture of medical and dental instruments and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Other manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Repair of fabricated metal products, machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Installation of industrial machinery and equipment
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Electric power generation, transmission and distribution
        </labl>
        <catStat type="freq">
          212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Water collection, treatment and supply
        </labl>
        <catStat type="freq">
          55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Sewerage
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Waste collection
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Waste treatment and disposal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Materials recovery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Remediation activities and other waste management services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Construction of buildings
        </labl>
        <catStat type="freq">
          1566
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Construction of roads and railways
        </labl>
        <catStat type="freq">
          109
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Construction of utility projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Construction of other civil engineering projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Demolition and site preparation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Electrical, plumbing and other construction installation act
        </labl>
        <catStat type="freq">
          472
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          Building completion and finishing
        </labl>
        <catStat type="freq">
          523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Other specialized construction activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          680
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Wholesale of agricultural raw materials and live animals
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          Wholesale of food, beverages and tobacco
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Other specialized wholesale
        </labl>
        <catStat type="freq">
          164
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          Non-specialized wholesale trade
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          Retail sale in non-specialized stores
        </labl>
        <catStat type="freq">
          808
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          440
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          Retail sale of automotive fuel in specialized stores
        </labl>
        <catStat type="freq">
          81
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Retail sale of information and communications equipment in s
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          Retail sale of other household equipment in specialized stor
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          Retail sale of cultural and recreation goods in specialized
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          Retail sale of other goods in specialized stores
        </labl>
        <catStat type="freq">
          836
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Retail sale via stalls and markets
        </labl>
        <catStat type="freq">
          184
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          Retail trade not in stores, stalls or markets
        </labl>
        <catStat type="freq">
          195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          2166
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          Transport via pipeline
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Passenger air transport
        </labl>
        <catStat type="freq">
          86
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Freight air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Warehousing and storage
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Support activities for transportation
        </labl>
        <catStat type="freq">
          197
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Postal activities
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Courier activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Short term accommodation activities
        </labl>
        <catStat type="freq">
          183
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Camping grounds, recreational vehicle parks and trailer park
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Other accommodation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Restaurants and mobile food service activities
        </labl>
        <catStat type="freq">
          444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Event catering and other food service activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          Beverage serving activities
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          Publishing of books, periodicals and other publishing activi
        </labl>
        <catStat type="freq">
          39
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          Software publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Motion picture, video and television program activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          Sound recording and music publishing activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Radio broadcasting
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Television programming and broadcasting activities
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Wired telecommunications activities
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Wireless telecommunications activities
        </labl>
        <catStat type="freq">
          61
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Satellite telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Other telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Computer programming, consultancy and related activities
        </labl>
        <catStat type="freq">
          93
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Data processing, hosting and related activities; web portals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          Other information service activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          263
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Activities of holding companies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Trusts, funds and similar financial entities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          Other financial service activities, except insurance and pen
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Insurance
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Reinsurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl>
          Pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          Activities auxiliary to financial service activities, except
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Fund management activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          149
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          691
        </catValu>
        <labl>
          Legal activities
        </labl>
        <catStat type="freq">
          122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          692
        </catValu>
        <labl>
          Accounting, bookkeeping and auditing activities; tax consult
        </labl>
        <catStat type="freq">
          78
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Activities of head offices
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Management consultancy activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Architectural and engineering activities and related technic
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Technical testing and analysis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Market research and public opinion polling
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Specialized design activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Photographic activities
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Other professional, scientific and technical activities n.e.
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          Renting and leasing of motor vehicles
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Renting and leasing of personal and household goods
        </labl>
        <catStat type="freq">
          21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          Renting and leasing of other machinery, equipment and tangib
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          Leasing of intellectual property and similar products, excep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          Activities of employment placement agencies
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          Temporary employment agency activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          Other human resources provision
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          Travel agency and tour operator activities
        </labl>
        <catStat type="freq">
          101
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other reservation service and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Private security activities
        </labl>
        <catStat type="freq">
          285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Security systems service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Investigation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Combined facilities support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Cleaning activities
        </labl>
        <catStat type="freq">
          42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Landscape care and maintenance service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Office administrative and support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Activities of call centers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Organization of conventions and trade shows
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Business support service activities n.e.c.
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          2637
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          842
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          4691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          843
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Pre-primary and primary education
        </labl>
        <catStat type="freq">
          620
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          827
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          551
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Other education
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Educational support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          861
        </catValu>
        <labl>
          Hospital activities
        </labl>
        <catStat type="freq">
          585
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Medical and dental practice activities
        </labl>
        <catStat type="freq">
          117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          869
        </catValu>
        <labl>
          Other human health activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <labl>
          Residential nursing care facilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          872
        </catValu>
        <labl>
          Residential care activities for mental retardation, mental h
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          873
        </catValu>
        <labl>
          Residential care activities for the elderly and disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          879
        </catValu>
        <labl>
          Other residential care activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          881
        </catValu>
        <labl>
          Social work activities without accommodation for the elderly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          889
        </catValu>
        <labl>
          Other social work activities without accommodation
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Creative, arts and entertainment activities
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Libraries, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl>
          Gambling and betting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Sports activities
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Other amusement and recreation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Activities of business, employers and professional membershi
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          212
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Repair of computers and communication equipment
        </labl>
        <catStat type="freq">
          29
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          960
        </catValu>
        <labl>
          Other personal service activities
        </labl>
        <catStat type="freq">
          285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          970
        </catValu>
        <labl>
          Activities of households as employers of domestic personnel
        </labl>
        <catStat type="freq">
          261
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          981
        </catValu>
        <labl>
          Undifferentiated goods-producing activities of private house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          982
        </catValu>
        <labl>
          Undifferentiated service-producing activities of private hou
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          21081
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1649" name="INDSP_1_ISIC4_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="179" EndPos="182" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the first spouse [ISIC Rev.4-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        3794
      </sumStat>
      <sumStat type="invd">
        44642
      </sumStat>
      <txt>
        Economic activity classification for the main job of the first spouse, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of non-perennial crops
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Growing of perennial crops
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Plant propagation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Animal production
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mixed farming
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Support activities to agriculture and post-harvest crop acti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Hunting, trapping and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Silviculture and other forestry activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Logging
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Gathering of non-wood forest products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Support services to forestry
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Aquaculture
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mining of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Mining of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Extraction of crude petroleum
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Extraction of natural gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Mining of non-ferrous metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Support activities for petroleum and natural gas extraction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Support activities for other mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Processing and preserving of meat
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Processing and preserving of fish, crustaceans and molluscs
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Processing and preserving of fruit and vegetables
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Manufacture of vegetable and animal oils and fats
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Manufacture of prepared animal feeds
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Manufacture of knitted and crocheted apparel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Manufacture of basic chemicals, fertilizers and nitrogen com
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of pharmaceuticals, medicinal chemical and botan
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of basic precious and other non-ferrous metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of weapons and ammunition
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metalworking
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of electronic components and boards
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Manufacture of computers and peripheral equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Manufacture of communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Manufacture of consumer electronics
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Manufacture of measuring, testing, navigating and control eq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Manufacture of irradiation, electromedical and electrotherap
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Manufacture of magnetic and optical media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of electric motors, generators, transformers and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of batteries and accumulators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Manufacture of wiring and wiring devices
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Manufacture of electric lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Manufacture of domestic appliances
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Manufacture of other electrical equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of general-purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Manufacture of special-purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Building of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Manufacture of railway locomotives and rolling stock
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Manufacture of air and spacecraft and related machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Manufacture of military fighting vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of jewellery, bijouterie and related articles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of musical instruments
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of sports goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Manufacture of games and toys
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Manufacture of medical and dental instruments and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Other manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Repair of fabricated metal products, machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Installation of industrial machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Electric power generation, transmission and distribution
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Water collection, treatment and supply
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Sewerage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Waste collection
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Waste treatment and disposal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Materials recovery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Remediation activities and other waste management services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Construction of buildings
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Construction of roads and railways
        </labl>
        <catStat type="freq">
          14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Construction of utility projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Construction of other civil engineering projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Demolition and site preparation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Electrical, plumbing and other construction installation act
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          Building completion and finishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Other specialized construction activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Wholesale of agricultural raw materials and live animals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          Wholesale of food, beverages and tobacco
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Other specialized wholesale
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          Non-specialized wholesale trade
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          Retail sale in non-specialized stores
        </labl>
        <catStat type="freq">
          50
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          Retail sale of automotive fuel in specialized stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Retail sale of information and communications equipment in s
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          Retail sale of other household equipment in specialized stor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          Retail sale of cultural and recreation goods in specialized
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          Retail sale of other goods in specialized stores
        </labl>
        <catStat type="freq">
          45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Retail sale via stalls and markets
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          Retail trade not in stores, stalls or markets
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          Transport via pipeline
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Passenger air transport
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Freight air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Warehousing and storage
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Support activities for transportation
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Postal activities
        </labl>
        <catStat type="freq">
          11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Courier activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Short term accommodation activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Camping grounds, recreational vehicle parks and trailer park
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Other accommodation
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Restaurants and mobile food service activities
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Event catering and other food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          Beverage serving activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          Publishing of books, periodicals and other publishing activi
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          Software publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Motion picture, video and television program activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          Sound recording and music publishing activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Radio broadcasting
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Television programming and broadcasting activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Wired telecommunications activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Wireless telecommunications activities
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Satellite telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Other telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Computer programming, consultancy and related activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Data processing, hosting and related activities; web portals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          Other information service activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          46
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Activities of holding companies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Trusts, funds and similar financial entities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          Other financial service activities, except insurance and pen
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Insurance
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Reinsurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl>
          Pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          Activities auxiliary to financial service activities, except
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Fund management activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          691
        </catValu>
        <labl>
          Legal activities
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          692
        </catValu>
        <labl>
          Accounting, bookkeeping and auditing activities; tax consult
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Activities of head offices
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Management consultancy activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Architectural and engineering activities and related technic
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Technical testing and analysis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          5
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Market research and public opinion polling
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Specialized design activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Photographic activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Other professional, scientific and technical activities n.e.
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          Renting and leasing of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Renting and leasing of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          Renting and leasing of other machinery, equipment and tangib
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          Leasing of intellectual property and similar products, excep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          Activities of employment placement agencies
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          Temporary employment agency activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          Other human resources provision
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          Travel agency and tour operator activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other reservation service and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Private security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Security systems service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Investigation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Combined facilities support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Cleaning activities
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Landscape care and maintenance service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Office administrative and support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Activities of call centers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Organization of conventions and trade shows
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Business support service activities n.e.c.
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          491
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          842
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          159
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          843
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Pre-primary and primary education
        </labl>
        <catStat type="freq">
          1087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          800
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          118
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Other education
        </labl>
        <catStat type="freq">
          26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Educational support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          861
        </catValu>
        <labl>
          Hospital activities
        </labl>
        <catStat type="freq">
          531
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Medical and dental practice activities
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          869
        </catValu>
        <labl>
          Other human health activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <labl>
          Residential nursing care facilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          872
        </catValu>
        <labl>
          Residential care activities for mental retardation, mental h
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          873
        </catValu>
        <labl>
          Residential care activities for the elderly and disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          879
        </catValu>
        <labl>
          Other residential care activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          881
        </catValu>
        <labl>
          Social work activities without accommodation for the elderly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          889
        </catValu>
        <labl>
          Other social work activities without accommodation
        </labl>
        <catStat type="freq">
          25
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Creative, arts and entertainment activities
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Libraries, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl>
          Gambling and betting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Sports activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Other amusement and recreation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Activities of business, employers and professional membershi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Repair of computers and communication equipment
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          960
        </catValu>
        <labl>
          Other personal service activities
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          970
        </catValu>
        <labl>
          Activities of households as employers of domestic personnel
        </labl>
        <catStat type="freq">
          10
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          981
        </catValu>
        <labl>
          Undifferentiated goods-producing activities of private house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          982
        </catValu>
        <labl>
          Undifferentiated service-producing activities of private hou
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44642
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------




COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1650" name="INDSP_2_ISIC4_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="183" EndPos="186" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the second spouse [ISIC Rev.4-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        48428
      </sumStat>
      <txt>
        Economic activity classification for the main job of the second spouse, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of non-perennial crops
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Growing of perennial crops
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Plant propagation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Animal production
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mixed farming
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Support activities to agriculture and post-harvest crop acti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Hunting, trapping and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Silviculture and other forestry activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Logging
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Gathering of non-wood forest products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Support services to forestry
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Aquaculture
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mining of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Mining of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Extraction of crude petroleum
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Extraction of natural gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Mining of non-ferrous metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Support activities for petroleum and natural gas extraction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Support activities for other mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Processing and preserving of meat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Processing and preserving of fish, crustaceans and molluscs
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Processing and preserving of fruit and vegetables
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Manufacture of vegetable and animal oils and fats
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Manufacture of prepared animal feeds
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Manufacture of knitted and crocheted apparel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Manufacture of basic chemicals, fertilizers and nitrogen com
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of pharmaceuticals, medicinal chemical and botan
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of basic precious and other non-ferrous metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of weapons and ammunition
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metalworking
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of electronic components and boards
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Manufacture of computers and peripheral equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Manufacture of communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Manufacture of consumer electronics
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Manufacture of measuring, testing, navigating and control eq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Manufacture of irradiation, electromedical and electrotherap
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Manufacture of magnetic and optical media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of electric motors, generators, transformers and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of batteries and accumulators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Manufacture of wiring and wiring devices
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Manufacture of electric lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Manufacture of domestic appliances
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Manufacture of other electrical equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of general-purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Manufacture of special-purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Building of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Manufacture of railway locomotives and rolling stock
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Manufacture of air and spacecraft and related machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Manufacture of military fighting vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of jewellery, bijouterie and related articles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of musical instruments
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of sports goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Manufacture of games and toys
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Manufacture of medical and dental instruments and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Other manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Repair of fabricated metal products, machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Installation of industrial machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Electric power generation, transmission and distribution
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Water collection, treatment and supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Sewerage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Waste collection
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Waste treatment and disposal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Materials recovery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Remediation activities and other waste management services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Construction of buildings
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Construction of roads and railways
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Construction of utility projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Construction of other civil engineering projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Demolition and site preparation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Electrical, plumbing and other construction installation act
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          Building completion and finishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Other specialized construction activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Wholesale of agricultural raw materials and live animals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          Wholesale of food, beverages and tobacco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Other specialized wholesale
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          Non-specialized wholesale trade
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          Retail sale in non-specialized stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          Retail sale of automotive fuel in specialized stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Retail sale of information and communications equipment in s
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          Retail sale of other household equipment in specialized stor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          Retail sale of cultural and recreation goods in specialized
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          Retail sale of other goods in specialized stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Retail sale via stalls and markets
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          Retail trade not in stores, stalls or markets
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          Transport via pipeline
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Passenger air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Freight air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Warehousing and storage
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Support activities for transportation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Postal activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Courier activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Short term accommodation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Camping grounds, recreational vehicle parks and trailer park
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Other accommodation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Restaurants and mobile food service activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Event catering and other food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          Beverage serving activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          Publishing of books, periodicals and other publishing activi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          Software publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Motion picture, video and television program activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          Sound recording and music publishing activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Radio broadcasting
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Television programming and broadcasting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Wired telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Wireless telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Satellite telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Other telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Computer programming, consultancy and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Data processing, hosting and related activities; web portals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          Other information service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Activities of holding companies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Trusts, funds and similar financial entities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          Other financial service activities, except insurance and pen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Reinsurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl>
          Pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          Activities auxiliary to financial service activities, except
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Fund management activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          691
        </catValu>
        <labl>
          Legal activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          692
        </catValu>
        <labl>
          Accounting, bookkeeping and auditing activities; tax consult
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Activities of head offices
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Management consultancy activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Architectural and engineering activities and related technic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Technical testing and analysis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Market research and public opinion polling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Specialized design activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Photographic activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Other professional, scientific and technical activities n.e.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          Renting and leasing of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Renting and leasing of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          Renting and leasing of other machinery, equipment and tangib
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          Leasing of intellectual property and similar products, excep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          Activities of employment placement agencies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          Temporary employment agency activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          Other human resources provision
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          Travel agency and tour operator activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other reservation service and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Private security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Security systems service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Investigation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Combined facilities support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Cleaning activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Landscape care and maintenance service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Office administrative and support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Activities of call centers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Organization of conventions and trade shows
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Business support service activities n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          842
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          843
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Pre-primary and primary education
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Other education
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Educational support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          861
        </catValu>
        <labl>
          Hospital activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Medical and dental practice activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          869
        </catValu>
        <labl>
          Other human health activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <labl>
          Residential nursing care facilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          872
        </catValu>
        <labl>
          Residential care activities for mental retardation, mental h
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          873
        </catValu>
        <labl>
          Residential care activities for the elderly and disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          879
        </catValu>
        <labl>
          Other residential care activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          881
        </catValu>
        <labl>
          Social work activities without accommodation for the elderly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          889
        </catValu>
        <labl>
          Other social work activities without accommodation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Creative, arts and entertainment activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Libraries, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl>
          Gambling and betting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Sports activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Other amusement and recreation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Activities of business, employers and professional membershi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Repair of computers and communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          960
        </catValu>
        <labl>
          Other personal service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          970
        </catValu>
        <labl>
          Activities of households as employers of domestic personnel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          981
        </catValu>
        <labl>
          Undifferentiated goods-producing activities of private house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          982
        </catValu>
        <labl>
          Undifferentiated service-producing activities of private hou
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------




COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1651" name="INDSP_3_ISIC4_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="187" EndPos="190" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job of the third spouse [ISIC Rev.4-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Economic activity classification for the main job of the third spouse, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of non-perennial crops
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Growing of perennial crops
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Plant propagation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Animal production
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mixed farming
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Support activities to agriculture and post-harvest crop acti
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Hunting, trapping and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Silviculture and other forestry activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Logging
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Gathering of non-wood forest products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Support services to forestry
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Aquaculture
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mining of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Mining of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Extraction of crude petroleum
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Extraction of natural gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Mining of non-ferrous metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Support activities for petroleum and natural gas extraction
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Support activities for other mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Processing and preserving of meat
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Processing and preserving of fish, crustaceans and molluscs
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Processing and preserving of fruit and vegetables
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Manufacture of vegetable and animal oils and fats
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Manufacture of prepared animal feeds
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Manufacture of knitted and crocheted apparel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Manufacture of basic chemicals, fertilizers and nitrogen com
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of pharmaceuticals, medicinal chemical and botan
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of basic precious and other non-ferrous metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of weapons and ammunition
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metalworking
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of electronic components and boards
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Manufacture of computers and peripheral equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Manufacture of communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Manufacture of consumer electronics
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Manufacture of measuring, testing, navigating and control eq
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Manufacture of irradiation, electromedical and electrotherap
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Manufacture of magnetic and optical media
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of electric motors, generators, transformers and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of batteries and accumulators
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Manufacture of wiring and wiring devices
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Manufacture of electric lighting equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Manufacture of domestic appliances
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Manufacture of other electrical equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of general-purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Manufacture of special-purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Building of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Manufacture of railway locomotives and rolling stock
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Manufacture of air and spacecraft and related machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Manufacture of military fighting vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of jewellery, bijouterie and related articles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of musical instruments
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of sports goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Manufacture of games and toys
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Manufacture of medical and dental instruments and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Other manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Repair of fabricated metal products, machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Installation of industrial machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Electric power generation, transmission and distribution
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Water collection, treatment and supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Sewerage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Waste collection
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Waste treatment and disposal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Materials recovery
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Remediation activities and other waste management services
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Construction of buildings
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Construction of roads and railways
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Construction of utility projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Construction of other civil engineering projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Demolition and site preparation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Electrical, plumbing and other construction installation act
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          Building completion and finishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Other specialized construction activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Wholesale of agricultural raw materials and live animals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          Wholesale of food, beverages and tobacco
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Other specialized wholesale
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          Non-specialized wholesale trade
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          Retail sale in non-specialized stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          Retail sale of automotive fuel in specialized stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Retail sale of information and communications equipment in s
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          Retail sale of other household equipment in specialized stor
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          Retail sale of cultural and recreation goods in specialized
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          Retail sale of other goods in specialized stores
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Retail sale via stalls and markets
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          Retail trade not in stores, stalls or markets
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          Transport via pipeline
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Passenger air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Freight air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Warehousing and storage
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Support activities for transportation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Postal activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Courier activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Short term accommodation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Camping grounds, recreational vehicle parks and trailer park
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Other accommodation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Restaurants and mobile food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Event catering and other food service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          Beverage serving activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          Publishing of books, periodicals and other publishing activi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          Software publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Motion picture, video and television program activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          Sound recording and music publishing activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Radio broadcasting
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Television programming and broadcasting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Wired telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Wireless telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Satellite telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Other telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Computer programming, consultancy and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Data processing, hosting and related activities; web portals
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          Other information service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Activities of holding companies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Trusts, funds and similar financial entities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          Other financial service activities, except insurance and pen
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Insurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Reinsurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl>
          Pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          Activities auxiliary to financial service activities, except
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Fund management activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          691
        </catValu>
        <labl>
          Legal activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          692
        </catValu>
        <labl>
          Accounting, bookkeeping and auditing activities; tax consult
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Activities of head offices
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Management consultancy activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Architectural and engineering activities and related technic
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Technical testing and analysis
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Market research and public opinion polling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Specialized design activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Photographic activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Other professional, scientific and technical activities n.e.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          Renting and leasing of motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Renting and leasing of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          Renting and leasing of other machinery, equipment and tangib
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          Leasing of intellectual property and similar products, excep
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          Activities of employment placement agencies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          Temporary employment agency activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          Other human resources provision
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          Travel agency and tour operator activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other reservation service and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Private security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Security systems service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Investigation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Combined facilities support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Cleaning activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Landscape care and maintenance service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Office administrative and support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Activities of call centers
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Organization of conventions and trade shows
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Business support service activities n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          842
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          843
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Pre-primary and primary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Other education
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Educational support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          861
        </catValu>
        <labl>
          Hospital activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Medical and dental practice activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          869
        </catValu>
        <labl>
          Other human health activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <labl>
          Residential nursing care facilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          872
        </catValu>
        <labl>
          Residential care activities for mental retardation, mental h
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          873
        </catValu>
        <labl>
          Residential care activities for the elderly and disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          879
        </catValu>
        <labl>
          Other residential care activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          881
        </catValu>
        <labl>
          Social work activities without accommodation for the elderly
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          889
        </catValu>
        <labl>
          Other social work activities without accommodation
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Creative, arts and entertainment activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Libraries, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl>
          Gambling and betting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Sports activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Other amusement and recreation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Activities of business, employers and professional membershi
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Repair of computers and communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          960
        </catValu>
        <labl>
          Other personal service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          970
        </catValu>
        <labl>
          Activities of households as employers of domestic personnel
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          981
        </catValu>
        <labl>
          Undifferentiated goods-producing activities of private house
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          982
        </catValu>
        <labl>
          Undifferentiated service-producing activities of private hou
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------




COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1652" name="SECTORHD" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="191" EndPos="192" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        27355
      </sumStat>
      <sumStat type="invd">
        21081
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          9948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          17224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          21081
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Quasi-public sectors are considered as public. 
In the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.
Cooperative includes employees in joint ventures.
Foreign includes workers in international NGOs.
Others includes workers in national NGOs and in private households.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1653" name="SECTORSP_1" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="193" EndPos="194" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        3794
      </sumStat>
      <sumStat type="invd">
        44642
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the first spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          2804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44642
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Quasi-public sectors are considered as public. 
In the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.
Cooperative includes employees in joint ventures.
Foreign includes workers in international NGOs.
Others includes workers in national NGOs and in private households.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1654" name="SECTORSP_2" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="195" EndPos="196" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        48428
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the second spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Quasi-public sectors are considered as public. 
In the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.
Cooperative includes employees in joint ventures.
Foreign includes workers in international NGOs.
Others includes workers in national NGOs and in private households.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1655" name="SECTORSP_3" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="197" EndPos="198" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the third spouse [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job of the third spouse.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Quasi-public sectors are considered as public. 
In the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.
Cooperative includes employees in joint ventures.
Foreign includes workers in international NGOs.
Others includes workers in national NGOs and in private households.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1656" name="SECTORHD_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="199" EndPos="201" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        27355
      </sumStat>
      <sumStat type="invd">
        21081
      </sumStat>
      <txt>
        These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          9948
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
        <catStat type="freq">
          13479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          3745
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          21081
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1657" name="SECTORSP_1_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="202" EndPos="204" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the first spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        3794
      </sumStat>
      <sumStat type="invd">
        44642
      </sumStat>
      <txt>
        These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          2804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
        <catStat type="freq">
          919
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          40
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          44642
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1658" name="SECTORSP_2_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="205" EndPos="207" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the second spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        48428
      </sumStat>
      <txt>
        These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48428
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1659" name="SECTORSP_3_D" files="F16" dcml="0" intrvl="discrete">
      <location StartPos="208" EndPos="210" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the third spouse [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        These variables distinguish between different types of public and private sector employment, as well as other types of sectors (foreign, cooperative, etc.).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1660" name="TOTWAGHD" files="F16" dcml="2" intrvl="contin">
      <location StartPos="211" EndPos="216" width="6" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job of the head
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="50" max="750"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Heads aged 15+
      </universe>
      <sumStat type="vald">
        22507
      </sumStat>
      <sumStat type="invd">
        25929
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        366.93
      </sumStat>
      <sumStat type="stdev">
        147.452
      </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.

When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1661" name="TOTWAGSP_1" files="F16" dcml="2" intrvl="contin">
      <location StartPos="217" EndPos="222" width="6" 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 min="50" max="750"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Spouses aged 15+
      </universe>
      <sumStat type="vald">
        3657
      </sumStat>
      <sumStat type="invd">
        44779
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        386.3
      </sumStat>
      <sumStat type="stdev">
        139.276
      </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.

When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1662" name="TOTWAGSP_2" files="F16" dcml="2" intrvl="contin">
      <location StartPos="223" EndPos="228" width="6" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job of the second spouse
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="150" max="400"/>
      </valrng>
      <universe clusion="I">
        Waged Workers Spouses aged 15+
      </universe>
      <sumStat type="vald">
        8
      </sumStat>
      <sumStat type="invd">
        48428
      </sumStat>
      <sumStat type="min">
        150
      </sumStat>
      <sumStat type="max">
        400
      </sumStat>
      <sumStat type="mean">
        262.5
      </sumStat>
      <sumStat type="stdev">
        95.431
      </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.

When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1663" name="TOTWAGSP_3" files="F16" dcml="2" intrvl="discrete">
      <location StartPos="229" EndPos="232" 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 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        This variable indicates the total monthly wage the third spouse, reported waged worker, received from the main job, including bonuses, benefits, allowances, profits, etc.
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of the total wage reported in this variable should equal the value of the basic wage in addition to bonuses, benefits, allowances, profits, etc.

When the original dataset has only wage categories, the total wage is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1664" name="EMPINCHD" files="F16" dcml="2" intrvl="contin">
      <location StartPos="233" EndPos="238" width="6" RecSegNo="1"/>
      <labl>
        Total monthly income of the head if reported employer
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="50" max="750"/>
      </valrng>
      <universe clusion="I">
        Heads reported employers aged 15+
      </universe>
      <sumStat type="vald">
        1600
      </sumStat>
      <sumStat type="invd">
        46836
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        528.625
      </sumStat>
      <sumStat type="stdev">
        198.46
      </sumStat>
      <txt>
        Total monthly income of the head if reported employer
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded missing.]]>
      </notes>
    </var>
    <var ID="V1665" name="EMPINCSP_1" files="F16" dcml="2" intrvl="contin">
      <location StartPos="239" EndPos="244" width="6" RecSegNo="1"/>
      <labl>
        Total monthly income of the first spouse if reported employer
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="150" max="750"/>
      </valrng>
      <universe clusion="I">
        Spouses reported employers aged 15+
      </universe>
      <sumStat type="vald">
        39
      </sumStat>
      <sumStat type="invd">
        48397
      </sumStat>
      <sumStat type="min">
        150
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        510.256
      </sumStat>
      <sumStat type="stdev">
        211.877
      </sumStat>
      <txt>
        Total monthly income of the first spouse if reported employer
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded missing.]]>
      </notes>
    </var>
    <var ID="V1666" name="EMPINCSP_2" files="F16" dcml="2" intrvl="discrete">
      <location StartPos="245" EndPos="248" width="4" RecSegNo="1"/>
      <labl>
        Total monthly income of the second spouse if reported employer
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <universe clusion="I">
        Spouses reported employers aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Total monthly income of the second spouse if reported employer
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded missing.]]>
      </notes>
    </var>
    <var ID="V1667" name="EMPINCSP_3" files="F16" dcml="2" intrvl="discrete">
      <location StartPos="249" EndPos="252" width="4" RecSegNo="1"/>
      <labl>
        Total monthly income of the third spouse if reported employer
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <universe clusion="I">
        Spouses reported employers aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Total monthly income of the third spouse if reported employer
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded missing.]]>
      </notes>
    </var>
    <var ID="V1668" name="SEMPINCHD" files="F16" dcml="2" intrvl="contin">
      <location StartPos="253" EndPos="258" width="6" RecSegNo="1"/>
      <labl>
        Total monthly income of the head if reported self-employed
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="50" max="750"/>
      </valrng>
      <universe clusion="I">
        Self-employed Heads aged 15+
      </universe>
      <sumStat type="vald">
        3168
      </sumStat>
      <sumStat type="invd">
        45268
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        329.198
      </sumStat>
      <sumStat type="stdev">
        164.552
      </sumStat>
      <txt>
        Total monthly income of the head if reported self-employed
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1669" name="SEMPINCSP_1" files="F16" dcml="2" intrvl="contin">
      <location StartPos="259" EndPos="264" width="6" RecSegNo="1"/>
      <labl>
        Total monthly income of the first spouse if reported self-employed
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="50" max="750"/>
      </valrng>
      <universe clusion="I">
        Self-employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        87
      </sumStat>
      <sumStat type="invd">
        48349
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        251.724
      </sumStat>
      <sumStat type="stdev">
        152.584
      </sumStat>
      <txt>
        Total monthly income of the first spouse if reported self-employed
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1670" name="SEMPINCSP_2" files="F16" dcml="2" intrvl="discrete">
      <location StartPos="265" EndPos="268" width="4" RecSegNo="1"/>
      <labl>
        Total monthly income of the second spouse if reported self-employed
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <universe clusion="I">
        Self-employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Total monthly income of the second spouse if reported self-employed
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1671" name="SEMPINCSP_3" files="F16" dcml="2" intrvl="discrete">
      <location StartPos="269" EndPos="272" width="4" RecSegNo="1"/>
      <labl>
        Total monthly income of the third spouse if reported self-employed
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <universe clusion="I">
        Self-employed Spouses aged 15+
      </universe>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        48436
      </sumStat>
      <txt>
        Total monthly income of the third spouse if reported self-employed
      </txt>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          48436
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total number of working hours (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1672" name="COUNTRY" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="3" width="3" RecSegNo="1"/>
      <labl>
        Country
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="12" max="887"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </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>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          216608
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          216623.367
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and the individual files and is necessary when concatenating different data files.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1673" name="YEAR" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="4" EndPos="7" width="4" RecSegNo="1"/>
      <labl>
        Survey year
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="2014" max="2014"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Year during which the survey was performed.
      </txt>
      <catgry>
        <catValu>
          2014
        </catValu>
        <catStat type="freq">
          216608
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          216623.367
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists in both the household and the individual files and is necessary when concatenating cross-sectional data. In the case of panel data, the Panel Identifier should be used to merge the datasets across years.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF]]>
      </notes>
    </var>
    <var ID="V1674" name="ROUND" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="8" EndPos="8" width="1" RecSegNo="1"/>
      <labl>
        Survey round
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="4"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable indicates the round during which the household was observed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          53995
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54009.714
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          54912
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          53521
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53521.653
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          54180
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54180
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The data collection of the LFSs might be conducted over several rounds during the survey year. This variable will be then generated in the datasets for which the collection was done over at least 2 rounds to indicate the round number during which each household was observed.
In the case of panel data, the same household ID may have different round numbers indicating different observations of the same household during the survey year.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF or provided in the original]]>
      </notes>
    </var>
    <var ID="V1675" name="DTYPE" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="9" EndPos="9" width="1" RecSegNo="1"/>
      <labl>
        Data type
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        This variable should indicate whether the survey data is cross-sectional or panel.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cross-sectional
        </labl>
        <catStat type="freq">
          216608
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          216623.367
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Panel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The value of this variable should be constant for the same dataset, indicating one type of data (cross-sectional or panel). 
This variable might be useful when combining datasets to identify different types of data before using them for analysis.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by ERF taking the code 1 since the data is cross-sectional]]>
      </notes>
    </var>
    <var ID="V1676" name="CASESER" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="10" EndPos="14" width="5" RecSegNo="1"/>
      <labl>
        Unique household identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="48436"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Sequential anonymous household identifier, usually provided in the dataset.
      </txt>
      <codInstr>
        Generated by ERF
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable exists both in the household and the individual files and is necessary when merging the two files. When combining different countries or years, it is necessary to use the CASESER variable in combination with the COUNTRY, YEAR and ROUND variables in order to uniquely identify the households. When merging household and individual level files from the same dataset, this variable can be used to link each individual to the right household.


COUNTRY SPECIFIC NOTES
----------------------------------
A household serial is generated by ERF, using the variables Quart, Q101, Q108, Q110, and Q113 to uniquely identify each household.]]>
      </notes>
    </var>
    <var ID="V1677" name="PNUM" wgt-var="V1678" files="F17" dcml="0" intrvl="contin">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        Individual identifier
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="92"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        1
      </sumStat>
      <sumStat type="max">
        92
      </sumStat>
      <sumStat type="mean">
        3.337
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        3.254
      </sumStat>
      <sumStat type="stdev">
        2.433
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        2.506
      </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="V1678" name="PWEIGHT" wgt="wgt" files="F17" dcml="4" intrvl="contin">
      <location StartPos="17" EndPos="23" width="7" RecSegNo="1"/>
      <labl>
        Individual weight
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range UNITS="REAL" min="0.0774991155801389" max="15.09950984"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0.0775
      </sumStat>
      <sumStat type="max">
        15.1
      </sumStat>
      <sumStat type="mean">
        1
      </sumStat>
      <sumStat type="stdev">
        0.656
      </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="V1679" name="REG" wgt-var="V1678" files="F17" 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 min="400011" max="400034"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Region of residence.
      </txt>
      <catgry>
        <catValu>
          400011
        </catValu>
        <labl>
          Amman
        </labl>
        <catStat type="freq">
          53091
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          80171.973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400012
        </catValu>
        <labl>
          Al Balqa
        </labl>
        <catStat type="freq">
          16377
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12849.086
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400013
        </catValu>
        <labl>
          Al Zarqa
        </labl>
        <catStat type="freq">
          30127
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29808.42
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400014
        </catValu>
        <labl>
          Madaba
        </labl>
        <catStat type="freq">
          8385
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5595.873
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400021
        </catValu>
        <labl>
          Irbid
        </labl>
        <catStat type="freq">
          37298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43175.267
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400022
        </catValu>
        <labl>
          Al Mafraq
        </labl>
        <catStat type="freq">
          16529
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12208.262
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400023
        </catValu>
        <labl>
          Jerash
        </labl>
        <catStat type="freq">
          13467
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7668.151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400024
        </catValu>
        <labl>
          Ajlun
        </labl>
        <catStat type="freq">
          8865
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5180.003
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400031
        </catValu>
        <labl>
          Al Karak
        </labl>
        <catStat type="freq">
          13408
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8839.012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400032
        </catValu>
        <labl>
          Al Tafela
        </labl>
        <catStat type="freq">
          7008
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3107.016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400033
        </catValu>
        <labl>
          Ma'an
        </labl>
        <catStat type="freq">
          6899
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3737.636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400034
        </catValu>
        <labl>
          Al Aqaba
        </labl>
        <catStat type="freq">
          5154
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4282.668
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
To generate the Region and Area of residence, the original variables will be recoded to include the country UN standardized 3 digits code (already used in COUNTRY) in addition to the REG or AREA code, standardized on 3 digits as well.
This is to avoid possible mismatches between these two variables' codes across different countries when the datasets are merged.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1680" name="RURURB" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="30" EndPos="30" width="1" RecSegNo="1"/>
      <labl>
        Urban/Rural residence
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        Indicates whether the region is urban/rural.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Rural
        </labl>
        <catStat type="freq">
          60751
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Urban
        </labl>
        <catStat type="freq">
          155857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Refugee camps
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In case the country has refugee camps (as in Palestine), the "refugee camp" category is coded "2".


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1681" name="AGE" wgt-var="V1678" files="F17" dcml="0" intrvl="contin">
      <location StartPos="31" EndPos="32" width="2" RecSegNo="1"/>
      <labl>
        Age
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="97"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        97
      </sumStat>
      <sumStat type="mean">
        25.834
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        26.299
      </sumStat>
      <sumStat type="stdev">
        19.196
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        19.249
      </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
----------------------------------
In few cases, large age differences were detected between the head's, the spouse's and the son's/daughter's ages.]]>
      </notes>
    </var>
    <var ID="V1682" name="SEX" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="33" EndPos="33" width="1" RecSegNo="1"/>
      <labl>
        Gender
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="2"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Indicator for the gender of the individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
        <catStat type="freq">
          110919
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          111405.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
        <catStat type="freq">
          105689
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          105218.207
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1683" name="MART" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="34" EndPos="35" width="2" RecSegNo="1"/>
      <labl>
        Marital status [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        Legal administrative status concerning marriage &amp; partnership (even if not married, an individual can still be legally recognized as being in a relationship).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          52819
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52540.659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          79752
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82144.35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69.876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          1109
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1156.147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          6411
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6533.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50.247
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no polygamous status for females. Generally the information about polygamous status is available only for the male head. For the other individuals, we consider those having the status married as monogamous.


COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was generated for the head of the household only if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1684" name="MART_D" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="36" EndPos="38" width="3" RecSegNo="1"/>
      <labl>
        Marital status [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        Detailed legal administrative status concerning marriage &amp; partnership (even if not married, an individual can still be legally recognized as being in a relationship).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Never married
        </labl>
        <catStat type="freq">
          52819
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          52540.659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Married monogamous
        </labl>
        <catStat type="freq">
          79752
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82144.35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Legally married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Married
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Married polygamous
        </labl>
        <catStat type="freq">
          76
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          69.876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Divorced/Separated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Separated
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Divorced
        </labl>
        <catStat type="freq">
          1095
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1140.874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Widowed
        </labl>
        <catStat type="freq">
          6411
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6533.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50.247
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
There is no polygamous status for females. Generally the information about polygamous status is available only for the male head. For the other individuals we consider those having the status married as monogamous. 
This variable distinguishes also between legal marriage and marriage, and between separation and divorce. 


COUNTRY SPECIFIC NOTES
----------------------------------
The "married polygamous" category was generated for the head of the household only, if the number of spouses exceeds "1".]]>
      </notes>
    </var>
    <var ID="V1685" name="REL" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="39" EndPos="39" width="1" RecSegNo="1"/>
      <labl>
        Relationship to head [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="8"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[Relationship to the head of household, where the value '1' always stands for the head of the household him/herself.
The value "other relatives" includes nephew and niece, grandparents, sons/daughters in law, etc.]]>
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          48436
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50802.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          37702
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38221.019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          125743
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121961.116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Father/mother (parents)
        </labl>
        <catStat type="freq">
          626
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          687.807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          1014
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1070.087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          1295
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1351.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          1033
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1175.59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          759
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1352.83
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1686" name="REL_D" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="40" EndPos="42" width="3" RecSegNo="1"/>
      <labl>
        Relationship to head [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="850"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Relationship to the head of household, where the value '100' always stands for the head of the household him/herself. Detailed coding indicates different relations for other relatives and other non-relatives to the head.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Head of household
        </labl>
        <catStat type="freq">
          48436
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50802.968
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Spouse
        </labl>
        <catStat type="freq">
          37702
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38221.019
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Son/daughter
        </labl>
        <catStat type="freq">
          125743
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121961.116
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Adopted children
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Father/mother (parents)
        </labl>
        <catStat type="freq">
          626
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          687.807
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Brother/sister
        </labl>
        <catStat type="freq">
          1014
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1070.087
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Grandchildren
        </labl>
        <catStat type="freq">
          1295
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1351.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          700
        </catValu>
        <labl>
          Other relatives
        </labl>
        <catStat type="freq">
          1033
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1175.59
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          Son/daughter in law
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          720
        </catValu>
        <labl>
          Grandparents
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          730
        </catValu>
        <labl>
          Father/mother in law
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Brother/sister in law
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Nephew/niece
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Other non-relatives
        </labl>
        <catStat type="freq">
          298
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          401.87
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          810
        </catValu>
        <labl>
          Servants
        </labl>
        <catStat type="freq">
          461
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          950.959
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          820
        </catValu>
        <labl>
          Doorkeeper
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Driver
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          Shepherd
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          Farmer
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1687" name="ETHNAT" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="43" EndPos="44" width="2" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Ethnicity or nationality.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Non-citizen
        </labl>
        <catStat type="freq">
          13722
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21665.703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Citizen
        </labl>
        <catStat type="freq">
          202886
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          194957.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The content of this variable is not uniform. In many datasets where information on ethnicity or nationality is not available in the original survey, this variable may be indicated by country of birth, race, ancestry or mother tongue.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1688" name="ETHNAT_D" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="45" EndPos="47" width="3" RecSegNo="1"/>
      <labl>
        Ethnicity/nationality [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="4" max="999"/>
      </valrng>
      <universe clusion="I">
        All individuals
      </universe>
      <sumStat type="vald">
        216608
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        216623.367
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        0
      </sumStat>
      <txt>
        Coded per the UN’s Dec. 2012 country classification.
      </txt>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Afghanistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Albania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          American Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Andorra
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Angola
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Antigua and Barbuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Azerbaijan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Argentina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          Australia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Austria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          44
        </catValu>
        <labl>
          Bahamas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48
        </catValu>
        <labl>
          Bahrain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Bangladesh
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Armenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Barbados
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          Belgium
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Bermuda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bhutan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Bolivia (Plurinational State of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Bosnia and Herzegovina
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Botswana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Brazil
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84
        </catValu>
        <labl>
          Belize
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Solomon Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          British Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          Brunei Darussalam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Bulgaria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Myanmar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Burundi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Belarus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          116
        </catValu>
        <labl>
          Cambodia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Cameroon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          124
        </catValu>
        <labl>
          Canada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Cape Verde
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          136
        </catValu>
        <labl>
          Cayman Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Central African Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          144
        </catValu>
        <labl>
          Sri Lanka
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          148
        </catValu>
        <labl>
          Chad
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Chile
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          156
        </catValu>
        <labl>
          China
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Colombia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          174
        </catValu>
        <labl>
          Comoros
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          175
        </catValu>
        <labl>
          Mayotte
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          178
        </catValu>
        <labl>
          Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Democratic Republic of the Congo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          184
        </catValu>
        <labl>
          Cook Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          188
        </catValu>
        <labl>
          Costa Rica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Croatia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Cuba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          196
        </catValu>
        <labl>
          Cyprus
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Czech Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          204
        </catValu>
        <labl>
          Benin
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          208
        </catValu>
        <labl>
          Denmark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Dominica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Dominican Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          218
        </catValu>
        <labl>
          Ecuador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          El Salvador
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Equatorial Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Ethiopia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Eritrea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Estonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Faeroe Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          238
        </catValu>
        <labl>
          Falkland Islands (Malvinas)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Fiji
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          246
        </catValu>
        <labl>
          Finland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          248
        </catValu>
        <labl>
          Aland Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          250
        </catValu>
        <labl>
          France
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          254
        </catValu>
        <labl>
          French Guiana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          258
        </catValu>
        <labl>
          French Polynesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Djibouti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Gabon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Georgia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          270
        </catValu>
        <labl>
          Gambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Palestine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          276
        </catValu>
        <labl>
          Germany
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          288
        </catValu>
        <labl>
          Ghana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Gibraltar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          296
        </catValu>
        <labl>
          Kiribati
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Greece
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Greenland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          308
        </catValu>
        <labl>
          Grenada
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Guadeloupe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          316
        </catValu>
        <labl>
          Guam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Guatemala
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          328
        </catValu>
        <labl>
          Guyana
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Haiti
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          336
        </catValu>
        <labl>
          Holy See
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Honduras
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          344
        </catValu>
        <labl>
          China, Hong Kong Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          348
        </catValu>
        <labl>
          Hungary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Iceland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          356
        </catValu>
        <labl>
          India
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Indonesia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          364
        </catValu>
        <labl>
          Iran (Islamic Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          368
        </catValu>
        <labl>
          Iraq
        </labl>
        <catStat type="freq">
          641
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1682.431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          372
        </catValu>
        <labl>
          Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          376
        </catValu>
        <labl>
          Israel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          380
        </catValu>
        <labl>
          Italy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          384
        </catValu>
        <labl>
          Cote d'Ivoire
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          388
        </catValu>
        <labl>
          Jamaica
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          392
        </catValu>
        <labl>
          Japan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          398
        </catValu>
        <labl>
          Kazakhstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Jordan
        </labl>
        <catStat type="freq">
          202886
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          194957.664
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          404
        </catValu>
        <labl>
          Kenya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          408
        </catValu>
        <labl>
          Democratic People's Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Republic of Korea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          414
        </catValu>
        <labl>
          Kuwait
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          417
        </catValu>
        <labl>
          Kyrgyzstan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          418
        </catValu>
        <labl>
          Lao People's Democratic Republic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Lebanon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          426
        </catValu>
        <labl>
          Lesotho
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          428
        </catValu>
        <labl>
          Latvia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Liberia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          434
        </catValu>
        <labl>
          Libya
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          438
        </catValu>
        <labl>
          Liechtenstein
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          440
        </catValu>
        <labl>
          Lithuania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          442
        </catValu>
        <labl>
          Luxembourg
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          446
        </catValu>
        <labl>
          China, Macao Special Administrative Region
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          450
        </catValu>
        <labl>
          Madagascar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Malawi
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          458
        </catValu>
        <labl>
          Malaysia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Maldives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Mali
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          470
        </catValu>
        <labl>
          Malta
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Martinique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Mauritania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          480
        </catValu>
        <labl>
          Mauritius
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          484
        </catValu>
        <labl>
          Mexico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Monaco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          496
        </catValu>
        <labl>
          Mongolia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          498
        </catValu>
        <labl>
          Republic of Moldova
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          499
        </catValu>
        <labl>
          Montenegro
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Montserrat
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          504
        </catValu>
        <labl>
          Morocco
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          508
        </catValu>
        <labl>
          Mozambique
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Oman
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Namibia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Nauru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Nepal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          528
        </catValu>
        <labl>
          Netherlands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Curacao
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          533
        </catValu>
        <labl>
          Aruba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          534
        </catValu>
        <labl>
          Sint Maarten (Dutch part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          535
        </catValu>
        <labl>
          Bonaire, Saint Eustatius and Saba
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          New Caledonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          548
        </catValu>
        <labl>
          Vanuatu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          554
        </catValu>
        <labl>
          New Zealand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          558
        </catValu>
        <labl>
          Nicaragua
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Niger
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          566
        </catValu>
        <labl>
          Nigeria
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          570
        </catValu>
        <labl>
          Niue
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          574
        </catValu>
        <labl>
          Norfolk Island
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          578
        </catValu>
        <labl>
          Norway
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          580
        </catValu>
        <labl>
          Northern Mariana Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          583
        </catValu>
        <labl>
          Micronesia (Federated States of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          584
        </catValu>
        <labl>
          Marshall Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          585
        </catValu>
        <labl>
          Palau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          586
        </catValu>
        <labl>
          Pakistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Panama
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          598
        </catValu>
        <labl>
          Papua New Guinea
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Paraguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          604
        </catValu>
        <labl>
          Peru
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          608
        </catValu>
        <labl>
          Philippines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Pitcairn
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          616
        </catValu>
        <labl>
          Poland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Portugal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          624
        </catValu>
        <labl>
          Guinea-Bissau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          626
        </catValu>
        <labl>
          Timor-Leste
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Puerto Rico
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Qatar
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          638
        </catValu>
        <labl>
          Reunion
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Romania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Russian Federation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          646
        </catValu>
        <labl>
          Rwanda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Saint-Barthelemy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          654
        </catValu>
        <labl>
          Saint Helena
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          659
        </catValu>
        <labl>
          Saint Kitts and Nevis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          Anguilla
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Saint Lucia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Saint-Martin (French part)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          666
        </catValu>
        <labl>
          Saint Pierre and Miquelon
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Saint Vincent and the Grenadines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          674
        </catValu>
        <labl>
          San Marino
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          678
        </catValu>
        <labl>
          Sao Tome and Principe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Sark
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          686
        </catValu>
        <labl>
          Senegal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          688
        </catValu>
        <labl>
          Serbia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          690
        </catValu>
        <labl>
          Seychelles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          694
        </catValu>
        <labl>
          Sierra Leone
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Singapore
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          703
        </catValu>
        <labl>
          Slovakia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          704
        </catValu>
        <labl>
          Viet Nam
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          705
        </catValu>
        <labl>
          Slovenia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          706
        </catValu>
        <labl>
          Somalia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          710
        </catValu>
        <labl>
          South Africa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          716
        </catValu>
        <labl>
          Zimbabwe
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          724
        </catValu>
        <labl>
          Spain
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          728
        </catValu>
        <labl>
          South Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          729
        </catValu>
        <labl>
          Sudan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Western Sahara
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          740
        </catValu>
        <labl>
          Suriname
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          744
        </catValu>
        <labl>
          Svalbard and Jan Mayen Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          748
        </catValu>
        <labl>
          Swaziland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Sweden
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          756
        </catValu>
        <labl>
          Switzerland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          760
        </catValu>
        <labl>
          Syrian Arab Republic
        </labl>
        <catStat type="freq">
          7645
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11857.592
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          762
        </catValu>
        <labl>
          Tajikistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          764
        </catValu>
        <labl>
          Thailand
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          768
        </catValu>
        <labl>
          Togo
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Tokelau
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          776
        </catValu>
        <labl>
          Tonga
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          780
        </catValu>
        <labl>
          Trinidad and Tobago
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          784
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          788
        </catValu>
        <labl>
          Tunisia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          792
        </catValu>
        <labl>
          Turkey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          795
        </catValu>
        <labl>
          Turkmenistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          796
        </catValu>
        <labl>
          Turks and Caicos Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          798
        </catValu>
        <labl>
          Tuvalu
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          800
        </catValu>
        <labl>
          Uganda
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          804
        </catValu>
        <labl>
          Ukraine
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          807
        </catValu>
        <labl>
          The former Yugoslav Republic of Macedonia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Egypt
        </labl>
        <catStat type="freq">
          2642
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4058.876
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          826
        </catValu>
        <labl>
          United Kingdom of Great Britain and Northern Ireland
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          830
        </catValu>
        <labl>
          Channel Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Guernsey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Jersey
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Isle of Man
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          United Republic of Tanzania
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          840
        </catValu>
        <labl>
          United States of America
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          850
        </catValu>
        <labl>
          United States Virgin Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Burkina Faso
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          858
        </catValu>
        <labl>
          Uruguay
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          860
        </catValu>
        <labl>
          Uzbekistan
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Venezuela (Bolivarian Republic of)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          876
        </catValu>
        <labl>
          Wallis and Futuna Islands
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          882
        </catValu>
        <labl>
          Samoa
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          887
        </catValu>
        <labl>
          Yemen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          894
        </catValu>
        <labl>
          Zambia
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Other Arab countries
        </labl>
        <catStat type="freq">
          2030
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2505.398
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          991
        </catValu>
        <labl>
          Other non-Arab countries
        </labl>
        <catStat type="freq">
          764
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1561.406
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Without citizenship
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1689" name="LIT" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="48" EndPos="49" width="2" RecSegNo="1"/>
      <labl>
        Literacy status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        This variable indicates whether the individual is or is not literate (can read and write).
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          11086
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9753.317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can read &amp; write
        </labl>
        <catStat type="freq">
          129070
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132678.612
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.642
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
An individual is considered literate if he/she can both read and write and not just one or the other. A semi-literate individual (one who can read, but cannot write) is said to be illiterate. In the case where the survey only asks whether an individual can read but does not ask if they can write, and in the case that there is no information in the questionnaire about the reading and writing ability, the literacy status cannot be determined, and these are coded as missing. 
If there are no questions about the reading and writing abilities, but the educational attainment is elementary or upper, the individual is considered literate.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1690" name="EVERATTD" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="50" EndPos="51" width="2" RecSegNo="1"/>
      <labl>
        Ever attended school
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        This variable indicates whether the individual has ever attended school - academic, Koranic, or any other formal or informal education.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          10718
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9375.209
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          129438
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          133056.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.642
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is valid for all individuals in the pre-primary school age or above while it is coded missing for others. Primary school age will vary by country.
This is a country-specific standard that depends on how school attendance is defined. Pre-school may be included here. Also, in some countries, the ever attended school variable could be coded yes even if the individual has attended school for a minimum amount of time. The differences need to be carefully documented.
One is not required to have completed any level of education to answer this question positively.
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="V1691" name="ATTSCH" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="52" EndPos="53" width="2" RecSegNo="1"/>
      <labl>
        School attendance status
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        <![CDATA[This variable indicates  whether the individual is attending school at the time of the survey.]]>
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          116769
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118657.237
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          23387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23774.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.642
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
If a person is on a short school holiday when interviewed, he or she is considered to be at school. However, if the person is on the holiday between two years of schooling, one cannot assume that he/she will continue schooling into the next year.
The variable can be created using either the attendance or the enrolment question (since typically just one of them is available in each survey). 
The generation of this variable does not require one to have completed any level to be considered currently attending school.
Adults currently attending literacy programs are considered as attending school (ATTSCH = 1).
In the case that the person is not currently attending school but there is no information on whether he/she attended school and left or never attended school use information from EDUC to impute the right value.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1692" name="EDUC" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="54" EndPos="55" width="2" RecSegNo="1"/>
      <labl>
        Educational level [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        This variable should indicate the highest level of education attained/ completed.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          15683
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14180.674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          74405
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          73212.442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          22829
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24911.293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          9307
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10132.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          16303
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18114.289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          1629
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1880.542
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.642
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable is generated based on the highest educational attainment variable.
Primary corresponds to elementary, and lower secondary to preparatory/second stage of basic education.
If there is no information on the highest level of education completed, the variable can be constructed using the diploma level, and the years of education, if available. 
When using currently attending information (level or grade) to construct the variable, it must correspond to the grade (or level) presently attended minus one (1).
This is country specific - not all countries require the same number of school years to complete a given level.
The value "None" does not mean that the individual never attended school; it means that the individual did not complete the first level of education (elementary). 
“None” corresponds either to those currently enrolled in primary but didn't get the diploma, those illiterate or can read and write, and those in informal schools, such as Koranic schools, traditional schools, vocational training or adult programs etc. 
If there is no question on the highest level of education completed for those not attending school and there is no information on diploma and/or years of education completed, then the variable cannot be constructed.


COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1693" name="EDUC_D" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="56" EndPos="58" width="3" RecSegNo="1"/>
      <labl>
        <![CDATA[Educational level  [Detailed version]]]>
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        Highest level of education attained (detailed version of coding).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          None
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Illiterate
        </labl>
        <catStat type="freq">
          11086
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9753.317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Read only
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Read &amp; write
        </labl>
        <catStat type="freq">
          4597
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4427.357
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Literacy classes/certificate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Never attended school
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          160
        </catValu>
        <labl>
          KG
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Koranic KG (Kouttab)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          180
        </catValu>
        <labl>
          Attending elementary school and did not complete first level
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Primary/Lower secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          15232
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15574.487
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Preparatory
        </labl>
        <catStat type="freq">
          24140
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24649.663
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          35033
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32988.292
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          240
        </catValu>
        <labl>
          Professional/Vocational below secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Secondary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Academic secondary
        </labl>
        <catStat type="freq">
          22480
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24530.001
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Professional/Vocational secondary
        </labl>
        <catStat type="freq">
          349
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          381.293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Post secondary or equivalent
        </labl>
        <catStat type="freq">
          9307
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10132.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          16303
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18114.289
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          High diploma
        </labl>
        <catStat type="freq">
          372
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          348.641
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Masters
        </labl>
        <catStat type="freq">
          926
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1120.332
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          PhD
        </labl>
        <catStat type="freq">
          331
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          411.569
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.642
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The older education system consisted of 3 cycles; primary (grades one through six); preparatory (grades seven through nine); and secondary (grades ten through twelve).
The new education system consists of 2 cycles only; basic education (10 years); and secondary education (2 years).]]>
      </notes>
    </var>
    <var ID="V1694" name="CERTIF" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="59" EndPos="64" width="6" RecSegNo="1"/>
      <labl>
        Certificate specialization
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="8001" max="999999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+ holding a below secondary/ secondary certificate or highe
      </universe>
      <sumStat type="vald">
        49719
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        54657.519
      </sumStat>
      <sumStat type="invd">
        166889
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        161965.847
      </sumStat>
      <txt>
        This variable provides information on the specialization of the highest certificate attained.
      </txt>
      <catgry>
        <catValu>
          8001
        </catValu>
        <labl>
          Basic remedial programs for adults
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8002
        </catValu>
        <labl>
          Alphabet literacy programs (Reading and writing)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8003
        </catValu>
        <labl>
          Numerical literacy (Calculations)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9001
        </catValu>
        <labl>
          Development of behavioral capacities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9002
        </catValu>
        <labl>
          Development of mental skills
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9003
        </catValu>
        <labl>
          Development of personal organizational capacities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9004
        </catValu>
        <labl>
          Life orientation programs
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10101
        </catValu>
        <labl>
          Other unspecified in secondary education
        </labl>
        <catStat type="freq">
          263
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          392.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10102
        </catValu>
        <labl>
          Secondary-arts
        </labl>
        <catStat type="freq">
          10978
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11769.373
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10103
        </catValu>
        <labl>
          Secondary-science
        </labl>
        <catStat type="freq">
          4891
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5734.917
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10104
        </catValu>
        <labl>
          Secondary-religious
        </labl>
        <catStat type="freq">
          53
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56.074
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10105
        </catValu>
        <labl>
          Secondary-informational vocational
        </labl>
        <catStat type="freq">
          2962
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3035.234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10201
        </catValu>
        <labl>
          Secondary-vocational commercial
        </labl>
        <catStat type="freq">
          597
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          796.804
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10202
        </catValu>
        <labl>
          Secondary-nursing
        </labl>
        <catStat type="freq">
          359
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          296.203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10203
        </catValu>
        <labl>
          Secondary-Industrial vocational
        </labl>
        <catStat type="freq">
          1433
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1507.617
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10204
        </catValu>
        <labl>
          Electricity
        </labl>
        <catStat type="freq">
          356
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          359.629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10205
        </catValu>
        <labl>
          Mechanical
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10206
        </catValu>
        <labl>
          Other unspecified in secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10207
        </catValu>
        <labl>
          Household Economics
        </labl>
        <catStat type="freq">
          111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109.434
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10208
        </catValu>
        <labl>
          Other unspecified in secondary education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10209
        </catValu>
        <labl>
          Hotel
        </labl>
        <catStat type="freq">
          111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          118.272
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10210
        </catValu>
        <labl>
          Cosmetics
        </labl>
        <catStat type="freq">
          133
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          140.523
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10211
        </catValu>
        <labl>
          Sewing
        </labl>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          60.131
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10212
        </catValu>
        <labl>
          Childcare
        </labl>
        <catStat type="freq">
          137
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          128.064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14101
        </catValu>
        <labl>
          Teaching science
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10.771
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14102
        </catValu>
        <labl>
          Education science
        </labl>
        <catStat type="freq">
          280
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          294.107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14103
        </catValu>
        <labl>
          Measurement &amp; educational tests
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14104
        </catValu>
        <labl>
          Search &amp; educational estimation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14105
        </catValu>
        <labl>
          Pedagogical sciences (education)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14106
        </catValu>
        <labl>
          Educational supervision
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14107
        </catValu>
        <labl>
          Curriculum
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12.623
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14108
        </catValu>
        <labl>
          Education technology
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.689
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14109
        </catValu>
        <labl>
          Educational counselling
        </labl>
        <catStat type="freq">
          241
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          244.916
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14110
        </catValu>
        <labl>
          Special education
        </labl>
        <catStat type="freq">
          474
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          447.35
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14201
        </catValu>
        <labl>
          Early childhood teaching
        </labl>
        <catStat type="freq">
          1440
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1355.609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14202
        </catValu>
        <labl>
          Kindergarten education
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.315
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14203
        </catValu>
        <labl>
          Child education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14301
        </catValu>
        <labl>
          Primary education
        </labl>
        <catStat type="freq">
          358
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          388.362
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14302
        </catValu>
        <labl>
          Special education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14303
        </catValu>
        <labl>
          Classroom teacher
        </labl>
        <catStat type="freq">
          1057
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          913.716
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14304
        </catValu>
        <labl>
          Adult education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14305
        </catValu>
        <labl>
          Field teacher/Islamic education
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.085
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14306
        </catValu>
        <labl>
          Field teacher/Natural science
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.636
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14307
        </catValu>
        <labl>
          Field teacher/social studies
        </labl>
        <catStat type="freq">
          61
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          56.422
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14308
        </catValu>
        <labl>
          Field teacher/Arabic language
        </labl>
        <catStat type="freq">
          190
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          219.697
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14309
        </catValu>
        <labl>
          Field teacher/foreign language
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14310
        </catValu>
        <labl>
          Field teacher/mathematics &amp; Science
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.926
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14311
        </catValu>
        <labl>
          Field teacher/vocational education
        </labl>
        <catStat type="freq">
          71
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66.767
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14312
        </catValu>
        <labl>
          Classroom teacher
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14313
        </catValu>
        <labl>
          Classroom teacher/English language
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.628
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14401
        </catValu>
        <labl>
          Pedagogical of teaching methods
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14402
        </catValu>
        <labl>
          Pedagogical of mathematics
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14403
        </catValu>
        <labl>
          Pedagogical of Arabic language
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14404
        </catValu>
        <labl>
          Pedagogical of English language
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14405
        </catValu>
        <labl>
          Pedagogical of Islamic education
        </labl>
        <catStat type="freq">
          178
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          185.513
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14406
        </catValu>
        <labl>
          Pedagogical of sport education
        </labl>
        <catStat type="freq">
          258
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          242.417
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14407
        </catValu>
        <labl>
          Pedagogical of social education
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14501
        </catValu>
        <labl>
          Teacher training /vocational education
        </labl>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          171.55
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14502
        </catValu>
        <labl>
          Vocational teacher training/industrial
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14503
        </catValu>
        <labl>
          Vocational trainer training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14504
        </catValu>
        <labl>
          Nursing trainer training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14505
        </catValu>
        <labl>
          Vocational/commerce teacher training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14506
        </catValu>
        <labl>
          Vocational/agriculture teacher training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14507
        </catValu>
        <labl>
          Vocational teacher training/hotel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14508
        </catValu>
        <labl>
          Drama
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14509
        </catValu>
        <labl>
          Driving trainer training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14510
        </catValu>
        <labl>
          Music trainer training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
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          History of art
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          Plastic arts
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          Philosophy of art
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          Islamic arts
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          Musical composition
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          Eurhythmics
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          History of cinema and theatre
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          Music
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          Theatre
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          Theatre directing
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          Bookbinding
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          T.V filming
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          Computer Composting
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          Printing films production
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          Graphic design
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          Graphic reproduction
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          Media techniques
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          Multimedia production
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          Photography
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          Printing layout
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          Printing
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          TV montage
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          T.V production
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          T.V arts
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          Musical production
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          0
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          Sound technique
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          Silk screen printing
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          0
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          Offset printing
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          0
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          Typo printing
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          Flexography printing
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          Fashion modelling clothing
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          Industrial design (artistic)
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          Fashion modelling
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          Interior decorating
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          Stage designing
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          Exhibitions designing
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          Ceramic Works of inherited arts
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          Crafts of folk and inherited arts
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          Decorative metal crafts
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          Embroidery (craft)
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          0
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          Floristry (flower arranging)
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          0
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          0
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          Glass arts and craft
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          0
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          Woodcarving
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          0
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          0
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          Jewelers design
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          Silversmithing
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          0
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          Making of musical instruments (not industrial)
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          0
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          Musical instruments (repairing and tuning)
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          0
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          0
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          Leather crafts
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          0
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          0
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          Artificial works
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          0
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          0
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          Mosaic
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          Handcrafts works
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          0
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          0
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          Weaving (craft)
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          0
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          0
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          Copper crafts
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          0
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          0
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          Ceramics work
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        <catStat wgtd="wgtd" type="freq">
          3.609
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          Gypsum works
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          0
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          0
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          Islamic arts craft
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          0
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          0
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          Fundamentals of religion studies
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          Islamic jurisprudence and its origins
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          22103
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          Islamic studies
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          Economic &amp; Islamic banking
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          Guidance and advice
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          Islamic judiciary
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          1
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          Sharia &amp; law
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      <catgry>
        <catValu>
          22108
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        <labl>
          Comparative Fiqh (Jurisprudence)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22109
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        <labl>
          Comparative Religion
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22110
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        <labl>
          Theology
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22111
        </catValu>
        <labl>
          Jewish Religion Science
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22112
        </catValu>
        <labl>
          Islamic Creed
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.619
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22113
        </catValu>
        <labl>
          Preaching and fundamentals of religion
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22114
        </catValu>
        <labl>
          Sharia/Quranic Sciences
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22115
        </catValu>
        <labl>
          Sharia/Hadith and its Sciences
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22116
        </catValu>
        <labl>
          Sharia sciences
        </labl>
        <catStat type="freq">
          800
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          801.783
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      </catgry>
      <catgry>
        <catValu>
          22117
        </catValu>
        <labl>
          Quran readings
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.278
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22201
        </catValu>
        <labl>
          Semitic and east language/Hebrew
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22202
        </catValu>
        <labl>
          Semitic and east language/Persian
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22203
        </catValu>
        <labl>
          English language
        </labl>
        <catStat type="freq">
          1551
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1668.741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22204
        </catValu>
        <labl>
          French language
        </labl>
        <catStat type="freq">
          14
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22.444
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22205
        </catValu>
        <labl>
          Spanish/Dutch language
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22206
        </catValu>
        <labl>
          Italian/English language
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22207
        </catValu>
        <labl>
          Spanish/English language
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22208
        </catValu>
        <labl>
          Translation
        </labl>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          115.572
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      </catgry>
      <catgry>
        <catValu>
          22209
        </catValu>
        <labl>
          Instant/immediate translation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22210
        </catValu>
        <labl>
          Foreign language
        </labl>
        <catStat type="freq">
          114
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          167.41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22301
        </catValu>
        <labl>
          Arabic language &amp; literature
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.511
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      </catgry>
      <catgry>
        <catValu>
          22302
        </catValu>
        <labl>
          Arabic language
        </labl>
        <catStat type="freq">
          1506
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1548.903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22303
        </catValu>
        <labl>
          Applied Arabic language
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22304
        </catValu>
        <labl>
          Linguistics
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22305
        </catValu>
        <labl>
          Grammar &amp;morphology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22306
        </catValu>
        <labl>
          Literature &amp; criticism
        </labl>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          85.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22307
        </catValu>
        <labl>
          Literature &amp; culture studies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22401
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        <labl>
          History
        </labl>
        <catStat type="freq">
          276
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          254.88
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      </catgry>
      <catgry>
        <catValu>
          22402
        </catValu>
        <labl>
          Islamic history
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22403
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        <labl>
          Political history
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22404
        </catValu>
        <labl>
          Economic history
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22405
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        <labl>
          Literature history
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22406
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        <labl>
          History of science
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22407
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        <labl>
          Modern history
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22408
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        <labl>
          Ancient history
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22409
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        <labl>
          Archaeology
        </labl>
        <catStat type="freq">
          61
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          54.6
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      </catgry>
      <catgry>
        <catValu>
          22410
        </catValu>
        <labl>
          Archaeology tourism
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          22411
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        <labl>
          Conservation of archaeology science
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          22412
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        <labl>
          Maintenance and managing of heritage resources
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        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.101
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        <catValu>
          22413
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        <labl>
          Anthropology
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        <catStat type="freq">
          2
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        <catStat wgtd="wgtd" type="freq">
          1.494
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        <catValu>
          22414
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        <labl>
          Cultural history
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          22501
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          Philosophy
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          12
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        <catValu>
          22502
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          Morals
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          0
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          0
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        <catValu>
          22503
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          Study of logic
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          3
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        <catValu>
          31101
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          Psychology
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          139
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          159.553
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        <catValu>
          31102
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          Analytical psychology
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          0
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          0
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        <catValu>
          31103
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          Clinical Psychology
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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          31104
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          Educational psychology
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          5
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        <catValu>
          31105
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          Counselling psychology
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          20.962
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        <catValu>
          31106
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          Evaluation and measurement
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          0
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          0
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          Social psychology
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          0
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          0
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          31108
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          Industrial/organization psychology
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          0
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          0
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          31109
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          Mental health
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          23
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        <catStat wgtd="wgtd" type="freq">
          19.919
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        <catValu>
          31201
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          Sociology
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          157
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
          31202
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          Social anthropology
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          0
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          0
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          31203
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          Ethnology
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          31204
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          Human geography
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          31205
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          Demography/population studies
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          5
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        <catStat wgtd="wgtd" type="freq">
          4.422
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        <catValu>
          31206
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          Cultural geography
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          0
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          0
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          31207
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          Women studies
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          1
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        <catStat wgtd="wgtd" type="freq">
          0.904
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        <catValu>
          31208
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          Cultural studies
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          1
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          0.892
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        <catValu>
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          Anthropology
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          Other unspecified in sociology and cultural studies
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          146
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        <catStat wgtd="wgtd" type="freq">
          121.712
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        <catValu>
          31301
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          Political science
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          217
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          296.092
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        <catValu>
          31302
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          Political history
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          31303
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          Peace and conflict studies
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        <catStat type="freq">
          1
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        <catStat wgtd="wgtd" type="freq">
          0.526
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          31304
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          International relations
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          8
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          8.198
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          31305
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          Civics
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          0
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          0
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          Human rights
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          1
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          0.526
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          International relations &amp; strategic studies
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          31401
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          Economic history
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          31403
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          Political economy
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          0
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          0
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          Agriculture economy
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          1
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          Journalism
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          135.378
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          32102
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          Broadcast journalism
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          0
        </catStat>
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          32103
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        <labl>
          TV journalism
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          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          32104
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        <labl>
          Newspaper reporting
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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      </catgry>
      <catgry>
        <catValu>
          32105
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        <labl>
          News reporting
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32106
        </catValu>
        <labl>
          Information reporting
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32107
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        <labl>
          Newspaper editing
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      </catgry>
      <catgry>
        <catValu>
          32108
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        <labl>
          Information
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          3
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        <catStat wgtd="wgtd" type="freq">
          3.67
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      <catgry>
        <catValu>
          32109
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        <labl>
          Mass communication
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      </catgry>
      <catgry>
        <catValu>
          32201
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        <labl>
          Archival sciences
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          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.967
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      </catgry>
      <catgry>
        <catValu>
          32202
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        <labl>
          Documentation
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          32203
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        <labl>
          Indexing &amp; classification
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          32204
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        <labl>
          Museum documentation
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      </catgry>
      <catgry>
        <catValu>
          32205
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        <labl>
          Information science
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32206
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        <labl>
          Library programs
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          224
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          191.316
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      <catgry>
        <catValu>
          34101
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        <labl>
          Consumer services
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34102
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        <labl>
          Technical show
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      </catgry>
      <catgry>
        <catValu>
          34103
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        <labl>
          Buying
        </labl>
        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      </catgry>
      <catgry>
        <catValu>
          34104
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        <labl>
          Retail
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34105
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        <labl>
          Sales
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34106
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        <labl>
          Demonstration techniques
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34107
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        <labl>
          Sales and marketing
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34201
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        <labl>
          Advertising
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34202
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        <labl>
          Market research
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34203
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        <labl>
          Marketing
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        <catStat type="freq">
          145
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        <catStat wgtd="wgtd" type="freq">
          186.773
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      <catgry>
        <catValu>
          34204
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        <labl>
          Promotion
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34205
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        <labl>
          Public relations
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          41
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        <catStat wgtd="wgtd" type="freq">
          47.355
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      <catgry>
        <catValu>
          34301
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        <labl>
          Banking and finance
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34302
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        <labl>
          Banking science
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34303
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        <labl>
          Insurance
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        <catStat type="freq">
          1
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        <catStat wgtd="wgtd" type="freq">
          0.647
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      <catgry>
        <catValu>
          34304
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        <labl>
          Financial management
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        <catStat type="freq">
          3
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        <catStat wgtd="wgtd" type="freq">
          6.087
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      </catgry>
      <catgry>
        <catValu>
          34305
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        <labl>
          Investment analysis
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          34306
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        <labl>
          Pension insurance
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          34307
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        <labl>
          Social insurance
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          34308
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        <labl>
          Stock-broking
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          34309
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        <labl>
          Financing
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        <catStat type="freq">
          4
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        <catStat wgtd="wgtd" type="freq">
          8.159
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      <catgry>
        <catValu>
          34310
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        <labl>
          Exchange markets
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          1
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        <catStat wgtd="wgtd" type="freq">
          0.526
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      <catgry>
        <catValu>
          34311
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        <labl>
          Islamic banking
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        <catStat type="freq">
          2
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        <catStat wgtd="wgtd" type="freq">
          1.397
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      <catgry>
        <catValu>
          34312
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        <labl>
          Economic &amp; business
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          2
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          2.044
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      <catgry>
        <catValu>
          34313
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        <labl>
          Banking and finance science
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          514
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        <catStat wgtd="wgtd" type="freq">
          635.188
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      <catgry>
        <catValu>
          34314
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          Insurance management
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        <catStat type="freq">
          2
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          5.624
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      <catgry>
        <catValu>
          34315
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          Islamic banking and finance studies
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          1
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          1.255
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      <catgry>
        <catValu>
          34316
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          Other unspecified in finance, banking, insurance
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          190
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          34317
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          Other unspecified in finance, banking, insurance
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          1
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          34401
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          Accounting
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          Auditing
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          1
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          0.511
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        <catValu>
          34403
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          Book keeping
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          0
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          0
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          34404
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          Tax accounting
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          0
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          0
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          34405
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          Cost accounting
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          0
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          0
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          34406
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          Costing techniques
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          0
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          0
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          Conceptual accounting &amp; financial organization
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          0
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          0
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          34501
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          Public administration
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          198
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          Business administration
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          34503
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          International business administration
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          0
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          0
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          34504
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          Insurance &amp; risks management
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          13
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          16.465
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          34505
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          Museum and heritage administration
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          0
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          0
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          Hotels management
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          56
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          34507
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          Libraries management &amp; information
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          12
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          34508
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          Water resources &amp; environment management
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          0
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          0
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          Business administration &amp; economic
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          0
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          0
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          34510
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          Projects management
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          0
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          0
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          34511
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          Human resources management
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          3
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          5.011
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          Educational management
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          60
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          34513
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          Training management
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          0
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          0
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          Office management
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          4
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        <catStat wgtd="wgtd" type="freq">
          5.319
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          Recruitment
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          0
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          0
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          34516
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          Enterprise management
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          5
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        <catStat wgtd="wgtd" type="freq">
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          34517
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          Higher management
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          0
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          0
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          Supply management
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          0
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          0
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          Storehouses management
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          9
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          Other unspecified in management and administration
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          2
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        <catStat wgtd="wgtd" type="freq">
          2.122
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          Secretary &amp; typing
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          1
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          1.104
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          Secretary
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          Typing
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          2
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          Reception &amp; information
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          0
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          0
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          Medical secretary
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          0
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          0
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          Business correspondence
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          0
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          0
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          Information processing/data entry
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          0
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          0
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          Microbiology
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        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46109
        </catValu>
        <labl>
          Mathematics and statistics
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46201
        </catValu>
        <labl>
          Actuarial science
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.322
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46202
        </catValu>
        <labl>
          Mathematical (theoretical) statistics
        </labl>
        <catStat type="freq">
          60
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          83.396
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46203
        </catValu>
        <labl>
          Probability theory
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46204
        </catValu>
        <labl>
          Applied Statistics
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46205
        </catValu>
        <labl>
          Survey design
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          46206
        </catValu>
        <labl>
          Survey sampling
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48101
        </catValu>
        <labl>
          Computer programming
        </labl>
        <catStat type="freq">
          236
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          247.953
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48102
        </catValu>
        <labl>
          Computer science
        </labl>
        <catStat type="freq">
          731
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          858.512
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48103
        </catValu>
        <labl>
          Computer system analysis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48104
        </catValu>
        <labl>
          Computer system design
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48105
        </catValu>
        <labl>
          Network administration
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48106
        </catValu>
        <labl>
          Informatics (computer science)
        </labl>
        <catStat type="freq">
          87
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89.305
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48107
        </catValu>
        <labl>
          Operating systems
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48108
        </catValu>
        <labl>
          Programming languages
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48109
        </catValu>
        <labl>
          Management information system
        </labl>
        <catStat type="freq">
          494
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          533.286
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48110
        </catValu>
        <labl>
          Information technology
        </labl>
        <catStat type="freq">
          221
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          227.372
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48111
        </catValu>
        <labl>
          Management information systems
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48112
        </catValu>
        <labl>
          Applied computer science
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48113
        </catValu>
        <labl>
          Software engineering
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.397
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      </catgry>
      <catgry>
        <catValu>
          48114
        </catValu>
        <labl>
          Educational computing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48115
        </catValu>
        <labl>
          Computer systems engineering
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48116
        </catValu>
        <labl>
          Accountant information systems
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.645
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48201
        </catValu>
        <labl>
          Computer software use
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48202
        </catValu>
        <labl>
          Software for calculating (spreadsheets)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48203
        </catValu>
        <labl>
          Software for data processing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48204
        </catValu>
        <labl>
          Software for desktop publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48205
        </catValu>
        <labl>
          Software for word processing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          48206
        </catValu>
        <labl>
          Internet usage programs
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52101
        </catValu>
        <labl>
          Mechanical engineering/general
        </labl>
        <catStat type="freq">
          227
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          289.117
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52102
        </catValu>
        <labl>
          Mechanical engineering/production
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.355
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      </catgry>
      <catgry>
        <catValu>
          52103
        </catValu>
        <labl>
          Mechanical engineering/production materials
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52104
        </catValu>
        <labl>
          Mechanical engineering/hydraulics
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52105
        </catValu>
        <labl>
          Mechanical engineering/air-conditioning
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52106
        </catValu>
        <labl>
          Mechanical engineering/heating
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52107
        </catValu>
        <labl>
          Mechanical engineering/air-conditioning and sanitation exten
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52108
        </catValu>
        <labl>
          Mechanical engineering/general maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52109
        </catValu>
        <labl>
          Heat treatment technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52110
        </catValu>
        <labl>
          Heating, cooling &amp; conditioning systems
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          95.004
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      </catgry>
      <catgry>
        <catValu>
          52111
        </catValu>
        <labl>
          Production technology
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52112
        </catValu>
        <labl>
          Welding technology
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.075
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      </catgry>
      <catgry>
        <catValu>
          52113
        </catValu>
        <labl>
          Turning technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52114
        </catValu>
        <labl>
          Metal casting
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52115
        </catValu>
        <labl>
          Operating machines
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52116
        </catValu>
        <labl>
          Turning &amp; filing
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52117
        </catValu>
        <labl>
          Metal fabrication &amp; blacksmith works
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52118
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        <labl>
          Sheet metal works
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52119
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        <labl>
          Sheet metal fabrication
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52120
        </catValu>
        <labl>
          Metal construction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52121
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        <labl>
          Welding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52122
        </catValu>
        <labl>
          Mold industry
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52123
        </catValu>
        <labl>
          Metal forging &amp; casting
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52124
        </catValu>
        <labl>
          Metal fabrication by roll forging &amp; drawing
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52125
        </catValu>
        <labl>
          Welding &amp; black smith works
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.186
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      </catgry>
      <catgry>
        <catValu>
          52126
        </catValu>
        <labl>
          Cooling &amp; air conditioning appliances maintenance
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52127
        </catValu>
        <labl>
          Central heating &amp;sanitary system
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52128
        </catValu>
        <labl>
          Building blacksmith/steel &amp; aluminum
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52129
        </catValu>
        <labl>
          Mechanical design
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52130
        </catValu>
        <labl>
          Engineering drawing/mechanical
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52131
        </catValu>
        <labl>
          Other unspecified in mechanics and metal work
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18.978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52201
        </catValu>
        <labl>
          Electrical engineering/General
        </labl>
        <catStat type="freq">
          200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          283.383
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      </catgry>
      <catgry>
        <catValu>
          52202
        </catValu>
        <labl>
          Electrical engineering/Power
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.137
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      </catgry>
      <catgry>
        <catValu>
          52203
        </catValu>
        <labl>
          Electrical engineering/Power production
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52204
        </catValu>
        <labl>
          Electrical engineering/power-transmission &amp; distribution
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52205
        </catValu>
        <labl>
          Electrical engineering/power-domestic
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52206
        </catValu>
        <labl>
          Electrical engineering/general electrical maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52207
        </catValu>
        <labl>
          Electrical engineering/control
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52208
        </catValu>
        <labl>
          Electrical machines maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52209
        </catValu>
        <labl>
          General electrical maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52210
        </catValu>
        <labl>
          General electrical wiring
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52211
        </catValu>
        <labl>
          Domestic electrical wiring
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52212
        </catValu>
        <labl>
          Industrial electrical wiring
        </labl>
        <catStat type="freq">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          176.43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52213
        </catValu>
        <labl>
          Domestic electrical appliances maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          52214
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        <labl>
          Automotive electrician
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52215
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        <labl>
          Measurement &amp; control
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
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      <catgry>
        <catValu>
          52216
        </catValu>
        <labl>
          Customers services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52217
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        <labl>
          Electrical generating stations/operation &amp; maintenance
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.074
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      </catgry>
      <catgry>
        <catValu>
          52218
        </catValu>
        <labl>
          Electrical lines/transmission &amp; distribution
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52219
        </catValu>
        <labl>
          Electrical cables/transmission &amp; distribution
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52220
        </catValu>
        <labl>
          Electrical substation/installation &amp; maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52221
        </catValu>
        <labl>
          Engineering drawing/electrical
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52222
        </catValu>
        <labl>
          Electrical systems for airports
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52223
        </catValu>
        <labl>
          Electrical power systems
        </labl>
        <catStat type="freq">
          126
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          148.848
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52224
        </catValu>
        <labl>
          Electrical grounding systems
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52225
        </catValu>
        <labl>
          Electrical systems &amp; instrumentation for airplanes
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52301
        </catValu>
        <labl>
          Electronic engineering
        </labl>
        <catStat type="freq">
          84
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109.982
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      </catgry>
      <catgry>
        <catValu>
          52302
        </catValu>
        <labl>
          Electronic engineering/Control
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52303
        </catValu>
        <labl>
          Electronic engineering/Radio broadcast
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52304
        </catValu>
        <labl>
          Electronic engineering/telecast
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.387
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      <catgry>
        <catValu>
          52305
        </catValu>
        <labl>
          Electronic engineering/medical equipment
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.856
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52306
        </catValu>
        <labl>
          Computer engineering
        </labl>
        <catStat type="freq">
          227
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          270.284
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      </catgry>
      <catgry>
        <catValu>
          52307
        </catValu>
        <labl>
          Telecommunication engineering/systems
        </labl>
        <catStat type="freq">
          121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132.346
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      </catgry>
      <catgry>
        <catValu>
          52308
        </catValu>
        <labl>
          Telecommunication engineering/installing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52309
        </catValu>
        <labl>
          Telecommunication engineering/communication equipment mainte
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52310
        </catValu>
        <labl>
          Data processing technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52311
        </catValu>
        <labl>
          Digital technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52312
        </catValu>
        <labl>
          Network technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52313
        </catValu>
        <labl>
          Telecommunication technology
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46.704
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      </catgry>
      <catgry>
        <catValu>
          52314
        </catValu>
        <labl>
          TV &amp; Radio maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52315
        </catValu>
        <labl>
          Office machines maintenance
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.279
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52316
        </catValu>
        <labl>
          Medical equipment’s maintenance
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.366
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52317
        </catValu>
        <labl>
          Computer maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52318
        </catValu>
        <labl>
          Measuring &amp; control equipment maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52319
        </catValu>
        <labl>
          Mechatronics engineering
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13.008
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      </catgry>
      <catgry>
        <catValu>
          52320
        </catValu>
        <labl>
          Autotronics engineering
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52321
        </catValu>
        <labl>
          Engineering drawing/electronics
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52322
        </catValu>
        <labl>
          Aviation electronics and guided weapons
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52323
        </catValu>
        <labl>
          Precision equipment technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52324
        </catValu>
        <labl>
          Aeronautic communication engineering
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52325
        </catValu>
        <labl>
          Industrial electronics
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          51.867
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52401
        </catValu>
        <labl>
          Chemical engineering
        </labl>
        <catStat type="freq">
          120
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          133.754
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52402
        </catValu>
        <labl>
          Chemical process engineering
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52403
        </catValu>
        <labl>
          Chemical engineering/environment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52404
        </catValu>
        <labl>
          Bio-medical engineering
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.899
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52405
        </catValu>
        <labl>
          Medical engineering
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44.788
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52406
        </catValu>
        <labl>
          Petrochemicals technology
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.806
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      </catgry>
      <catgry>
        <catValu>
          52407
        </catValu>
        <labl>
          Oil and gas engineering
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.668
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      </catgry>
      <catgry>
        <catValu>
          52408
        </catValu>
        <labl>
          Chemical industrial engineering
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52409
        </catValu>
        <labl>
          Chemical processing technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52410
        </catValu>
        <labl>
          Petrol refinery operation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52411
        </catValu>
        <labl>
          Detergents industry
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52501
        </catValu>
        <labl>
          Mechanical engineering/thermal power &amp;energy
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52502
        </catValu>
        <labl>
          Thermal &amp;hydraulic machines engineering
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52503
        </catValu>
        <labl>
          Aircraft maintenance
        </labl>
        <catStat type="freq">
          61
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          73.445
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52504
        </catValu>
        <labl>
          Aircraft engines maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52505
        </catValu>
        <labl>
          Turbine engines maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52506
        </catValu>
        <labl>
          Ship engines maintenance
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10.093
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52507
        </catValu>
        <labl>
          Train engines maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52508
        </catValu>
        <labl>
          Automotive maintenance
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52509
        </catValu>
        <labl>
          Light vehicle industry
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          102.028
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52510
        </catValu>
        <labl>
          Trucks &amp; buses maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52511
        </catValu>
        <labl>
          Heavy duty equipment maintenance
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.613
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52512
        </catValu>
        <labl>
          Agricultural equipment’s maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52513
        </catValu>
        <labl>
          Engines maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52514
        </catValu>
        <labl>
          Automotive bodies maintenance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52515
        </catValu>
        <labl>
          Destructive inspection technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52516
        </catValu>
        <labl>
          Air-craft frames
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52517
        </catValu>
        <labl>
          Air weapons (maintenance)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52601
        </catValu>
        <labl>
          Industrial engineering
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          70.181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52602
        </catValu>
        <labl>
          Industrial engineering/manufactories planning
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52603
        </catValu>
        <labl>
          Quality assurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52604
        </catValu>
        <labl>
          Production management
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.813
        </catStat>
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      <catgry>
        <catValu>
          52605
        </catValu>
        <labl>
          Maintenance planning &amp; management
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52606
        </catValu>
        <labl>
          Training supervisors in occupational safety
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52607
        </catValu>
        <labl>
          Store control
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54101
        </catValu>
        <labl>
          Nutrition and food industries
        </labl>
        <catStat type="freq">
          119
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          120.578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54102
        </catValu>
        <labl>
          Food science and technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54103
        </catValu>
        <labl>
          Food technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54104
        </catValu>
        <labl>
          Industrial foods
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54105
        </catValu>
        <labl>
          Dairy processing (industrial)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
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          54106
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          Bakeries &amp; Pastry
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          0
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          Pastry &amp; confectionery
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          0
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          0
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          54108
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          Food preservation
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54109
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        <labl>
          Confectionery
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54201
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          Textile spinning technology
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          54202
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        <labl>
          Textile industries technology
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          1
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        <catStat wgtd="wgtd" type="freq">
          1.249
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        <catValu>
          54203
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          Dresses industries technology
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          0
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          0
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          54204
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        <labl>
          Shoes industries technology
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          0
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          0
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          54205
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        <labl>
          Spinning
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54206
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        <labl>
          Textile
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          1
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
          54207
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        <labl>
          Sewing (industrial)
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54208
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        <labl>
          Industrial knitting
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          54209
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        <labl>
          Embroider with machine
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54210
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        <labl>
          Leather goods production
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          54211
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        <labl>
          Shoemaking
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54301
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        <labl>
          Carpentry &amp; decoration
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        <catStat type="freq">
          2
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        <catStat wgtd="wgtd" type="freq">
          5.099
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      <catgry>
        <catValu>
          54302
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        <labl>
          Carpentry
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          3
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        <catStat wgtd="wgtd" type="freq">
          7.084
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      <catgry>
        <catValu>
          54303
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        <labl>
          Furniture carpentry
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54304
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        <labl>
          Upholstery
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54305
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        <labl>
          Building carpentry
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54306
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        <labl>
          Paper products manufacturing
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54307
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        <labl>
          Plastic products manufacturing
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54308
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          Glass products manufacturing
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54309
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          Ceramic products manufacturing
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          0
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          0
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        <catValu>
          54310
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        <labl>
          Stone cutting
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54311
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        <labl>
          Tiles manufacturing
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          0
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          0
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        <catValu>
          54312
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        <labl>
          Bricks manufacturing
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54313
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          Detergents industry
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54314
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        <labl>
          Plastics industry
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54315
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        <labl>
          Paints industry
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54401
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        <labl>
          Mining engineering
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          1
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        <catStat wgtd="wgtd" type="freq">
          1.674
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      <catgry>
        <catValu>
          54402
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        <labl>
          Mining engineering
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          9
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        <catStat wgtd="wgtd" type="freq">
          8.483
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      <catgry>
        <catValu>
          54403
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        <labl>
          Mining technology
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54404
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        <labl>
          Oil and gas extraction
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        <catStat type="freq">
          3
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        <catStat wgtd="wgtd" type="freq">
          4.013
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      <catgry>
        <catValu>
          54405
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        <labl>
          Raw material extraction technology
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          54406
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        <labl>
          Mining
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          58101
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        <labl>
          Architecture
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          157
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        <catStat wgtd="wgtd" type="freq">
          219.394
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        <catValu>
          58102
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        <labl>
          Architecture/interior planning
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          58103
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        <labl>
          Architecture/regional planning
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        <catStat type="freq">
          5
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        <catStat wgtd="wgtd" type="freq">
          5.124
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        <catValu>
          58104
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        <labl>
          Architecture/traffic planning
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          58105
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          Architecture engineering/landscape
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          0
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          0
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          58106
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          Architecture engineering/city planning
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          0
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          0
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          58107
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        <labl>
          Surveying engineering
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          44
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          51.344
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          58108
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          Land surveying
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          84
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        <catValu>
          58109
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          Photogrammetry and cartography
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          0
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          0
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        <catValu>
          58110
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          Architecture drawing
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          21
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        <catStat wgtd="wgtd" type="freq">
          25.747
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        <catValu>
          58201
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          Civil engineering
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          329
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        <catStat wgtd="wgtd" type="freq">
          417.975
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        <catValu>
          58202
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          Construction engineering
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          0
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          0
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          58203
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          Building engineering
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          2
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        <catStat wgtd="wgtd" type="freq">
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        <catValu>
          58204
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          Civil engineering/high ways
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          4
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          3.582
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          58205
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          Civil engineering/airport
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          0
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          0
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          58206
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          Dock and harbor engineering
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          0
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          0
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          58207
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          Civil engineering/dams
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          0
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          0
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          58208
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          Water supply and sewerage engineering
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          2
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          58209
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          Civil engineering/private construction
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          0
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          0
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          58210
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          Civil engineering/soil mechanics &amp; construction material
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          0
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          0
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          58211
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          Quantity calculations
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          1
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          1.387
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          58212
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          Construction technology
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          0
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          0
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          Buildings constructions
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          2
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        <catStat wgtd="wgtd" type="freq">
          8.221
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        <catValu>
          58214
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          Roads constructions
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          1
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        <catStat wgtd="wgtd" type="freq">
          1.383
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          58215
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          Stone construction
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          0
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          0
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          58216
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          Brick construction
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          0
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          0
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          58217
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          Construction buildings
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          0
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          0
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          58218
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          Building smithery
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          0
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          0
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          58219
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          Carpentry buildings
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          0
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          0
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          58220
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          Bleaching
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          0
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          0
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          58221
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          Tiling
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          0
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          0
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          58222
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          Panting
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          0
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          0
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          Engineering drawing /construction
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          0
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          0
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          Agricultural
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          Crop and pomology
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          0
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          0
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          62103
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          Crop protection
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          0
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          0
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          62104
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          Agricultural economics and agribusiness
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          0
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          0
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          62105
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          Crop production
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          62106
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          Soil, water and environment
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          0
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          0
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          62107
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          Bio-auricular technology
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          0
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          0
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          Agriculture extension
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62109
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        <labl>
          Protected crops
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        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62110
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        <labl>
          Nursery
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62111
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        <labl>
          Floriculture
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          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62112
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        <labl>
          Agriculture engineer
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          242
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        <catStat wgtd="wgtd" type="freq">
          239.483
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      <catgry>
        <catValu>
          62201
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        <labl>
          Animal production
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          5
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        <catStat wgtd="wgtd" type="freq">
          2.927
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      <catgry>
        <catValu>
          62202
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        <labl>
          Raising cattle
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62203
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        <labl>
          Poultry raising
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62204
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        <labl>
          Bee keeping
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62301
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          Pastures and forests
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          62302
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        <labl>
          Pastures
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          62303
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        <labl>
          Forestry
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          1
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        <catStat wgtd="wgtd" type="freq">
          1.084
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        <catValu>
          62304
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        <labl>
          Forest seedling production
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          62401
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        <labl>
          Marine life
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62402
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        <labl>
          Fish raising
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62403
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        <labl>
          Fish catching
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          62404
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        <labl>
          Aquarium raising
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          64101
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        <labl>
          Veterinary
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        <catStat type="freq">
          22
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        <catStat wgtd="wgtd" type="freq">
          15.549
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      <catgry>
        <catValu>
          64102
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        <labl>
          Veterinary/health
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          64103
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        <labl>
          Veterinary/surgery
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          64201
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        <labl>
          Veterinary assisting
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          64202
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        <labl>
          Animal health care
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          64203
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        <labl>
          Animal health care/vaccination
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          64204
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        <labl>
          Animal reproduction (science)
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          64205
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        <labl>
          Veterinary nursery
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          72101
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        <labl>
          Medicine
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          35
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        <catStat wgtd="wgtd" type="freq">
          41.435
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      <catgry>
        <catValu>
          72102
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        <labl>
          Medicine &amp; surgery
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          56
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        <catStat wgtd="wgtd" type="freq">
          75.625
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      <catgry>
        <catValu>
          72103
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        <labl>
          General medicine
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          149
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        <catStat wgtd="wgtd" type="freq">
          192.851
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      <catgry>
        <catValu>
          72104
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        <labl>
          Pediatrics
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          9
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        <catStat wgtd="wgtd" type="freq">
          9.371
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      <catgry>
        <catValu>
          72105
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        <labl>
          Obstetrics and gynecology
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          3
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        <catStat wgtd="wgtd" type="freq">
          2.765
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      <catgry>
        <catValu>
          72106
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        <labl>
          Internal medicine
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        <catStat type="freq">
          4
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        <catStat wgtd="wgtd" type="freq">
          7.488
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      <catgry>
        <catValu>
          72107
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          Medicine/physical medicine
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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        <catValu>
          72108
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        <labl>
          Medicine/physio therapy
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          72109
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        <labl>
          Urology
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          72110
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        <labl>
          Ophthalmology
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        <catStat type="freq">
          8
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        <catStat wgtd="wgtd" type="freq">
          16.954
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      <catgry>
        <catValu>
          72111
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        <labl>
          Ear, Nose, and Throat
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        <catStat type="freq">
          5
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        <catStat wgtd="wgtd" type="freq">
          6.578
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      <catgry>
        <catValu>
          72112
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        <labl>
          Internal medicine
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
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          72113
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        <labl>
          Hematology
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          72114
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        <labl>
          Nuclear Medicine
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        <catStat type="freq">
          0
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        <catStat wgtd="wgtd" type="freq">
          0
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      <catgry>
        <catValu>
          72115
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        <labl>
          Cardiology
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          1
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        <catStat wgtd="wgtd" type="freq">
          0.413
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      <catgry>
        <catValu>
          72116
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        <labl>
          Orthopedic
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          4
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        <catStat wgtd="wgtd" type="freq">
          8.335
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      <catgry>
        <catValu>
          72117
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        <labl>
          Neurology
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          0
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          0
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          72118
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          General Surgery
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          0
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          0
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          72119
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          Cardiovascular
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          0
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          0
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          72120
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          Neurosurgery
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          2
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          72121
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          Surgery/Urology
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          0
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          0
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          72122
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          Gastroenterology surgery
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          0
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          0
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          72123
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          Reconstruction surgery
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          0
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          0
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          Other unspecified in medicine
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          3
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        <catStat wgtd="wgtd" type="freq">
          3.071
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        <catValu>
          72125
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          Other unspecified in medicine
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          8
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        <catStat wgtd="wgtd" type="freq">
          17.051
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        <catValu>
          72201
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          Registered nurse
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          72202
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          Associated degree (nurse)
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          0
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          0
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          72203
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          Practical nursing
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          0
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          0
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          72204
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          Midwifery
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          41
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          45.937
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          72205
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          Nursing/surgery
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          0
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          0
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          72206
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          Mother craft nursing
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          0
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          0
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          72207
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          Care of the disabled
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          0
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          0
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          72208
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          ICU intensive care unit
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          5
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        <catStat wgtd="wgtd" type="freq">
          4.542
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          72209
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          Orthopedic
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          1
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        <catStat wgtd="wgtd" type="freq">
          0.608
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          72210
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          Anesthesia &amp; reanimation
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          31
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        <catStat wgtd="wgtd" type="freq">
          30.327
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        <catValu>
          72301
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          Dentistry
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          124
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          152.838
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      <catgry>
        <catValu>
          72302
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          Orthodontics
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          72303
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          Dental technology
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          1
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        <catStat wgtd="wgtd" type="freq">
          0.802
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        <catValu>
          72304
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          Allied dental sciences
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          72305
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          Teeth manufacturing
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          0
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        <catStat wgtd="wgtd" type="freq">
          0
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          72306
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          Dental assisting
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          1
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        <catStat wgtd="wgtd" type="freq">
          1.224
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          72307
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          Dental hygiene
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          7
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          72308
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          Dental laboratory technology
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          37
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        <catStat wgtd="wgtd" type="freq">
          49.343
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        <catValu>
          72401
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          Laboratory
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          1
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        <catStat wgtd="wgtd" type="freq">
          1.288
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          Radiology technique
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          38
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        <catStat wgtd="wgtd" type="freq">
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          72403
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          Optical technology
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          12
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          12.595
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          72404
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          Audible and pronunciation techniques
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          5
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        <catStat wgtd="wgtd" type="freq">
          4.81
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        <catValu>
          72405
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          Medical X ray
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          0
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          0
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          Laboratories analysis
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          0
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          0
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          Medical analysis
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          42
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          54.65
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          Medical laboratories
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        <catStat wgtd="wgtd" type="freq">
          206.331
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72409
        </catValu>
        <labl>
          Optometry and medical glasses
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8.229
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72501
        </catValu>
        <labl>
          Physiotherapy
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72502
        </catValu>
        <labl>
          Vocational rehabilitation
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38.326
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72503
        </catValu>
        <labl>
          Physical rehabilitation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72504
        </catValu>
        <labl>
          Reflexology
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72505
        </catValu>
        <labl>
          Nuclear therapy
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72506
        </catValu>
        <labl>
          Nutrition and dietetics
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72507
        </catValu>
        <labl>
          Clinical nutrition
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72508
        </catValu>
        <labl>
          Artificial limbs manufacturing
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.251
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72509
        </catValu>
        <labl>
          Medical supporting tool manufacturing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72601
        </catValu>
        <labl>
          Pharmacy
        </labl>
        <catStat type="freq">
          187
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          270.484
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72602
        </catValu>
        <labl>
          Pharmacist
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72603
        </catValu>
        <labl>
          Pharmacy assistance
        </labl>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          205.521
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76101
        </catValu>
        <labl>
          Child care
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76102
        </catValu>
        <labl>
          Education and child education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76103
        </catValu>
        <labl>
          Child education
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76104
        </catValu>
        <labl>
          Juvenile care
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76201
        </catValu>
        <labl>
          Social care
        </labl>
        <catStat type="freq">
          100
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75.107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76202
        </catValu>
        <labl>
          Social counselling
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76203
        </catValu>
        <labl>
          Vocational counselling
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76204
        </catValu>
        <labl>
          Vocational guidance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          76205
        </catValu>
        <labl>
          Family counselling
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81101
        </catValu>
        <labl>
          Hotel reception
        </labl>
        <catStat type="freq">
          62
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          81.323
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81102
        </catValu>
        <labl>
          Housekeeping
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81103
        </catValu>
        <labl>
          Hotel housekeeping
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81104
        </catValu>
        <labl>
          Cooking (restaurant and hotel-type)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81105
        </catValu>
        <labl>
          Sweets
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81106
        </catValu>
        <labl>
          Food and hospitality services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81201
        </catValu>
        <labl>
          Ground crew training (airport)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81202
        </catValu>
        <labl>
          Tourism agency training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81203
        </catValu>
        <labl>
          Travel agency training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81204
        </catValu>
        <labl>
          Guiding, tour leading
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81205
        </catValu>
        <labl>
          Tourism services management
        </labl>
        <catStat type="freq">
          111
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          122.701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81301
        </catValu>
        <labl>
          Sport trainer training
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81302
        </catValu>
        <labl>
          Sports instructor training
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81303
        </catValu>
        <labl>
          Physical training (sports)
        </labl>
        <catStat type="freq">
          163
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          147.629
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81401
        </catValu>
        <labl>
          Home economics
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.385
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81402
        </catValu>
        <labl>
          Cooking (home)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81403
        </catValu>
        <labl>
          Laundry and ironing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81404
        </catValu>
        <labl>
          Sewing (home)
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.701
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81405
        </catValu>
        <labl>
          Sewing and manual ornamentation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81501
        </catValu>
        <labl>
          Men barber
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81502
        </catValu>
        <labl>
          Women barber
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81503
        </catValu>
        <labl>
          Body care
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81504
        </catValu>
        <labl>
          Cosmetology
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46.059
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81505
        </catValu>
        <labl>
          Fitness and weight control
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84001
        </catValu>
        <labl>
          Air traffic control
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84002
        </catValu>
        <labl>
          Aviation
        </labl>
        <catStat type="freq">
          78
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          106.343
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84003
        </catValu>
        <labl>
          Flying and navigation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84004
        </catValu>
        <labl>
          Marine sailing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84005
        </catValu>
        <labl>
          Navigation
        </labl>
        <catStat type="freq">
          5
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84006
        </catValu>
        <labl>
          Trains driving
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          84007
        </catValu>
        <labl>
          Vehicle driving
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85101
        </catValu>
        <labl>
          Ecological technology
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85102
        </catValu>
        <labl>
          Ecological pollution control
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85103
        </catValu>
        <labl>
          Noise pollution control
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85201
        </catValu>
        <labl>
          Wildlife management
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85202
        </catValu>
        <labl>
          Nature conservation and parks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85301
        </catValu>
        <labl>
          General health
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47.075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85302
        </catValu>
        <labl>
          Environmental sanitation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          85303
        </catValu>
        <labl>
          Water and sewage water treatment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86101
        </catValu>
        <labl>
          Anti-drugs
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86102
        </catValu>
        <labl>
          Anti forgery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86103
        </catValu>
        <labl>
          Public security
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86104
        </catValu>
        <labl>
          Civil Defense
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86105
        </catValu>
        <labl>
          Policing studies
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.49
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86201
        </catValu>
        <labl>
          Occupational safety
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86202
        </catValu>
        <labl>
          Occupational standards
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86203
        </catValu>
        <labl>
          Occupational health and safety
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86301
        </catValu>
        <labl>
          Military science
        </labl>
        <catStat type="freq">
          143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          153.766
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86302
        </catValu>
        <labl>
          Defense studies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          86303
        </catValu>
        <labl>
          Other unspecified in security services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42.299
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          166889
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          161965.847
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
This variable usually follows a country specific coding classification. Therefore, it is not harmonized across countries, and in some datasets across years.
This variable covers those holding either a below secondary or a secondary certificate or higher. This is country specific information that is always indicated in the variable universe column.


COUNTRY SPECIFIC NOTES
----------------------------------
No certificate specialization was provided in the original data for the vocational secondary graduates (Q210=6).]]>
      </notes>
    </var>
    <var ID="V1695" name="YEDUC" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="66" width="2" RecSegNo="1"/>
      <labl>
        Number of effective years of schooling
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="25"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140156
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142431.929
      </sumStat>
      <sumStat type="invd">
        76452
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74191.438
      </sumStat>
      <txt>
        This is variable should indicate the total number of years of formal schooling successfully completed.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <catStat type="freq">
          10725
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9382.224
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47.838
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <catStat type="freq">
          248
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          236.553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <catStat type="freq">
          720
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          693.129
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <catStat type="freq">
          1665
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1605.203
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <catStat type="freq">
          2268
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2215.727
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <catStat type="freq">
          7442
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7777.784
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <catStat type="freq">
          3437
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3437.205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <catStat type="freq">
          4353
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4359.497
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <catStat type="freq">
          16639
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          17183.656
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <catStat type="freq">
          12110
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11731.353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <catStat type="freq">
          30424
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28723.046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <catStat type="freq">
          14862
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16475.023
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <catStat type="freq">
          2899
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3000.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <catStat type="freq">
          11999
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12962.57
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <catStat type="freq">
          2153
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2335.273
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <catStat type="freq">
          15063
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16632.099
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <catStat type="freq">
          1344
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1573.393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <catStat type="freq">
          1220
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1440.888
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <catStat type="freq">
          153
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.944
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <catStat type="freq">
          185
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          230.125
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          107.647
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <catStat type="freq">
          85
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          99.805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.527
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.877
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.778
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76452
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74191.438
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
If the variable is not available in the original data, it can be generated using the highest level of education attained. However, the number of years of schooling required to complete different education levels is country specific.
If the level of education attained is also not provided, this variable will be missing.
Only the years of schooling successfully completed should be counted. Thus, those repeated should not be taken into consideration while generating this variable.


COUNTRY SPECIFIC NOTES
----------------------------------
The variable indicating the number of years of education successfully completed (Q209) is only provided for those who were enrolled at the time of the survey or ever enrolled (Q208=1 or 2).
The number of years of education was replaced by "0" for those who never attended school (Q208=3).]]>
      </notes>
    </var>
    <var ID="V1696" name="ENROL" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="68" width="2" RecSegNo="1"/>
      <labl>
        Level of schooling presently attending
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Currently enrolled individuals aged 15+
      </universe>
      <sumStat type="vald">
        23387
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        23774.692
      </sumStat>
      <sumStat type="invd">
        193221
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        192848.674
      </sumStat>
      <txt>
        This variable ideally provides information on the level of education in which the individual is enrolled.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lower secondary
        </labl>
        <catStat type="freq">
          907
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          849.735
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Higher secondary- academic
        </labl>
        <catStat type="freq">
          12264
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12000.451
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Higher secondary- technical/vocational
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.779
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Post secondary- technical
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
        <catStat type="freq">
          9825
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10530.847
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Postgraduate
        </labl>
        <catStat type="freq">
          387
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          388.88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          193221
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          192848.674
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The universe of this variable covers the individuals attending school at the time of the survey (ATTSCH=1), and will be coded missing for others.
If the type of secondary school is not specified, it is assumed to be academic (Code 3).
For the surveys in which no distinction is provided between university and post university, they are considered to be university.


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by upgrading the education status (Q210) by 1 level for those who were enrolled at the time of the survey (Q208=1); i.e. if the highest educational level attained is elementary and the individual is still reported to be attending school, he/she should normally be enrolled in the preparatory stage.]]>
      </notes>
    </var>
    <var ID="V1697" name="LFS" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="69" EndPos="70" width="2" RecSegNo="1"/>
      <labl>
        Labor force status in the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        The current labor force status should distinguish between the active (employed or unemployed) and inactive individuals (out of the labor force).
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Active
        </labl>
        <catStat type="freq">
          52273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53421.106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Inactive
        </labl>
        <catStat type="freq">
          87883
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          89010.824
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.642
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Individuals are considered "active" in the labor force if they presently have a job (formal or informal, i.e. are employed) or do not have a job but are actively seeking work (i.e. unemployed). Those unemployed and do not seek a job are considered inactive.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1698" name="MAS" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="71" EndPos="72" width="2" RecSegNo="1"/>
      <labl>
        Main activity status in the reference period [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, which distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others the main activity should attempt to distinguish between pensioners, students, and homemakers.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          45860
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47170.737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          6413
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6250.369
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          46823
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47755.757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          22928
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23370.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          5050
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5053.713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          13082
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12830.983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.642
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
 Unlike LFS, the main distinction in MAS is between “employed” and “not employed.”
- “Employed”: refers to those who, during the reference period, experienced any employment (any type or any extent) - even just one occasional hour of paid work or irregular unpaid family work (ILO definition). 
- “Not Employed”: The rationale is that the individuals do not generally spend their time “being unemployed,” but use the unemployment time to participate in other activities (e.g., attending school or being a housewife). Unemployment will generally be considered the primary activity only if the individual states that unemployment is his/her primary activity (e.g., unemployed and actively searching for a job) or if the individual is registered as unemployed and does not indicate significant participation in any other activity. In these cases, the individuals will be assigned their own category among the “Not Employed.”
Accordingly, "Not Employed" is classified into:
 - Unemployed - individuals who are not employed comprise all who are "not in employment" but "currently available to take up employment" and carry out "activities to 


COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ individuals reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ individuals who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15-18) .]]>
      </notes>
    </var>
    <var ID="V1699" name="MAS_D" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="73" EndPos="75" width="3" RecSegNo="1"/>
      <labl>
        Main activity status in the reference period [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Individuals aged 15+
      </universe>
      <sumStat type="vald">
        140204
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        142494.571
      </sumStat>
      <sumStat type="invd">
        76404
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        74128.795
      </sumStat>
      <txt>
        Main activity status with respect to the labor force, which distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable also distinguishes between different types of employment and unemployment.
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Employed
        </labl>
        <catStat type="freq">
          44874
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46221.091
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Employed but temporary absent from work
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.576
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Sick leave/Ill
        </labl>
        <catStat type="freq">
          50
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Vacation/Official vacation
        </labl>
        <catStat type="freq">
          733
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          681.054
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          113
        </catValu>
        <labl>
          Temporary stoppage of the industry
        </labl>
        <catStat type="freq">
          149
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158.823
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          114
        </catValu>
        <labl>
          Travel
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.375
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          115
        </catValu>
        <labl>
          Strike/Curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Managing own properties
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Employed but temporary unpaid
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Arranges to take up paid/self- employment activity
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Waiting for the start date of an agreed work
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30.265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Waiting to have clients
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Unpaid leave for more than one year
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          135
        </catValu>
        <labl>
          Waiting to go back to previous job
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.932
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Unemployed
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Unemployed ever worked (seeking a job)
        </labl>
        <catStat type="freq">
          3521
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3551.709
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          220
        </catValu>
        <labl>
          Unemployed never worked (seeking a job)
        </labl>
        <catStat type="freq">
          2892
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2698.659
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          230
        </catValu>
        <labl>
          Unemployed (not seeking a job)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Awaiting a recall to a previous job (temporary laid off)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Awaiting work applications/interviews/competitions results
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Unable to issue work permission due to political circumstanc
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Not able to seek a job due to closure/curfew
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          In military service
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Homemaker (Housewife)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Homemaker
        </labl>
        <catStat type="freq">
          46823
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47755.757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Housewife
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Student
        </labl>
        <catStat type="freq">
          22928
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23370.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Pensioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          520
        </catValu>
        <labl>
          Retired
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          530
        </catValu>
        <labl>
          Disabled
        </labl>
        <catStat type="freq">
          5050
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5053.713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          540
        </catValu>
        <labl>
          Unable to work
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          550
        </catValu>
        <labl>
          Old
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          560
        </catValu>
        <labl>
          Disabled/Old/Ill
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          1574
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1642.446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Out of labor force
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Discouraged unemployment
        </labl>
        <catStat type="freq">
          2733
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2401.634
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Not working and not looking for a job
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          8775
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8786.903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          In prison
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          In hospital
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          670
        </catValu>
        <labl>
          Landlord
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          680
        </catValu>
        <labl>
          Family responsibilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          48
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          62.642
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          76404
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74128.795
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Among the employed, the variable should distinguish between those who are actually employed, those who are temporarily absent from work (by reason of absence if available), those managing their own properties and those who are engaged in a job opportunity but are temporarily unpaid.

Similarly, for the unemployed, the variable, if possible, should identify those who have worked before and those who have never worked, in addition to the unemployed who are not seeking a job, with the reason for why the individual is not looking for a job opportunity.

The code 113 indicating temporary stoppage of the industry may also indicate an activity reduction or a temporary closure, which means that the employing entity might not be working in full capacity. This might be due to a lack in the number of customers or to a shortage in demand. In both cases, this should always imply that the individual is still employed (temporarily absent) since he/she is still paid/earn income.

The reasons for which the person is identified to be a discouraged unemployed (Code 620) are reported in detail in the variable (NOTSRCH_R).
 
Discouraged unemployment includes those who are available and want to work but given up on searching for a job because they found no suitable employment options and/or were met with lack of success when applying.

Family responsibilities includes taking caring for children, the incapacitated or elderly.


COUNTRY SPECIFIC NOTES
----------------------------------
For the 15+ individuals reported inactive (students, housewife, with means, etc.), if they are willing to work but not actively searching for a job, and if a reason for not searching is reported, they should be considered "Other" (code 6) in the standardized version, and "Discouraged unemployment" (code 620) in the detailed version.
For other inactive 15+ individuals who are neither willing nor seeking a job, their initial inactivity status is identified in both MAS and MAS_D and reported as the main reason for not searching a job/being inactive in NOTSRCH_R (codes 15-18]]>
      </notes>
    </var>
    <var ID="V1700" name="EMPS" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="77" width="2" RecSegNo="1"/>
      <labl>
        Status of employment in the main job during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <txt>
        Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in the main job, ideally following the ICSE classification (1993)..
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Employee
        </labl>
        <catStat type="freq">
          40019
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          40787.909
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Employer
        </labl>
        <catStat type="freq">
          1813
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2239.674
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Own-account, self-employed
        </labl>
        <catStat type="freq">
          3837
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3938.151
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Contributing (unpaid) family worker
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8.833
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Members of producers cooperatives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Workers not classifiable by status (other)
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          158.973
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.197
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          170748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169452.63
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Definitions are taken from the ILO Classification of Status in Employment with some revisions to take into account the available data.
- Employee includes anyone who works for a public or private employer and whose basic remuneration is not directly dependent on the revenue of the unit they work for, typically remunerated by wages and salaries but may be paid for piece work or in-kind. The payment is based on an explicit (written or oral) or implicit employment contract. The continuous criteria used in the ILO definition is not used here as data are often absent and due to country specificity. Public includes quasi-government organizations.
- Employer is a business owner (whether alone or in partnership) with employees. If the only people working in the business are the owner and contributing family workers, the individual is not considered an employer (as they have no employees) and is, instead classified as own account. Employer is termed as a self-employed worker with hired employees.
- Own account or self-employment: jobs are those where remuneration is directly dependent on the goods and services produced (where home consumption is considered to be part of the profits) and have not engaged any permanent employees to work for them on a continuous basis during the reference period (e.g., freelancer, individual who gives private lessons or apprentices without payment).
- Members of producers’ cooperatives are workers who hold a self-employment job in a cooperative that produces goods and services. In the cooperative, hired workers and these workers have an employment contract that gives them a basic remuneration that does not depend on the revenue of the cooperative. Such workers are defined as employees and the members of the cooperative are considered as self-employed while the cooperative as an institution is defined to be the employer.
- Contributing family workers are those workers who hold a self-employment job in a market-oriented establishment operated by a related individual living in the same household (or in a house located on the same plot of land and has the same household interests) who cannot be regarded as a partner because of their degree of commitment to the operation of the establishment, in terms of working time or other factors, is not at a level comparable to that of the head of the establishment. These workers often receive remuneration in a form of fringe benefits and payments in kind when the business is owned or operated by the individuals themselves or a relative. This category does not include: unpaid voluntary work done for charity or a relative living elsewhere but coming to help with the business without pay in cash or in kind. Relatives who receive any remuneration (including payments in kind) should be classified as employees.
- Workers not classifiable by status (code 6) include those for whom insufficient relevant information is available and/or who cannot be included in any of the preceding categories.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the work status (Q223) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1701" name="OCC" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="78" EndPos="80" width="3" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <txt>
        Standardized occupation classification for the main job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Legislators, senior officials and managers
        </labl>
        <catStat type="freq">
          247
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          268.918
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Professionals
        </labl>
        <catStat type="freq">
          9273
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10025.22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Technicians and associate professionals
        </labl>
        <catStat type="freq">
          2835
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3019.387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerks
        </labl>
        <catStat type="freq">
          2127
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2011.855
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Service workers and shop and market sales workers
        </labl>
        <catStat type="freq">
          14773
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14277.454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Skilled agricultural and fishery workers
        </labl>
        <catStat type="freq">
          1002
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          791.468
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Craft and related trades workers
        </labl>
        <catStat type="freq">
          7434
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8216.792
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Plant and machine operators, and assemblers
        </labl>
        <catStat type="freq">
          4876
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4862.459
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Elementary occupations
        </labl>
        <catStat type="freq">
          3249
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3659.985
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Armed forces
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Other/unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.197
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          170748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169452.63
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1702" name="OCC_ISCO08_3" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="84" width="4" RecSegNo="1"/>
      <labl>
        Occupation classification of the main job [ISCO 2008-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <txt>
        Occupation classification for the main job, following the 3-digits International Standard Classification of Occupations for the year 2008 (ISCO-08).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Non-commissioned armed forces officers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Armed forces occupations, other ranks
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          111
        </catValu>
        <labl>
          Legislators and senior officials
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55.453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          112
        </catValu>
        <labl>
          Managing directors and chief executives
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          121
        </catValu>
        <labl>
          Business services and administration managers
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18.097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          122
        </catValu>
        <labl>
          Sales, marketing and development managers
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8.63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Production managers in agriculture, forestry and fisheries
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          132
        </catValu>
        <labl>
          Manufacturing, mining, construction, and distribution manage
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.218
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          133
        </catValu>
        <labl>
          Information and communications technology service managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          134
        </catValu>
        <labl>
          Professional services managers
        </labl>
        <catStat type="freq">
          182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          181.52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Hotel and restaurant managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Retail and wholesale trade managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Other services managers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          211
        </catValu>
        <labl>
          Physical and earth science professionals
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.253
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          212
        </catValu>
        <labl>
          Mathematicians, actuaries and statisticians
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.067
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          213
        </catValu>
        <labl>
          Life science professionals
        </labl>
        <catStat type="freq">
          112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          97.97
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          214
        </catValu>
        <labl>
          Engineering professionals (excluding electrotechnology)
        </labl>
        <catStat type="freq">
          351
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          453.022
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          215
        </catValu>
        <labl>
          Electrotechnology engineers
        </labl>
        <catStat type="freq">
          174
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          225.317
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          216
        </catValu>
        <labl>
          Architects, planners, surveyors and designers
        </labl>
        <catStat type="freq">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          129.242
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Medical doctors
        </labl>
        <catStat type="freq">
          248
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          328.758
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Nursing and midwifery professionals
        </labl>
        <catStat type="freq">
          385
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          375.405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          223
        </catValu>
        <labl>
          Traditional and complementary medicine professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          224
        </catValu>
        <labl>
          Paramedical practitioners
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          225
        </catValu>
        <labl>
          Veterinarians
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.947
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          226
        </catValu>
        <labl>
          Other health professionals
        </labl>
        <catStat type="freq">
          291
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          318.175
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          University and higher education teachers
        </labl>
        <catStat type="freq">
          234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          281.433
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          232
        </catValu>
        <labl>
          Vocational education teachers
        </labl>
        <catStat type="freq">
          22
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16.931
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          233
        </catValu>
        <labl>
          Secondary education teachers
        </labl>
        <catStat type="freq">
          1563
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1454.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          234
        </catValu>
        <labl>
          Primary school and early childhood teachers
        </labl>
        <catStat type="freq">
          1954
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1740.957
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          235
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
        <catStat type="freq">
          122
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          107.684
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Finance professionals
        </labl>
        <catStat type="freq">
          1039
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1350.198
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Administration professionals
        </labl>
        <catStat type="freq">
          1814
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2031.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Sales, marketing and public relations professionals
        </labl>
        <catStat type="freq">
          77
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121.165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Software and applications developers and analysts
        </labl>
        <catStat type="freq">
          257
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          344.633
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Database and network professionals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Legal professionals
        </labl>
        <catStat type="freq">
          261
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          320.603
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Librarians, archivists and curators
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Social and religious professionals
        </labl>
        <catStat type="freq">
          122
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          128.388
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Authors, journalists and linguists
        </labl>
        <catStat type="freq">
          66
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          95.082
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Creative and performing artists
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          44.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          311
        </catValu>
        <labl>
          Physical and engineering science technicians
        </labl>
        <catStat type="freq">
          284
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          322.415
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          312
        </catValu>
        <labl>
          Mining, manufacturing and construction supervisors
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          313
        </catValu>
        <labl>
          Process control technicians
        </labl>
        <catStat type="freq">
          82
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          64.23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          314
        </catValu>
        <labl>
          Life science technicians and related associate professionals
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.071
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          315
        </catValu>
        <labl>
          Ship and aircraft controllers and technicians
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          33.48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Medical and pharmaceutical technicians
        </labl>
        <catStat type="freq">
          142
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          145.299
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Nursing and midwifery associate professionals
        </labl>
        <catStat type="freq">
          468
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          421.907
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Traditional and complementary medicine associate professiona
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Veterinary technicians and assistants
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.874
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Other health associate professionals
        </labl>
        <catStat type="freq">
          63
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          57.799
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Financial and mathematical associate professionals
        </labl>
        <catStat type="freq">
          359
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          426.037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Sales and purchasing agents and brokers
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          333
        </catValu>
        <labl>
          Business services agents
        </labl>
        <catStat type="freq">
          141
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          184.387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          334
        </catValu>
        <labl>
          Administrative and specialized secretaries
        </labl>
        <catStat type="freq">
          705
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          777.668
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          335
        </catValu>
        <labl>
          Regulatory government associate professionals
        </labl>
        <catStat type="freq">
          27
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25.671
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          341
        </catValu>
        <labl>
          Legal, social and religious associate professionals
        </labl>
        <catStat type="freq">
          195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          159.905
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          342
        </catValu>
        <labl>
          Sports and fitness workers
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          58.14
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          343
        </catValu>
        <labl>
          Artistic, cultural and culinary associate professionals
        </labl>
        <catStat type="freq">
          116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          125.816
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Information and communications technology operations and use
        </labl>
        <catStat type="freq">
          86
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          100.924
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Telecommunications and broadcasting technicians
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.456
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          411
        </catValu>
        <labl>
          General office clerks
        </labl>
        <catStat type="freq">
          1233
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1171.614
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          412
        </catValu>
        <labl>
          Secretaries (general)
        </labl>
        <catStat type="freq">
          112
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          120.051
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          413
        </catValu>
        <labl>
          Keyboard operators
        </labl>
        <catStat type="freq">
          193
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          161.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Tellers, money collectors and related clerks
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          75.075
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Client information workers
        </labl>
        <catStat type="freq">
          211
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          201.805
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Numerical clerks
        </labl>
        <catStat type="freq">
          135
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          135.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Material-recording and transport clerks
        </labl>
        <catStat type="freq">
          140
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132.597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          441
        </catValu>
        <labl>
          Other clerical support workers
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          13.99
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Travel attendants, conductors and guides
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          50.137
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Cooks
        </labl>
        <catStat type="freq">
          599
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          663.392
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          513
        </catValu>
        <labl>
          Waiters and bartenders
        </labl>
        <catStat type="freq">
          181
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          199.452
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          514
        </catValu>
        <labl>
          Hairdressers, beauticians and related workers
        </labl>
        <catStat type="freq">
          352
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          395.67
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          515
        </catValu>
        <labl>
          Building and housekeeping supervisors
        </labl>
        <catStat type="freq">
          134
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          173.144
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          516
        </catValu>
        <labl>
          Other personal services workers
        </labl>
        <catStat type="freq">
          30
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38.864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Street and market salespersons
        </labl>
        <catStat type="freq">
          383
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          382.033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Shop salespersons
        </labl>
        <catStat type="freq">
          3828
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4326.986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          523
        </catValu>
        <labl>
          Cashiers and ticket clerks
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.691
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          524
        </catValu>
        <labl>
          Other sales workers
        </labl>
        <catStat type="freq">
          93
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          106.967
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Child care workers and teachers' aides
        </labl>
        <catStat type="freq">
          66
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          77.195
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Personal care workers in health services
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          55.818
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          541
        </catValu>
        <labl>
          Protective services workers
        </labl>
        <catStat type="freq">
          8951
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7783.106
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Market gardeners and crop growers
        </labl>
        <catStat type="freq">
          711
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          559.969
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Animal producers
        </labl>
        <catStat type="freq">
          73
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          61.174
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Mixed crop and animal producers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          621
        </catValu>
        <labl>
          Forestry and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          622
        </catValu>
        <labl>
          Fishery workers, hunters and trappers
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.761
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Subsistence crop farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          632
        </catValu>
        <labl>
          Subsistence livestock farmers
        </labl>
        <catStat type="freq">
          214
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          167.564
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          633
        </catValu>
        <labl>
          Subsistence mixed crop and livestock farmers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          634
        </catValu>
        <labl>
          Subsistence fishers, hunters, trappers and gatherers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Building frame and related trades workers
        </labl>
        <catStat type="freq">
          1793
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2027.675
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Building finishers and related trades workers
        </labl>
        <catStat type="freq">
          725
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          834.16
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          713
        </catValu>
        <labl>
          Painters, building structure cleaners and related trades wor
        </labl>
        <catStat type="freq">
          627
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          755.249
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Sheet and structural metal workers, molders and welders, and
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18.346
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Blacksmiths, toolmakers and related trades workers
        </labl>
        <catStat type="freq">
          643
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          676.63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          723
        </catValu>
        <labl>
          Machinery mechanics and repairers
        </labl>
        <catStat type="freq">
          1148
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1248.465
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Handicraft workers
        </labl>
        <catStat type="freq">
          37
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          42.892
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Printing trades workers
        </labl>
        <catStat type="freq">
          72
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          87.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Electrical equipment installers and repairers
        </labl>
        <catStat type="freq">
          839
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          825.156
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Electronics and telecommunications installers and repairers
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47.978
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          751
        </catValu>
        <labl>
          Food processing and related trades workers
        </labl>
        <catStat type="freq">
          448
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          521.034
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          752
        </catValu>
        <labl>
          Wood treaters, cabinet-makers and related trades workers
        </labl>
        <catStat type="freq">
          420
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          487.007
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          753
        </catValu>
        <labl>
          Garment and related trades workers
        </labl>
        <catStat type="freq">
          622
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          644.481
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          754
        </catValu>
        <labl>
          Other craft and related workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Mining and mineral processing plant operators
        </labl>
        <catStat type="freq">
          239
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          217.772
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Metal processing and finishing plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Chemical and photographic products plant and machine operato
        </labl>
        <catStat type="freq">
          104
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          113.966
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          814
        </catValu>
        <labl>
          Rubber, plastic and paper products machine operators
        </labl>
        <catStat type="freq">
          101
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          124.793
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          815
        </catValu>
        <labl>
          Textile, fur and leather products machine operators
        </labl>
        <catStat type="freq">
          67
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          73.303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          816
        </catValu>
        <labl>
          Food and related products machine operators
        </labl>
        <catStat type="freq">
          192
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          213.271
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          817
        </catValu>
        <labl>
          Wood processing and papermaking plant operators
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          818
        </catValu>
        <labl>
          Other stationary plant and machine operators
        </labl>
        <catStat type="freq">
          7
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Assemblers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          831
        </catValu>
        <labl>
          Locomotive engine drivers and related workers
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          9.255
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          832
        </catValu>
        <labl>
          Car, van and motorcycle drivers
        </labl>
        <catStat type="freq">
          2990
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2966.998
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          833
        </catValu>
        <labl>
          Heavy truck and bus drivers
        </labl>
        <catStat type="freq">
          843
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          799.126
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          834
        </catValu>
        <labl>
          Mobile plant operators
        </labl>
        <catStat type="freq">
          314
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          335.858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          835
        </catValu>
        <labl>
          Ships' deck crews and related workers
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.012
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          911
        </catValu>
        <labl>
          Domestic, hotel and office cleaners and helpers
        </labl>
        <catStat type="freq">
          1572
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2035.591
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          912
        </catValu>
        <labl>
          Vehicle, window, laundry and other hand cleaning workers
        </labl>
        <catStat type="freq">
          33
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          32.939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          921
        </catValu>
        <labl>
          Agricultural, forestry and fishery laborers
        </labl>
        <catStat type="freq">
          257
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          189.871
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Mining and construction laborers
        </labl>
        <catStat type="freq">
          77
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72.4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Manufacturing laborers
        </labl>
        <catStat type="freq">
          238
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          235.911
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          933
        </catValu>
        <labl>
          Transport and storage laborers
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38.036
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Food preparation assistants
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Street and related service workers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Street vendors (excluding food)
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          137.403
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          961
        </catValu>
        <labl>
          Refuse workers
        </labl>
        <catStat type="freq">
          300
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          264.764
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          962
        </catValu>
        <labl>
          Other elementary workers
        </labl>
        <catStat type="freq">
          592
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          653.072
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.197
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          170748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169452.63
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the occupation (Q222) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1703" name="IND" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="87" width="3" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="10" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <txt>
        Standardized economic activity classification for the main job.
      </txt>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Agriculture, forestry and fishing
        </labl>
        <catStat type="freq">
          1381
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1129.493
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Mining and quarrying
        </labl>
        <catStat type="freq">
          474
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          349.097
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Manufacturing
        </labl>
        <catStat type="freq">
          4322
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4812.11
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Electricity, gas and water supply
        </labl>
        <catStat type="freq">
          375
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          362.448
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Construction
        </labl>
        <catStat type="freq">
          3738
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4398.68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          60
        </catValu>
        <labl>
          Wholesale and retail trade
        </labl>
        <catStat type="freq">
          6229
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7070.365
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Transportation and storage
        </labl>
        <catStat type="freq">
          3145
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3308.91
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Accommodation and food service activities
        </labl>
        <catStat type="freq">
          1138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1355.733
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Information and communication
        </labl>
        <catStat type="freq">
          495
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          703.19
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Financial and insurance activities
        </labl>
        <catStat type="freq">
          635
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          876.729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Real estate, professional and support service activities
        </labl>
        <catStat type="freq">
          1506
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2007.618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Public administration and defense
        </labl>
        <catStat type="freq">
          12930
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10743.02
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Education
        </labl>
        <catStat type="freq">
          5375
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4912.09
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Human health and social work activities
        </labl>
        <catStat type="freq">
          2056
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2029.704
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          150
        </catValu>
        <labl>
          Other activities
        </labl>
        <catStat type="freq">
          2017
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3074.353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          998
        </catValu>
        <labl>
          Unspecified
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.197
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          170748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169452.63
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
In many datasets, national classifications are used to code the detailed data collected. In such cases, if the aggregated data is provided by the statistical office, no attempt to correct the original variable is done.
The category "Wholesale and retail trade" includes the repair activities of motor vehicles and motorcycles.
The category "Real estate, administrative, professional and support service activities" includes: Real estate, renting and business activities; professional, scientific and technical activities; in addition to administrative and support service activities.



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1704" name="IND_ISIC4_3" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="88" EndPos="91" width="4" RecSegNo="1"/>
      <labl>
        Economic activity classification of the main job [ISIC Rev.4-3 digits]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="11" max="9999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <txt>
        Economic activity classification for the main job, following the 3-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4).
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Growing of non-perennial crops
        </labl>
        <catStat type="freq">
          770
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          614.047
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Growing of perennial crops
        </labl>
        <catStat type="freq">
          176
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          153.839
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Plant propagation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Animal production
        </labl>
        <catStat type="freq">
          426
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          356.15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Mixed farming
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Support activities to agriculture and post-harvest crop acti
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.296
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Hunting, trapping and related service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Silviculture and other forestry activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Logging
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Gathering of non-wood forest products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Support services to forestry
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Fishing
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.161
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Aquaculture
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Mining of hard coal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Mining of lignite
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Extraction of crude petroleum
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Extraction of natural gas
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Mining of iron ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Mining of non-ferrous metal ores
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Quarrying of stone, sand and clay
        </labl>
        <catStat type="freq">
          113
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          111.692
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          Mining and quarrying n.e.c.
        </labl>
        <catStat type="freq">
          361
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          237.405
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Support activities for petroleum and natural gas extraction
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Support activities for other mining and quarrying
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          101
        </catValu>
        <labl>
          Processing and preserving of meat
        </labl>
        <catStat type="freq">
          96
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          96.293
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          102
        </catValu>
        <labl>
          Processing and preserving of fish, crustaceans and molluscs
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          103
        </catValu>
        <labl>
          Processing and preserving of fruit and vegetables
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          53.33
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          104
        </catValu>
        <labl>
          Manufacture of vegetable and animal oils and fats
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16.936
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          105
        </catValu>
        <labl>
          Manufacture of dairy products
        </labl>
        <catStat type="freq">
          210
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210.236
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          106
        </catValu>
        <labl>
          Manufacture of grain mill products, starches and starch prod
        </labl>
        <catStat type="freq">
          41
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47.498
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          107
        </catValu>
        <labl>
          Manufacture of other food products
        </labl>
        <catStat type="freq">
          523
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          626.863
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          108
        </catValu>
        <labl>
          Manufacture of prepared animal feeds
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Manufacture of beverages
        </labl>
        <catStat type="freq">
          102
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          109.319
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Manufacture of tobacco products
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          46.794
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          131
        </catValu>
        <labl>
          Spinning, weaving and finishing of textiles
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          22.26
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          139
        </catValu>
        <labl>
          Manufacture of other textiles
        </labl>
        <catStat type="freq">
          61
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          71.962
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          141
        </catValu>
        <labl>
          Manufacture of wearing apparel, except fur apparel
        </labl>
        <catStat type="freq">
          572
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          587.977
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          142
        </catValu>
        <labl>
          Manufacture of articles of fur
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          143
        </catValu>
        <labl>
          Manufacture of knitted and crocheted apparel
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          151
        </catValu>
        <labl>
          Tanning and dressing of leather; manufacture of luggage, han
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          152
        </catValu>
        <labl>
          Manufacture of footwear
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.82
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          161
        </catValu>
        <labl>
          Sawmilling and planning of wood
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          162
        </catValu>
        <labl>
          Manufacture of products of wood, cork, straw and plaiting ma
        </labl>
        <catStat type="freq">
          12
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          10.946
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          170
        </catValu>
        <labl>
          Manufacture of paper and paper products
        </labl>
        <catStat type="freq">
          101
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          119.277
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          181
        </catValu>
        <labl>
          Printing and service activities related to printing
        </labl>
        <catStat type="freq">
          93
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          128.6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          182
        </catValu>
        <labl>
          Reproduction of recorded media
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          191
        </catValu>
        <labl>
          Manufacture of coke oven products
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.409
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          192
        </catValu>
        <labl>
          Manufacture of refined petroleum products
        </labl>
        <catStat type="freq">
          128
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          123.56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          201
        </catValu>
        <labl>
          Manufacture of basic chemicals, fertilizers and nitrogen com
        </labl>
        <catStat type="freq">
          201
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          246.925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          202
        </catValu>
        <labl>
          Manufacture of other chemical products
        </labl>
        <catStat type="freq">
          172
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          205.207
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          203
        </catValu>
        <labl>
          Manufacture of man-made fibers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Manufacture of pharmaceuticals, medicinal chemical and botan
        </labl>
        <catStat type="freq">
          182
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          211.44
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          221
        </catValu>
        <labl>
          Manufacture of rubber products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          222
        </catValu>
        <labl>
          Manufacture of plastics products
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          231
        </catValu>
        <labl>
          Manufacture of glass and glass products
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.741
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          239
        </catValu>
        <labl>
          Manufacture of non-metallic mineral products n.e.c.
        </labl>
        <catStat type="freq">
          301
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          295.703
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          241
        </catValu>
        <labl>
          Manufacture of basic iron and steel
        </labl>
        <catStat type="freq">
          138
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          149.045
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          242
        </catValu>
        <labl>
          Manufacture of basic precious and other non-ferrous metals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          243
        </catValu>
        <labl>
          Casting of metals
        </labl>
        <catStat type="freq">
          13
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          15.51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          251
        </catValu>
        <labl>
          Manufacture of structural metal products, tanks, reservoirs
        </labl>
        <catStat type="freq">
          507
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          549.104
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          252
        </catValu>
        <labl>
          Manufacture of weapons and ammunition
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          259
        </catValu>
        <labl>
          Manufacture of other fabricated metal products; metalworking
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1.971
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          261
        </catValu>
        <labl>
          Manufacture of electronic components and boards
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.857
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          262
        </catValu>
        <labl>
          Manufacture of computers and peripheral equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          263
        </catValu>
        <labl>
          Manufacture of communication equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          264
        </catValu>
        <labl>
          Manufacture of consumer electronics
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.593
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          265
        </catValu>
        <labl>
          Manufacture of measuring, testing, navigating and control eq
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          266
        </catValu>
        <labl>
          Manufacture of irradiation, electromedical and electrotherap
        </labl>
        <catStat type="freq">
          17
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          24.986
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          267
        </catValu>
        <labl>
          Manufacture of optical instruments and photographic equipmen
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          268
        </catValu>
        <labl>
          Manufacture of magnetic and optical media
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          271
        </catValu>
        <labl>
          Manufacture of electric motors, generators, transformers and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          272
        </catValu>
        <labl>
          Manufacture of batteries and accumulators
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7.297
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          273
        </catValu>
        <labl>
          Manufacture of wiring and wiring devices
        </labl>
        <catStat type="freq">
          38
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.707
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          274
        </catValu>
        <labl>
          Manufacture of electric lighting equipment
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25.475
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          275
        </catValu>
        <labl>
          Manufacture of domestic appliances
        </labl>
        <catStat type="freq">
          36
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          43.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          279
        </catValu>
        <labl>
          Manufacture of other electrical equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          281
        </catValu>
        <labl>
          Manufacture of general-purpose machinery
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21.729
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          282
        </catValu>
        <labl>
          Manufacture of special-purpose machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          291
        </catValu>
        <labl>
          Manufacture of motor vehicles
        </labl>
        <catStat type="freq">
          8
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.979
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          292
        </catValu>
        <labl>
          Manufacture of bodies (coachwork) for motor vehicles; manufa
        </labl>
        <catStat type="freq">
          11
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          12.214
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          293
        </catValu>
        <labl>
          Manufacture of parts and accessories for motor vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          301
        </catValu>
        <labl>
          Building of ships and boats
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          302
        </catValu>
        <labl>
          Manufacture of railway locomotives and rolling stock
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          303
        </catValu>
        <labl>
          Manufacture of air and spacecraft and related machinery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          304
        </catValu>
        <labl>
          Manufacture of military fighting vehicles
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          309
        </catValu>
        <labl>
          Manufacture of transport equipment n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Manufacture of furniture
        </labl>
        <catStat type="freq">
          502
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          587.172
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Manufacture of jewellery, bijouterie and related articles
        </labl>
        <catStat type="freq">
          18
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          21.608
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Manufacture of musical instruments
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          323
        </catValu>
        <labl>
          Manufacture of sports goods
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          324
        </catValu>
        <labl>
          Manufacture of games and toys
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          325
        </catValu>
        <labl>
          Manufacture of medical and dental instruments and supplies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          329
        </catValu>
        <labl>
          Other manufacturing n.e.c.
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Repair of fabricated metal products, machinery and equipment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Installation of industrial machinery and equipment
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          351
        </catValu>
        <labl>
          Electric power generation, transmission and distribution
        </labl>
        <catStat type="freq">
          281
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          258.71
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          352
        </catValu>
        <labl>
          Manufacture of gas; distribution of gaseous fuels through ma
        </labl>
        <catStat type="freq">
          15
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          20.925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          353
        </catValu>
        <labl>
          Steam and air conditioning supply
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Water collection, treatment and supply
        </labl>
        <catStat type="freq">
          77
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          79.583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          370
        </catValu>
        <labl>
          Sewerage
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          381
        </catValu>
        <labl>
          Waste collection
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          382
        </catValu>
        <labl>
          Waste treatment and disposal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          383
        </catValu>
        <labl>
          Materials recovery
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          390
        </catValu>
        <labl>
          Remediation activities and other waste management services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Construction of buildings
        </labl>
        <catStat type="freq">
          2103
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2507.302
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          421
        </catValu>
        <labl>
          Construction of roads and railways
        </labl>
        <catStat type="freq">
          148
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          121.423
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          422
        </catValu>
        <labl>
          Construction of utility projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          429
        </catValu>
        <labl>
          Construction of other civil engineering projects
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          431
        </catValu>
        <labl>
          Demolition and site preparation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          432
        </catValu>
        <labl>
          Electrical, plumbing and other construction installation act
        </labl>
        <catStat type="freq">
          703
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          805.69
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          433
        </catValu>
        <labl>
          Building completion and finishing
        </labl>
        <catStat type="freq">
          784
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          964.265
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          439
        </catValu>
        <labl>
          Other specialized construction activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          451
        </catValu>
        <labl>
          Sale of motor vehicles
        </labl>
        <catStat type="freq">
          261
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          339.886
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          452
        </catValu>
        <labl>
          Maintenance and repair of motor vehicles
        </labl>
        <catStat type="freq">
          1035
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1153.393
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          453
        </catValu>
        <labl>
          Sale of motor vehicle parts and accessories
        </labl>
        <catStat type="freq">
          139
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          171.23
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          454
        </catValu>
        <labl>
          Sale, maintenance and repair of motorcycles and related part
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          461
        </catValu>
        <labl>
          Wholesale on a fee or contract basis
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.688
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          462
        </catValu>
        <labl>
          Wholesale of agricultural raw materials and live animals
        </labl>
        <catStat type="freq">
          42
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          45.205
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          463
        </catValu>
        <labl>
          Wholesale of food, beverages and tobacco
        </labl>
        <catStat type="freq">
          126
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          147.162
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          464
        </catValu>
        <labl>
          Wholesale of household goods
        </labl>
        <catStat type="freq">
          155
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          192.158
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          465
        </catValu>
        <labl>
          Wholesale of machinery, equipment and supplies
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          26.547
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          466
        </catValu>
        <labl>
          Other specialized wholesale
        </labl>
        <catStat type="freq">
          212
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          230.361
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          469
        </catValu>
        <labl>
          Non-specialized wholesale trade
        </labl>
        <catStat type="freq">
          137
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          205.88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          471
        </catValu>
        <labl>
          Retail sale in non-specialized stores
        </labl>
        <catStat type="freq">
          1164
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1207.298
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          472
        </catValu>
        <labl>
          Retail sale of food, beverages and tobacco in specialized st
        </labl>
        <catStat type="freq">
          636
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          685.984
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          473
        </catValu>
        <labl>
          Retail sale of automotive fuel in specialized stores
        </labl>
        <catStat type="freq">
          116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          132.335
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          474
        </catValu>
        <labl>
          Retail sale of information and communications equipment in s
        </labl>
        <catStat type="freq">
          190
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          199.696
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          475
        </catValu>
        <labl>
          Retail sale of other household equipment in specialized stor
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          476
        </catValu>
        <labl>
          Retail sale of cultural and recreation goods in specialized
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          100.21
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          477
        </catValu>
        <labl>
          Retail sale of other goods in specialized stores
        </labl>
        <catStat type="freq">
          1351
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1674.052
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          478
        </catValu>
        <labl>
          Retail sale via stalls and markets
        </labl>
        <catStat type="freq">
          283
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          288.51
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          479
        </catValu>
        <labl>
          Retail trade not in stores, stalls or markets
        </labl>
        <catStat type="freq">
          264
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          252.858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          491
        </catValu>
        <labl>
          Transport via railways
        </labl>
        <catStat type="freq">
          57
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.489
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          492
        </catValu>
        <labl>
          Other land transport
        </labl>
        <catStat type="freq">
          2549
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2656.638
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          493
        </catValu>
        <labl>
          Transport via pipeline
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          501
        </catValu>
        <labl>
          Sea and coastal water transport
        </labl>
        <catStat type="freq">
          83
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          82.506
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          502
        </catValu>
        <labl>
          Inland water transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          511
        </catValu>
        <labl>
          Passenger air transport
        </labl>
        <catStat type="freq">
          152
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          187.573
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          512
        </catValu>
        <labl>
          Freight air transport
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          521
        </catValu>
        <labl>
          Warehousing and storage
        </labl>
        <catStat type="freq">
          10
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16.549
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          522
        </catValu>
        <labl>
          Support activities for transportation
        </labl>
        <catStat type="freq">
          252
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          291.686
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          531
        </catValu>
        <labl>
          Postal activities
        </labl>
        <catStat type="freq">
          39
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38.787
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          532
        </catValu>
        <labl>
          Courier activities
        </labl>
        <catStat type="freq">
          3
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.683
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          551
        </catValu>
        <labl>
          Short term accommodation activities
        </labl>
        <catStat type="freq">
          320
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          376.252
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          552
        </catValu>
        <labl>
          Camping grounds, recreational vehicle parks and trailer park
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          559
        </catValu>
        <labl>
          Other accommodation
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.815
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          561
        </catValu>
        <labl>
          Restaurants and mobile food service activities
        </labl>
        <catStat type="freq">
          713
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          838.541
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          562
        </catValu>
        <labl>
          Event catering and other food service activities
        </labl>
        <catStat type="freq">
          1
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.404
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          563
        </catValu>
        <labl>
          Beverage serving activities
        </labl>
        <catStat type="freq">
          98
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          133.72
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          581
        </catValu>
        <labl>
          Publishing of books, periodicals and other publishing activi
        </labl>
        <catStat type="freq">
          56
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          77.436
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          582
        </catValu>
        <labl>
          Software publishing
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          591
        </catValu>
        <labl>
          Motion picture, video and television program activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          592
        </catValu>
        <labl>
          Sound recording and music publishing activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          601
        </catValu>
        <labl>
          Radio broadcasting
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          602
        </catValu>
        <labl>
          Television programming and broadcasting activities
        </labl>
        <catStat type="freq">
          51
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          63.912
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          611
        </catValu>
        <labl>
          Wired telecommunications activities
        </labl>
        <catStat type="freq">
          32
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          41.731
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          612
        </catValu>
        <labl>
          Wireless telecommunications activities
        </labl>
        <catStat type="freq">
          146
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          198.098
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          613
        </catValu>
        <labl>
          Satellite telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          619
        </catValu>
        <labl>
          Other telecommunications activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Computer programming, consultancy and related activities
        </labl>
        <catStat type="freq">
          204
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          315.786
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          631
        </catValu>
        <labl>
          Data processing, hosting and related activities; web portals
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          639
        </catValu>
        <labl>
          Other information service activities
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6.227
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          641
        </catValu>
        <labl>
          Monetary intermediation
        </labl>
        <catStat type="freq">
          521
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          713.477
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          642
        </catValu>
        <labl>
          Activities of holding companies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          643
        </catValu>
        <labl>
          Trusts, funds and similar financial entities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          649
        </catValu>
        <labl>
          Other financial service activities, except insurance and pen
        </labl>
        <catStat type="freq">
          6
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5.446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          651
        </catValu>
        <labl>
          Insurance
        </labl>
        <catStat type="freq">
          88
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          133.891
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          652
        </catValu>
        <labl>
          Reinsurance
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          653
        </catValu>
        <labl>
          Pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          661
        </catValu>
        <labl>
          Activities auxiliary to financial service activities, except
        </labl>
        <catStat type="freq">
          20
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23.915
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          662
        </catValu>
        <labl>
          Activities auxiliary to insurance and pension funding
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          663
        </catValu>
        <labl>
          Fund management activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          681
        </catValu>
        <labl>
          Real estate activities with own or leased property
        </labl>
        <catStat type="freq">
          190
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          249.673
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          682
        </catValu>
        <labl>
          Real estate activities on a fee or contract basis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          691
        </catValu>
        <labl>
          Legal activities
        </labl>
        <catStat type="freq">
          197
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          255.575
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          692
        </catValu>
        <labl>
          Accounting, bookkeeping and auditing activities; tax consult
        </labl>
        <catStat type="freq">
          123
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          189.519
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          701
        </catValu>
        <labl>
          Activities of head offices
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          702
        </catValu>
        <labl>
          Management consultancy activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          711
        </catValu>
        <labl>
          Architectural and engineering activities and related technic
        </labl>
        <catStat type="freq">
          200
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          295.454
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          712
        </catValu>
        <labl>
          Technical testing and analysis
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          721
        </catValu>
        <labl>
          Research and experimental development on natural sciences an
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          722
        </catValu>
        <labl>
          Research and experimental development on social sciences and
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          731
        </catValu>
        <labl>
          Advertising
        </labl>
        <catStat type="freq">
          43
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          74.147
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          732
        </catValu>
        <labl>
          Market research and public opinion polling
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          741
        </catValu>
        <labl>
          Specialized design activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          742
        </catValu>
        <labl>
          Photographic activities
        </labl>
        <catStat type="freq">
          34
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          34.589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          749
        </catValu>
        <labl>
          Other professional, scientific and technical activities n.e.
        </labl>
        <catStat type="freq">
          24
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.578
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          750
        </catValu>
        <labl>
          Veterinary activities
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3.47
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          771
        </catValu>
        <labl>
          Renting and leasing of motor vehicles
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23.341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          772
        </catValu>
        <labl>
          Renting and leasing of personal and household goods
        </labl>
        <catStat type="freq">
          25
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.341
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          773
        </catValu>
        <labl>
          Renting and leasing of other machinery, equipment and tangib
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2.801
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          774
        </catValu>
        <labl>
          Leasing of intellectual property and similar products, excep
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          781
        </catValu>
        <labl>
          Activities of employment placement agencies
        </labl>
        <catStat type="freq">
          9
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          14.353
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          782
        </catValu>
        <labl>
          Temporary employment agency activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          783
        </catValu>
        <labl>
          Other human resources provision
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          791
        </catValu>
        <labl>
          Travel agency and tour operator activities
        </labl>
        <catStat type="freq">
          151
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          176.283
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          799
        </catValu>
        <labl>
          Other reservation service and related activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          801
        </catValu>
        <labl>
          Private security activities
        </labl>
        <catStat type="freq">
          300
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          426.777
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          802
        </catValu>
        <labl>
          Security systems service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          803
        </catValu>
        <labl>
          Investigation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          811
        </catValu>
        <labl>
          Combined facilities support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          812
        </catValu>
        <labl>
          Cleaning activities
        </labl>
        <catStat type="freq">
          121
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          137.896
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          813
        </catValu>
        <labl>
          Landscape care and maintenance service activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          821
        </catValu>
        <labl>
          Office administrative and support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          822
        </catValu>
        <labl>
          Activities of call centers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          823
        </catValu>
        <labl>
          Organization of conventions and trade shows
        </labl>
        <catStat type="freq">
          2
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0.903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          829
        </catValu>
        <labl>
          Business support service activities n.e.c.
        </labl>
        <catStat type="freq">
          40
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          36.749
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          841
        </catValu>
        <labl>
          Administration of the State and the economic and social poli
        </labl>
        <catStat type="freq">
          3894
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3387.518
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          842
        </catValu>
        <labl>
          Provision of services to the community as a whole
        </labl>
        <catStat type="freq">
          9010
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          7326.471
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          843
        </catValu>
        <labl>
          Compulsory social security activities
        </labl>
        <catStat type="freq">
          26
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          29.031
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          851
        </catValu>
        <labl>
          Pre-primary and primary education
        </labl>
        <catStat type="freq">
          2253
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2010.08
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          852
        </catValu>
        <labl>
          Secondary education
        </labl>
        <catStat type="freq">
          2124
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1956.781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          853
        </catValu>
        <labl>
          Higher education
        </labl>
        <catStat type="freq">
          880
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          824.64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          854
        </catValu>
        <labl>
          Other education
        </labl>
        <catStat type="freq">
          118
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          120.589
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          855
        </catValu>
        <labl>
          Educational support activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          861
        </catValu>
        <labl>
          Hospital activities
        </labl>
        <catStat type="freq">
          1716
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1595.128
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          862
        </catValu>
        <labl>
          Medical and dental practice activities
        </labl>
        <catStat type="freq">
          256
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          357.616
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          869
        </catValu>
        <labl>
          Other human health activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          871
        </catValu>
        <labl>
          Residential nursing care facilities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          872
        </catValu>
        <labl>
          Residential care activities for mental retardation, mental h
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          873
        </catValu>
        <labl>
          Residential care activities for the elderly and disabled
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          879
        </catValu>
        <labl>
          Other residential care activities
        </labl>
        <catStat type="freq">
          4
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4.407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          881
        </catValu>
        <labl>
          Social work activities without accommodation for the elderly
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          889
        </catValu>
        <labl>
          Other social work activities without accommodation
        </labl>
        <catStat type="freq">
          80
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72.552
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          900
        </catValu>
        <labl>
          Creative, arts and entertainment activities
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          19.774
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          910
        </catValu>
        <labl>
          Libraries, archives, museums and other cultural activities
        </labl>
        <catStat type="freq">
          16
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          11.016
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          920
        </catValu>
        <labl>
          Gambling and betting activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          931
        </catValu>
        <labl>
          Sports activities
        </labl>
        <catStat type="freq">
          79
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          91.479
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          932
        </catValu>
        <labl>
          Other amusement and recreation activities
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          941
        </catValu>
        <labl>
          Activities of business, employers and professional membershi
        </labl>
        <catStat type="freq">
          21
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          28.432
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          942
        </catValu>
        <labl>
          Activities of trade unions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          949
        </catValu>
        <labl>
          Activities of other membership organizations
        </labl>
        <catStat type="freq">
          246
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          209.337
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          951
        </catValu>
        <labl>
          Repair of computers and communication equipment
        </labl>
        <catStat type="freq">
          47
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          66.609
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          952
        </catValu>
        <labl>
          Repair of personal and household goods
        </labl>
        <catStat type="freq">
          65
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          68.539
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          960
        </catValu>
        <labl>
          Other personal service activities
        </labl>
        <catStat type="freq">
          565
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          647.62
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          970
        </catValu>
        <labl>
          Activities of households as employers of domestic personnel
        </labl>
        <catStat type="freq">
          750
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1622.95
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          981
        </catValu>
        <labl>
          Undifferentiated goods-producing activities of private house
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          982
        </catValu>
        <labl>
          Undifferentiated service-producing activities of private hou
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          990
        </catValu>
        <labl>
          Activities of extraterritorial organizations and bodies
        </labl>
        <catStat type="freq">
          212
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          308.597
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Unspecified code
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.197
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          170748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169452.63
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the economic activity (Q221) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1705" name="SECTOR" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="92" EndPos="93" width="2" RecSegNo="1"/>
      <labl>
        Sector of employment of the main job [Standardized version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <txt>
        Sector of employment (i.e. private versus public sector workers) in the main job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          19116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16027.1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          26371
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          30673.033
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          329
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          433.407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.197
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          170748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169452.63
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
Quasi-public sectors are considered as public. 
In the case that there is no distinction between Government and Public, in the original survey, we use the classification as provided.
Cooperative includes employees in joint ventures.
Foreign includes workers in international NGOs.
Others includes workers in national NGOs and in private households.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".]]>
      </notes>
    </var>
    <var ID="V1706" name="SECTOR_D" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="94" EndPos="96" width="3" RecSegNo="1"/>
      <labl>
        Sector of employment of the main job [Detailed version]
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="100" max="999"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <txt>
        This variable distinguishes between different types of public and private sectors as well as other types of sectors (foreign, cooperative, etc.).
      </txt>
      <catgry>
        <catValu>
          100
        </catValu>
        <labl>
          Government
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          110
        </catValu>
        <labl>
          Government- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          120
        </catValu>
        <labl>
          Government- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          130
        </catValu>
        <labl>
          Government- Federal
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          140
        </catValu>
        <labl>
          Government- Local
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          200
        </catValu>
        <labl>
          Public sector
        </labl>
        <catStat type="freq">
          19116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          16027.1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          210
        </catValu>
        <labl>
          Economic institutions
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          300
        </catValu>
        <labl>
          Private sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          310
        </catValu>
        <labl>
          Private investment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          320
        </catValu>
        <labl>
          Private- National
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          321
        </catValu>
        <labl>
          Private- National inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          322
        </catValu>
        <labl>
          Private- National outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          330
        </catValu>
        <labl>
          Private- Foreign
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          331
        </catValu>
        <labl>
          Private- Foreign inside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          332
        </catValu>
        <labl>
          Private- Foreign outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          340
        </catValu>
        <labl>
          Private- Inside establishment
        </labl>
        <catStat type="freq">
          21393
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          25216.925
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          350
        </catValu>
        <labl>
          Private- Outside establishment
        </labl>
        <catStat type="freq">
          4978
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5456.108
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          360
        </catValu>
        <labl>
          Private- Families
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          400
        </catValu>
        <labl>
          Joint/Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          410
        </catValu>
        <labl>
          Joint
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          420
        </catValu>
        <labl>
          Cooperative
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          430
        </catValu>
        <labl>
          Joint local sector
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          500
        </catValu>
        <labl>
          Foreign sector
        </labl>
        <catStat type="freq">
          329
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          433.407
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          510
        </catValu>
        <labl>
          Diplomatic bodies
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          600
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          610
        </catValu>
        <labl>
          Non-governmental organizations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          620
        </catValu>
        <labl>
          Non-profit associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          630
        </catValu>
        <labl>
          Charitable associations
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          640
        </catValu>
        <labl>
          Outside establishment
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          650
        </catValu>
        <labl>
          Outside the country
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          660
        </catValu>
        <labl>
          UNRWA
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.197
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          170748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169452.63
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The classification of those working inside or outside an establishment in different sectors can be further studied using the variable "ESTAB".


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the sector of employment (Q219) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".
Organized private sector was assumed to be inside an establishment; while the non-organized one was coded private sector outside an establishment.]]>
      </notes>
    </var>
    <var ID="V1707" name="HRSWK" wgt-var="V1678" files="F17" dcml="0" intrvl="contin">
      <location StartPos="97" EndPos="98" width="2" RecSegNo="1"/>
      <labl>
        Total weekly working hours in the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="97"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        97
      </sumStat>
      <sumStat type="mean">
        41.839
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        42.727
      </sumStat>
      <sumStat type="stdev">
        11.347
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        11.414
      </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 original variable indicating the total number of working hours (Q216) is not reported for those who are employed but temporary absent from their work, waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "0".]]>
      </notes>
    </var>
    <var ID="V1708" name="WNTCHJ" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="99" EndPos="100" width="2" RecSegNo="1"/>
      <labl>
        Want to change the main job/get an additional job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        45860
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        47170.737
      </sumStat>
      <sumStat type="invd">
        170748
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        169452.63
      </sumStat>
      <txt>
        The variable indicates whether the individual wants to change his/her main job or wants to have an additional one.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          43700
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          45014.324
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2116
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2119.216
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          37.197
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          170748
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          169452.63
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------



COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicating the desire to change the main job or practice an additonal one (Q217) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is recoded "not stated".
The original variable was collected for a reference period of 4 weeks preceding the date of the interview.]]>
      </notes>
    </var>
    <var ID="V1709" name="WNTCHJ_R" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="101" EndPos="102" width="2" RecSegNo="1"/>
      <labl>
        Reason for desiring to change the main job/get an additional job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Employed individuals aged 15+ reported desire to change job/get additional one
      </universe>
      <sumStat type="vald">
        2116
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2119.216
      </sumStat>
      <sumStat type="invd">
        214492
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        214504.151
      </sumStat>
      <txt>
        The variable provides the main reason for which an individual reported desire to change his/her main job or get an additional one.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Insufficient earnings
        </labl>
        <catStat type="freq">
          1402
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1429.303
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Does not match the educational qualification
        </labl>
        <catStat type="freq">
          143
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          160.728
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Bad work conditions
        </labl>
        <catStat type="freq">
          321
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          306.107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Inappropriate work place location
        </labl>
        <catStat type="freq">
          44
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          38.535
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Present job is seasonal/casual
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Occupation is not suitable
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Does not like present job
        </labl>
        <catStat type="freq">
          90
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          71.742
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Inappropriate working hours
        </labl>
        <catStat type="freq">
          93
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          94.387
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Others
        </labl>
        <catStat type="freq">
          23
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          18.413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          214492
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          214504.151
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The "work place location" might be a reason for the desire to change the job if it is too far from the individual's residence area or if the transportation is too difficult.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1710" name="TOTWAG" wgt-var="V1678" files="F17" dcml="2" intrvl="contin">
      <location StartPos="103" EndPos="108" width="6" RecSegNo="1"/>
      <labl>
        Total monthly wage from the regular main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="50" max="750"/>
      </valrng>
      <universe clusion="I">
        Waged workers aged 15+
      </universe>
      <sumStat type="vald">
        40019
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        40787.909
      </sumStat>
      <sumStat type="invd">
        176589
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        175835.457
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        353.821
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        350.885
      </sumStat>
      <sumStat type="stdev">
        142.214
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        147.468
      </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


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the wage category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total monthly wage (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1711" name="EMPINC" wgt-var="V1678" files="F17" dcml="2" intrvl="contin">
      <location StartPos="109" EndPos="114" width="6" RecSegNo="1"/>
      <labl>
        Total monthly income (for employers) from the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="50" max="750"/>
      </valrng>
      <universe clusion="I">
        Employer individuals aged 15+
      </universe>
      <sumStat type="vald">
        1813
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        2239.674
      </sumStat>
      <sumStat type="invd">
        214795
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        214383.693
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        518.56
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        531.313
      </sumStat>
      <sumStat type="stdev">
        201.694
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        202.745
      </sumStat>
      <txt>
        Total monthly income (for employers) from the main job
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total monthly income (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1712" name="SEMPINC" wgt-var="V1678" files="F17" dcml="2" intrvl="contin">
      <location StartPos="115" EndPos="120" width="6" RecSegNo="1"/>
      <labl>
        Total monthly income (for self-employed) from the main job
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="50" max="750"/>
      </valrng>
      <universe clusion="I">
        Self-employed individuals aged 15+
      </universe>
      <sumStat type="vald">
        3837
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        3938.151
      </sumStat>
      <sumStat type="invd">
        212771
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        212685.216
      </sumStat>
      <sumStat type="min">
        50
      </sumStat>
      <sumStat type="max">
        750
      </sumStat>
      <sumStat type="mean">
        319.221
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        326.801
      </sumStat>
      <sumStat type="stdev">
        162.821
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        165.479
      </sumStat>
      <txt>
        Total monthly income (for self-employed) from the main job
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
When the original dataset has only income categories, the total income is calculated as the midpoint of the range provided.


COUNTRY SPECIFIC NOTES
----------------------------------
The original variable indicates the income category only, thus, the generated variable is calculated as the midpoint of the ranges provided.
The original variable indicating the total monthly income (Q224) is not reported for those who are waiting to resume previous work or found a job and waiting to start. Thus, the generated variable for those cases is reported missing.]]>
      </notes>
    </var>
    <var ID="V1713" name="SRCHACT_01" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="121" EndPos="121" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by registering with government offices/ministries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 15+
      </universe>
      <sumStat type="vald">
        6413
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6250.369
      </sumStat>
      <sumStat type="invd">
        210195
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        210372.998
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          5179
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4972.737
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1234
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1277.632
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          210195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210372.998
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1714" name="SRCHACT_02" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="122" EndPos="122" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by registering with a public/private employment service
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 15+
      </universe>
      <sumStat type="vald">
        6413
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6250.369
      </sumStat>
      <sumStat type="invd">
        210195
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        210372.998
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          4722
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4529.45
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          1691
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1720.919
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          210195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210372.998
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1715" name="SRCHACT_06" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="123" EndPos="123" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by seeking the assistance of friends/relatives/other intermediaries
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 15+
      </universe>
      <sumStat type="vald">
        6413
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6250.369
      </sumStat>
      <sumStat type="invd">
        210195
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        210372.998
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          2861
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2828.939
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          3552
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3421.43
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          210195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210372.998
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1716" name="SRCHACT_07" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="124" EndPos="124" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by applying directly to the employer
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 15+
      </universe>
      <sumStat type="vald">
        6413
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6250.369
      </sumStat>
      <sumStat type="invd">
        210195
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        210372.998
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          1539
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1503.122
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          4874
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          4747.247
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          210195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210372.998
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1717" name="SRCHACT_08" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="125" EndPos="125" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job by reading/watching/responding to advertisements in newspapers/TV
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 15+
      </universe>
      <sumStat type="vald">
        6413
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6250.369
      </sumStat>
      <sumStat type="invd">
        210195
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        210372.998
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          3867
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          3568.695
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          2546
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          2681.674
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          210195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210372.998
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1718" name="SRCHACT_90" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="126" width="1" RecSegNo="1"/>
      <labl>
        Seeking a job through other activities not elsewhere classified
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="1"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 15+
      </universe>
      <sumStat type="vald">
        6413
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6250.369
      </sumStat>
      <sumStat type="invd">
        210195
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        210372.998
      </sumStat>
      <txt>
        This set of dummy variables should indicate the activity(ies) undertaken by the unemployed in their search efforts to find a job during the reference period.
      </txt>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          No
        </labl>
        <catStat type="freq">
          6368
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          6177.983
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
        <catStat type="freq">
          45
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          72.385
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          210195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          210372.998
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
"Searching for a private project" includes searching for a land, premises, machinery, supplies, farming inputs, etc.
"Online search" includes placing or updating the résumé on professional or social networking sites.
"Applying directly to the employer" includes checking worksites, farms, factories or other assembly places.


COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
    <var ID="V1719" name="SRCHDUR" wgt-var="V1678" files="F17" dcml="0" intrvl="contin">
      <location StartPos="127" EndPos="129" width="3" RecSegNo="1"/>
      <labl>
        Job search duration in months
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="0" max="103"/>
      </valrng>
      <universe clusion="I">
        Unemployed individuals aged 15+
      </universe>
      <sumStat type="vald">
        6413
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        6250.369
      </sumStat>
      <sumStat type="invd">
        210195
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        210372.998
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        103
      </sumStat>
      <sumStat type="mean">
        13.421
      </sumStat>
      <sumStat wgtd="wgtd" type="mean">
        12.893
      </sumStat>
      <sumStat type="stdev">
        13.204
      </sumStat>
      <sumStat wgtd="wgtd" type="stdev">
        12.959
      </sumStat>
      <txt>
        The variable reports the number of months during which the unemployed individual has been searching for a job.
      </txt>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
The period of search reported should be the last continuous period of active search without significant interruption (significant may imply active search efforts for a continuous period of at least four weeks).


COUNTRY SPECIFIC NOTES
----------------------------------
Generated by summing two variables Q231M (job search duration in months) and Q231Y (job search duration in years), after multiplying the latter by 12 to convert the durations provided years to months.]]>
      </notes>
    </var>
    <var ID="V1720" name="NOTSRCH_R" wgt-var="V1678" files="F17" dcml="0" intrvl="discrete">
      <location StartPos="130" EndPos="131" width="2" RecSegNo="1"/>
      <labl>
        Reason for not seeking a job during the reference period
      </labl>
      <respUnit>
        Data Dictionary &amp; Questionnaire/Codebook
      </respUnit>
      <valrng>
        <range min="1" max="99"/>
      </valrng>
      <universe clusion="I">
        Inactive individuals aged 15+
      </universe>
      <sumStat type="vald">
        87883
      </sumStat>
      <sumStat wgtd="wgtd" type="vald">
        89010.824
      </sumStat>
      <sumStat type="invd">
        128725
      </sumStat>
      <sumStat wgtd="wgtd" type="invd">
        127612.543
      </sumStat>
      <txt>
        For the "inactive" in the working age population, this variable should identify the main reason for which the individual is not searching for a job.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Failed to find a suitable job
        </labl>
        <catStat type="freq">
          548
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          535.421
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Lack of experience/qualifications
        </labl>
        <catStat type="freq">
          195
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          163.107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Lack of jobs matching personal skills or occupation
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Lack of jobs with suitable wages
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Considered too young or too old by prospective employers
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Race/sex/religion discrimination
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Lack of infrastructure (assets roads/transportations)
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Lack of employment services
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Lack of social relationships
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Refusal by family
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Do not know effective ways for job searching
        </labl>
        <catStat type="freq">
          161
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          138.781
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Believed that no suitable job exists
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          No jobs are available
        </labl>
        <catStat type="freq">
          1337
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1126.914
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tired of looking for work
        </labl>
        <catStat type="freq">
          492
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          437.41
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Full time student
        </labl>
        <catStat type="freq">
          22928
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          23370.371
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Homemaker/housewife
        </labl>
        <catStat type="freq">
          46823
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          47755.757
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Pensioners/retired/disabled
        </labl>
        <catStat type="freq">
          5050
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          5053.713
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Have income/revenue/means
        </labl>
        <catStat type="freq">
          8775
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          8786.903
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Others not elsewhere classified reasons
        </labl>
        <catStat type="freq">
          1574
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          1642.446
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Not stated
        </labl>
        <catStat type="freq">
          0
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          128725
        </catStat>
        <catStat wgtd="wgtd" type="freq">
          127612.543
        </catStat>
      </catgry>
      <codInstr>
        Original survey variable recoded/renamed (Ref: Data dictionary.pdf)
      </codInstr>
      <varFormat type="numeric" schema="other"/>
      <notes>
        <![CDATA[GENERAL NOTES
----------------------
All reasons are provided by the inactive individuals who are not working nor seeking a job because of discouragement or due to any of the known reasons of inactivity.



COUNTRY SPECIFIC NOTES
----------------------------------]]>
      </notes>
    </var>
  </dataDscr>
</codeBook>
