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<codeBook version="2.5" ID="RWA_2010-2013_EICV-P_v01_M" 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.ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd">
    <docDscr>
        <citation>
            <titlStmt>
                <titl>RWA-NISR-DDI-EICV4-CS-01</titl>
                <IDNo>DDI_RWA_2013-2014_EICV-P_v01_M</IDNo>
            </titlStmt>
            <prodStmt>
                <producer abbr="NISR" affiliation="Government of Rwanda" role="Documentation of the study">National Institute of Statistics of Rwanda</producer>
                <prodDate date="2016-06-28">2016-06-28</prodDate>
                <software version="5.0.19">Metadata Editor</software>
            </prodStmt>
            <verStmt>
                <version>
                    <![CDATA[Version 2 (September 2020). Edited version based on the original version (RWA-NISR-EICV4-PNL-01) that was produced by the National Institute of Statistics of Rwanda.

Version 1.1 (June 28th, 2016).]]>
                </version>
            </verStmt>
        </citation>
    </docDscr>
    <stdyDscr>
        <citation>
            <titlStmt>
                <IDNo>RWA_2010-2013_EICV-P_v01_M</IDNo>
                <titl>Integrated Household Living Conditions Survey 2010-2013</titl>
                <subTitl>
                    <![CDATA[Rounds III & IV Panel]]>
                </subTitl>
                <altTitl>EICV-P 2010-2013</altTitl>
                <parTitl>Enquete Intégrale sur les Conditions de Vie des Ménages</parTitl>
            </titlStmt>
            <rspStmt>
                <AuthEnty affiliation="Ministry of Finance and Economic Planning">National Institute of Statistics Rwanda (NISR)</AuthEnty>
            </rspStmt>
            <prodStmt>
                <copyright>(c)2016, National Institute of Statistics of Rwanda</copyright>
                <fundAg abbr="AfDB" role="Financial Partner">African Development Bank</fundAg>
                <fundAg abbr="WB" role="Financial Partner">World Bank</fundAg>
                <fundAg abbr="Ukaid" role="Financial Partner">UKaid</fundAg>
                <fundAg abbr="EU" role="Financial Partner">European Union</fundAg>
                <fundAg abbr="EU" role="Financial Partner">One UN</fundAg>
                <software version="5.0.19">Metadata Editor</software>
            </prodStmt>
            <distStmt>
                <contact affiliation="National Institute of Statistics of Rwanda" email="nada.rwada@statistics.gov.rw">Data Portals Managment Officer</contact>
            </distStmt>
            <serStmt>
                <serName>Income/Expenditure/Household Survey [hh/ies]</serName>
                <serInfo>
                    <![CDATA[The EICV4 survey (Enquête Intégrale sur les conditions de vie des ménages) is the fourth round of Rwanda's Integrated Living Conditions surveys. The previous three rounds were conducted every five years: EICV1 (2000-2001), EICV2 (2005-2006), EICV3 (2010-2011).

Beginning with the EICV4, the NISR plans to conduct the survey every 3 years in order to follow the trends in the poverty rate and other key indicators more frequently.   

Unlike the previous rounds, EICV4 includes a panel sample (selected from the EICV3) and a VUP sample selected from beneficiary households, in addition to the main sample.]]>
                </serInfo>
            </serStmt>
            <verStmt>
                <version date="2016-06-28">v0.1: Edited and anonymized data for public distribution</version>
            </verStmt>
        </citation>
        <stdyInfo>
            <subject>
                <topcClas vocab="World Bank">Poverty</topcClas>
                <topcClas vocab="World Bank">Education</topcClas>
                <topcClas vocab="World Bank">
                    <![CDATA[Agriculture & Rural Development]]>
                </topcClas>
                <topcClas vocab="World Bank">Health</topcClas>
                <topcClas vocab="World Bank">
                    <![CDATA[Labor & Social Protection]]>
                </topcClas>
                <topcClas vocab="World Bank">Environment</topcClas>
                <topcClas vocab="World Bank">Social Development</topcClas>
            </subject>
            <abstract>
                <![CDATA[The EICV4 survey (Enquête Intégrale sur les Conditions de Vie des ménages) was conducted over a 12-month cycle from October 2013 to October 2014. Data collection was divided into 10 cycles in order to represent seasonality in the income and consumption data. A main cross-sectional sample survey, a panel survey and a VUP sample survey were conducted simultaneously.

The EICV4 provides information on poverty and living conditions in Rwanda and measures changes over time as part of the on-going monitoring of the Poverty Reduction Strategy and other Government policies. The survey data are also very important for national accounts and updating the consumer price index (CPI).]]>
            </abstract>
            <sumDscr>
                <collDate date="2010-11-02" event="start" cycle="EICV 3 data collection"/>
                <collDate date="2011-10-24" event="end" cycle="EICV 3 data collection"/>
                <collDate date="2013-10-10" event="start" cycle="EICV 4 data collection"/>
                <collDate date="2014-10-19" event="end" cycle="EICV 4 data collection"/>
                <nation abbr="RWA">Rwanda</nation>
                <geogCover>National.</geogCover>
                <anlyUnit>Individuals, households</anlyUnit>
                <universe>All household members</universe>
                <dataKind>Sample survey data [ssd]</dataKind>
            </sumDscr>
            <notes>
                <![CDATA[The scope of the EICV4 includes: 
- Household listing
- Migration: internal and international, reasons for migration
- Health: disability and health problems, health insurance, consultations
- Education: general education, literacy/learning/training, education expenses
- Housing: backgroud and status of the housing occupancy, expenses, services and installations, physical characteristics of the dwelling, access and satisfaction towards basic services
- Employment: usual activity, employment status, salaried workers, business activities, underemployment and unemployment, domestic and ancillary work
- Agriculture: livestock, land and agricultural equipment, details of holding parcels/blocs and agricultural policy changes, crop harvests and use on a large scale, small scale crops, other income from agriculture, cost and expenditure on agricultural activities, transformation of agricultural products
- Household expenditure and subsistence farming: expenditure on non food items, food expenditure, subsistence farming and consumption of own production
- Transfers of incomes, other revenues and expenditures: transfers made by household (transfer-out), transfers received by the household (transfer-in), VUP, UBUDEHE and RSSP schemes, income support programmes and other revenues, other expenditure
- Credit, durables and savings: credit, durable household goods, deposit and savings]]>
            </notes>
        </stdyInfo>
        <method>
            <dataColl>
                <dataCollector abbr="NISR" affiliation="Ministry of Finance and Economic Planning">National Institute of Statistics of Rwanda</dataCollector>
                <sampProc>
                    <![CDATA[A sub-sample of 1,920 households interviewed in EICV3 (2010/11) was selected to be revisited in EICV4 (2013/14) to allow for a more complete analysis of movements into and out of poverty overtime. The sample was designed to provide representative results at the national and urban/rural levels. The sampling frame for the panel was the list of 1,431 villages visited in EICV3. Households that relocated or split were tracked in order to obtain current information for the corresponding household members. A total of 2,423 households that were visited in 2010/11 were revisited in 2013/14, of which 1,898 were original households and 525 were households that split off from the original households.

The same questionnaire was administered to both non-panel and panel households, so they are considered to be an integral part of both the EICV3 and EICV4 samples. The EICV3 and EICV4 samples were each drawn from the 2002 and 2012 census frames respectively, and the sampling was stratified by district. Suitable weights were calculated within the panel samples, and as needed were used for adjustment to reflect the national population. The sample selection procedures were done efficiently taking into consideration the replacement of panel households.

Since the EICV3 and EICV4 samples were drawn from different frames, the effect of using different sampling frames and strategies is unclear both for the panel and cross section analysis. One response is to investigate whether the panel is representative of the larger cross-section of households. We do this by testing the hypothesis of equality of sub-sample (i.e. panel) means to the means for the rest of the full sample, for key indicators. The three indicators selected are adult equivalents, household size, and consumption per adult equivalent. Households are divided into two mutually exclusive subsamples; selected panel households, and non-selected households.]]>
                </sampProc>
                <collMode>Face-to-face [f2f]</collMode>
                <resInstru>
                    <![CDATA[The same questionnaire was used for cross-sectional, panel and VUP samples. Part A of the questionnaire contains modules on household and individual information. Part B is on agriculture and consumption. The questionnaire was developed in English, and translated into Kinyarwanda. 

Questionnaire design took into account the requests raised by major data users and stakeholders, as well as consistency with the previous EICV questionnaires. In addition to methodological improvements, some simplifications were made:

- The major changes introduced in this survey were changes to Section 6, the Economic Activity. Further questioning was added on unemployment and underemployment in response to questions from users, and also to comply with international standards. The section was simplified to enable the analysis to be undertaken by local analysts.  

- The Section on the VUP participation was expanded to provide more information, better classification of beneficiaries and to provide greater consistency within the questionnaire. The same questionnaire is to be used on the separate VUP sample which runs in parallel with the EICV4

- The health section was reduced to try to cut respondent burden, as health-related information is being collected by Demographic and Health Surveys (DHS).

- The expenditure section was changed in minor ways to provide better information for national accounts (housing investment) and for CPI weights (retail outlets). 
 
Questionnaire was tested in pilot surveys and amended in time prior to the fieldwork starting in October 2013. ]]>
                </resInstru>
                <collSitu>
                    <![CDATA[A pilot survey was conducted throughout July 2013. A one-month enumerator training was conducted from end of August to September before enumeration.

For the 27 predominantly rural districts, the survey calendar for 12 months is divided into 10 cycles, and each cycle is divided into two sub-cycles, for a total of 20 enumeration periods of 16 days each. Each enumerator visited a group of 3 sample households every other day. A team of enumerators covers two sample EAs in each sub-cycle, or four EAs during a full cycle. In other words, each sample household in rural districts was visited 8 times over a period of 16 days. Questionnaire section 8Aiii, 8B and 8C were asked on every visit, while the other sections were spread out over the 8 visits (e.g. section 0-3 during 1st visit; section 4, 5a-5d, 8Ai, 8Aii during 2nd visit; section 5e, 6a-6c on 3rd visit; section 6d-6f on 4th visit; section 7a-7c on 5th visit; section 7d-7h on 6th visit; section 9 on 7th visit; section 10 on 8th visit) 

In the case of the three predominantly urban districts in Kigali Province, the data collection in each sample EA was conducted over a period of 33 days (one cycle). The 9 households in each sample EA were divided into 3 groups of 3 households each. Each enumerator visited one group of 3 sample households each day, so each sample household was visited every three days. Five EAs are covered in each cycle. In other words, each sample household in Kigali was visited 11 times over a period of 33 days. Questionnaire section 8Aiii, 8B and 8C were asked on every visit, while the other sections were spread out over the 11 visits (e.g. section 0 and 1 on 1st visit; section 2 and 3 on 2nd visit; section 4 on 3rd visit; section 5 on 4th visit; section 6a-6c on 5th visit; section 6d-6f on 6th visit; section 7a-7c on 7th visit; section 7d-7h on 8th visit; section 9 on 9th visit; section 10 on the 10th visit). 


Each enumeration is preceded by household listing.  

- Quality assurance during the fieldwork

A day before the interview started, the enumerator, accompanied by a controller, did an introduction to household, explaining how often they will come in that household and delivering a letter indicating that the HH has been selected.  

During the field work, after each cycle, the data processing team produced tables and reports of inconsistencies, which were checked by the field supervisor. The data entry system also contained consistency checks that alerted the data entry operators. In case of an alert, the questionnaire was sent back to the supervisor of data entry for correction.]]>
                </collSitu>
                <actMin>
                    <![CDATA[The fieldwork is coordinated by 2 national coordinators and 1 supervisor in each of the five zones. 

For the cross-sectional study, 6 enumerators were assigned to each district in Kigali (5 to each district in other provinces), accompanied by a controller for each district. 

Each team within the district met every morning before the fieldwork and the evening after data collection. 2 enumerators exchanged their completed questoinnaires to check the quality and make any necessary correction. They then handed the questionnaires to the controller assigned to each team for further checks. The controller conducted regular checks of data collection including visiting households post-interview to ensure that the enumerator has visited that household. The controller might send the enumerator back to the household if there was any issue with the completion of the questionnaire.]]>
                </actMin>
            </dataColl>
        </method>
        <dataAccs>
            <setAvail>
                <accsPlac URI="https://microdata.statistics.gov.rw/index.php/catalog/74">National Institute of Statistics of Rwanda</accsPlac>
                <origArch>
                    <![CDATA[National Institute of Statistics of Rwanda
https://microdata.statistics.gov.rw/index.php/catalog/74]]>
                </origArch>
            </setAvail>
            <useStmt>
                <citReq>"National Institute of Statistics of Rwanda, Integrated Household Living Conditions Survey(2014-2015), Version 1.1 of the public use dataset (June 2016), provided by the National Data Archive.http://microdata.statistics.gov.rw".</citReq>
                <conditions>This is a public use file, accessible to all.</conditions>
            </useStmt>
        </dataAccs>
    </stdyDscr>
    <fileDscr ID="F1">
        <fileTxt>
            <fileName>
                <![CDATA[Panel_s1_s2_s3_s4_s6a_s6e_s6f_EICV3&4.dta]]>
            </fileName>
            <dimensns>
                <caseQnty>8310</caseQnty>
                <varQnty>33</varQnty>
            </dimensns>
            <fileType>.dta</fileType>
            <fileCont>This file contains EICV 3 and 4 panel data.</fileCont>
        </fileTxt>
    </fileDscr>
    <dataDscr>
        <var ID="V2" name="hhid" files="F1" dcml="0" intrvl="contin">
            <labl>Household unique Identifier</labl>
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                <range UNITS="REAL" min="100001" max="102423"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">100001</sumStat>
            <sumStat type="max">102423</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V3" name="caseid" files="F1" dcml="0" intrvl="contin">
            <labl>case unique identifier</labl>
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            <valrng>
                <range UNITS="REAL" min="10000101" max="10242303"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">10000101</sumStat>
            <sumStat type="max">10242303</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V4" name="hhid_eicv3" files="F1" dcml="0" intrvl="contin">
            <labl>EICV3 public household ID</labl>
            <location StartPos="15" EndPos="20" width="6"/>
            <valrng>
                <range UNITS="REAL" min="100064" max="114260"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">100064</sumStat>
            <sumStat type="max">114260</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V5" name="caseid3" files="F1" dcml="0" intrvl="contin">
            <labl>eicv3 case unique identifier</labl>
            <location StartPos="21" EndPos="28" width="8"/>
            <valrng>
                <range UNITS="REAL" min="10006401" max="11426007"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">10006401</sumStat>
            <sumStat type="max">11426007</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V6" name="clust" files="F1" dcml="0" intrvl="contin">
            <labl>Cluster</labl>
            <location StartPos="29" EndPos="33" width="5"/>
            <valrng>
                <range UNITS="REAL" min="10001" max="10177"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">10001</sumStat>
            <sumStat type="max">10177</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V7" name="id1" files="F1" dcml="0" intrvl="discrete">
            <labl>Province</labl>
            <location StartPos="34" EndPos="34" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="5"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">5</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>Kigali City</labl>
                <catStat type="freq">1432</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl>Southern Province</labl>
                <catStat type="freq">2010</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl>Western Province</labl>
                <catStat type="freq">1825</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl>Northern Province</labl>
                <catStat type="freq">1287</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl>Eastern Province</labl>
                <catStat type="freq">1756</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V8" name="id2" files="F1" dcml="0" intrvl="discrete">
            <labl>D.Code</labl>
            <location StartPos="35" EndPos="35" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="8"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">8</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">1400</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl></labl>
                <catStat type="freq">1525</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl></labl>
                <catStat type="freq">1549</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl></labl>
                <catStat type="freq">967</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl></labl>
                <catStat type="freq">1060</catStat>
            </catgry>
            <catgry>
                <catValu>6</catValu>
                <labl></labl>
                <catStat type="freq">804</catStat>
            </catgry>
            <catgry>
                <catValu>7</catValu>
                <labl></labl>
                <catStat type="freq">758</catStat>
            </catgry>
            <catgry>
                <catValu>8</catValu>
                <labl></labl>
                <catStat type="freq">247</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V9" name="hhtype" files="F1" dcml="0" intrvl="discrete">
            <labl>Type of household according to the sample</labl>
            <location StartPos="36" EndPos="36" width="1"/>
            <valrng>
                <range UNITS="REAL" min="2" max="5"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">2</sumStat>
            <sumStat type="max">5</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>
                    <![CDATA[New sample (cluster>=2000 and cluster<5000)]]>
                </labl>
                <catStat type="freq">0</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl>Panel head of households in the same cluster</labl>
                <catStat type="freq">6743</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl>Panel head of households outside cluster</labl>
                <catStat type="freq">919</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl>Panel other relative inside the same cluster</labl>
                <catStat type="freq">235</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl>Panel other relative outside cluster</labl>
                <catStat type="freq">413</catStat>
            </catgry>
            <catgry>
                <catValu>6</catValu>
                <labl>Replaced in the same household (dependent code 94)</labl>
                <catStat type="freq">0</catStat>
            </catgry>
            <catgry>
                <catValu>7</catValu>
                <labl>Replaced different household (dependent code 95)</labl>
                <catStat type="freq">0</catStat>
            </catgry>
            <catgry>
                <catValu>8</catValu>
                <labl>VUP</labl>
                <catStat type="freq">0</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V10" name="vup_strata" files="F1" dcml="0" intrvl="discrete">
            <labl>VUP stratum (province, component)</labl>
            <location StartPos="37" EndPos="37" width="1"/>
            <valrng>
                <range UNITS="REAL" max="*"/>
            </valrng>
            <sumStat type="vald"/>
            <sumStat type="invd">8310</sumStat>
            <sumStat type="max">*</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>Direct Support (DS)</labl>
                <catStat type="freq">0</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl>Public Work (PW)</labl>
                <catStat type="freq">0</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl>Financial services loan (FS)</labl>
                <catStat type="freq">0</catStat>
            </catgry>
            <catgry missing="Y">
                <catValu>Sysmiss</catValu>
                <labl></labl>
                <catStat type="freq">8310</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V11" name="district" files="F1" dcml="0" intrvl="discrete">
            <labl>District (also stratum CS; panel)</labl>
            <location StartPos="38" EndPos="39" width="2"/>
            <valrng>
                <range UNITS="REAL" min="11" max="57"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">11</sumStat>
            <sumStat type="max">57</sumStat>
            <catgry>
                <catValu>11</catValu>
                <labl></labl>
                <catStat type="freq">436</catStat>
            </catgry>
            <catgry>
                <catValu>12</catValu>
                <labl></labl>
                <catStat type="freq">513</catStat>
            </catgry>
            <catgry>
                <catValu>13</catValu>
                <labl></labl>
                <catStat type="freq">483</catStat>
            </catgry>
            <catgry>
                <catValu>21</catValu>
                <labl></labl>
                <catStat type="freq">229</catStat>
            </catgry>
            <catgry>
                <catValu>22</catValu>
                <labl></labl>
                <catStat type="freq">232</catStat>
            </catgry>
            <catgry>
                <catValu>23</catValu>
                <labl></labl>
                <catStat type="freq">265</catStat>
            </catgry>
            <catgry>
                <catValu>24</catValu>
                <labl></labl>
                <catStat type="freq">247</catStat>
            </catgry>
            <catgry>
                <catValu>25</catValu>
                <labl></labl>
                <catStat type="freq">298</catStat>
            </catgry>
            <catgry>
                <catValu>26</catValu>
                <labl></labl>
                <catStat type="freq">243</catStat>
            </catgry>
            <catgry>
                <catValu>27</catValu>
                <labl></labl>
                <catStat type="freq">249</catStat>
            </catgry>
            <catgry>
                <catValu>28</catValu>
                <labl></labl>
                <catStat type="freq">247</catStat>
            </catgry>
            <catgry>
                <catValu>31</catValu>
                <labl></labl>
                <catStat type="freq">253</catStat>
            </catgry>
            <catgry>
                <catValu>32</catValu>
                <labl></labl>
                <catStat type="freq">253</catStat>
            </catgry>
            <catgry>
                <catValu>33</catValu>
                <labl></labl>
                <catStat type="freq">263</catStat>
            </catgry>
            <catgry>
                <catValu>34</catValu>
                <labl></labl>
                <catStat type="freq">243</catStat>
            </catgry>
            <catgry>
                <catValu>35</catValu>
                <labl></labl>
                <catStat type="freq">249</catStat>
            </catgry>
            <catgry>
                <catValu>36</catValu>
                <labl></labl>
                <catStat type="freq">306</catStat>
            </catgry>
            <catgry>
                <catValu>37</catValu>
                <labl></labl>
                <catStat type="freq">258</catStat>
            </catgry>
            <catgry>
                <catValu>41</catValu>
                <labl></labl>
                <catStat type="freq">259</catStat>
            </catgry>
            <catgry>
                <catValu>42</catValu>
                <labl></labl>
                <catStat type="freq">252</catStat>
            </catgry>
            <catgry>
                <catValu>43</catValu>
                <labl></labl>
                <catStat type="freq">277</catStat>
            </catgry>
            <catgry>
                <catValu>44</catValu>
                <labl></labl>
                <catStat type="freq">245</catStat>
            </catgry>
            <catgry>
                <catValu>45</catValu>
                <labl></labl>
                <catStat type="freq">254</catStat>
            </catgry>
            <catgry>
                <catValu>51</catValu>
                <labl></labl>
                <catStat type="freq">223</catStat>
            </catgry>
            <catgry>
                <catValu>52</catValu>
                <labl></labl>
                <catStat type="freq">275</catStat>
            </catgry>
            <catgry>
                <catValu>53</catValu>
                <labl></labl>
                <catStat type="freq">261</catStat>
            </catgry>
            <catgry>
                <catValu>54</catValu>
                <labl></labl>
                <catStat type="freq">232</catStat>
            </catgry>
            <catgry>
                <catValu>55</catValu>
                <labl></labl>
                <catStat type="freq">259</catStat>
            </catgry>
            <catgry>
                <catValu>56</catValu>
                <labl></labl>
                <catStat type="freq">255</catStat>
            </catgry>
            <catgry>
                <catValu>57</catValu>
                <labl></labl>
                <catStat type="freq">251</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V12" name="weight" files="F1" dcml="0" intrvl="contin">
            <labl>Weight</labl>
            <location StartPos="40" EndPos="50" width="11"/>
            <valrng>
                <range UNITS="REAL" min="22.906085" max="2409.653798"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">22.906085</sumStat>
            <sumStat type="max">2409.653798</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V13" name="region" files="F1" dcml="0" intrvl="discrete">
            <labl>Region</labl>
            <location StartPos="51" EndPos="51" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="6"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">6</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">1432</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl></labl>
                <catStat type="freq">791</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl></labl>
                <catStat type="freq">1869</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl></labl>
                <catStat type="freq">1502</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl></labl>
                <catStat type="freq">1236</catStat>
            </catgry>
            <catgry>
                <catValu>6</catValu>
                <labl></labl>
                <catStat type="freq">1480</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V14" name="sol14" files="F1" dcml="0" intrvl="contin">
            <labl>(first) sol14</labl>
            <location StartPos="52" EndPos="67" width="16"/>
            <valrng>
                <range UNITS="REAL" min="10953.2216796875" max="19050864"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">10953.2216796875</sumStat>
            <sumStat type="max">19050864</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V15" name="pov_EICV4" files="F1" dcml="0" intrvl="discrete">
            <location StartPos="68" EndPos="68" width="1"/>
            <valrng>
                <range UNITS="REAL" min="0" max="1"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">0</sumStat>
            <sumStat type="max">1</sumStat>
            <catgry>
                <catValu>0</catValu>
                <labl></labl>
                <catStat type="freq">5341</catStat>
            </catgry>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">2969</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V16" name="epov_EICV4" files="F1" dcml="0" intrvl="discrete">
            <location StartPos="69" EndPos="69" width="1"/>
            <valrng>
                <range UNITS="REAL" min="0" max="1"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">0</sumStat>
            <sumStat type="max">1</sumStat>
            <catgry>
                <catValu>0</catValu>
                <labl></labl>
                <catStat type="freq">7129</catStat>
            </catgry>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">1181</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V17" name="pov_eicv4_A" files="F1" dcml="0" intrvl="discrete">
            <location StartPos="70" EndPos="70" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="3"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">3</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">1181</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl></labl>
                <catStat type="freq">1788</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl></labl>
                <catStat type="freq">5341</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V18" name="decile_eicv4" files="F1" dcml="0" intrvl="discrete">
            <labl>10 quantiles of sol14</labl>
            <location StartPos="71" EndPos="72" width="2"/>
            <valrng>
                <range UNITS="REAL" min="1" max="10"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">10</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">842</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl></labl>
                <catStat type="freq">789</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl></labl>
                <catStat type="freq">812</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl></labl>
                <catStat type="freq">814</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl></labl>
                <catStat type="freq">811</catStat>
            </catgry>
            <catgry>
                <catValu>6</catValu>
                <labl></labl>
                <catStat type="freq">821</catStat>
            </catgry>
            <catgry>
                <catValu>7</catValu>
                <labl></labl>
                <catStat type="freq">836</catStat>
            </catgry>
            <catgry>
                <catValu>8</catValu>
                <labl></labl>
                <catStat type="freq">841</catStat>
            </catgry>
            <catgry>
                <catValu>9</catValu>
                <labl></labl>
                <catStat type="freq">842</catStat>
            </catgry>
            <catgry>
                <catValu>10</catValu>
                <labl></labl>
                <catStat type="freq">902</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V19" name="pop_wt" files="F1" dcml="0" intrvl="contin">
            <location StartPos="73" EndPos="90" width="18"/>
            <valrng>
                <range UNITS="REAL" min="22.9060840606689" max="19277.23046875"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">22.9060840606689</sumStat>
            <sumStat type="max">19277.23046875</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V20" name="quintile" files="F1" dcml="0" intrvl="discrete">
            <location StartPos="91" EndPos="91" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="5"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">5</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">1631</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl></labl>
                <catStat type="freq">1626</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl></labl>
                <catStat type="freq">1632</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl></labl>
                <catStat type="freq">1677</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl></labl>
                <catStat type="freq">1744</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V21" name="province" files="F1" dcml="0" intrvl="discrete">
            <labl>Province_EICV3</labl>
            <location StartPos="92" EndPos="92" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="5"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">5</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>Kigali City</labl>
                <catStat type="freq">1432</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl>Southern Province</labl>
                <catStat type="freq">2010</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl>Western Province</labl>
                <catStat type="freq">1825</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl>Northern Province</labl>
                <catStat type="freq">1287</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl>Eastern Province</labl>
                <catStat type="freq">1756</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V22" name="rwanda" files="F1" dcml="0" intrvl="discrete">
            <labl>All Rwanda</labl>
            <location StartPos="93" EndPos="93" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="1"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">1</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>All Rwanda</labl>
                <catStat type="freq">8310</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V23" name="PROVINCE_eicv3" files="F1" dcml="0" intrvl="discrete">
            <labl>Province</labl>
            <location StartPos="94" EndPos="94" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="5"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">5</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>Kigali City</labl>
                <catStat type="freq">1432</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl>Southern Province</labl>
                <catStat type="freq">2010</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl>Western Province</labl>
                <catStat type="freq">1825</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl>Northern Province</labl>
                <catStat type="freq">1287</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl>Eastern Province</labl>
                <catStat type="freq">1756</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V24" name="DISTRICT_eicv3" files="F1" intrvl="discrete">
            <labl>District (also stratum for SE calculation)</labl>
            <location StartPos="95" EndPos="98" width="4"/>
            <valrng>
                <range UNITS="character"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <catgry>
                <catValu>0101</catValu>
                <labl></labl>
                <catStat type="freq">436</catStat>
            </catgry>
            <catgry>
                <catValu>0102</catValu>
                <labl></labl>
                <catStat type="freq">513</catStat>
            </catgry>
            <catgry>
                <catValu>0103</catValu>
                <labl></labl>
                <catStat type="freq">483</catStat>
            </catgry>
            <catgry>
                <catValu>0201</catValu>
                <labl></labl>
                <catStat type="freq">229</catStat>
            </catgry>
            <catgry>
                <catValu>0202</catValu>
                <labl></labl>
                <catStat type="freq">232</catStat>
            </catgry>
            <catgry>
                <catValu>0203</catValu>
                <labl></labl>
                <catStat type="freq">265</catStat>
            </catgry>
            <catgry>
                <catValu>0204</catValu>
                <labl></labl>
                <catStat type="freq">247</catStat>
            </catgry>
            <catgry>
                <catValu>0205</catValu>
                <labl></labl>
                <catStat type="freq">298</catStat>
            </catgry>
            <catgry>
                <catValu>0206</catValu>
                <labl></labl>
                <catStat type="freq">243</catStat>
            </catgry>
            <catgry>
                <catValu>0207</catValu>
                <labl></labl>
                <catStat type="freq">249</catStat>
            </catgry>
            <catgry>
                <catValu>0208</catValu>
                <labl></labl>
                <catStat type="freq">247</catStat>
            </catgry>
            <catgry>
                <catValu>0301</catValu>
                <labl></labl>
                <catStat type="freq">253</catStat>
            </catgry>
            <catgry>
                <catValu>0302</catValu>
                <labl></labl>
                <catStat type="freq">253</catStat>
            </catgry>
            <catgry>
                <catValu>0303</catValu>
                <labl></labl>
                <catStat type="freq">263</catStat>
            </catgry>
            <catgry>
                <catValu>0304</catValu>
                <labl></labl>
                <catStat type="freq">243</catStat>
            </catgry>
            <catgry>
                <catValu>0305</catValu>
                <labl></labl>
                <catStat type="freq">249</catStat>
            </catgry>
            <catgry>
                <catValu>0306</catValu>
                <labl></labl>
                <catStat type="freq">306</catStat>
            </catgry>
            <catgry>
                <catValu>0307</catValu>
                <labl></labl>
                <catStat type="freq">258</catStat>
            </catgry>
            <catgry>
                <catValu>0401</catValu>
                <labl></labl>
                <catStat type="freq">259</catStat>
            </catgry>
            <catgry>
                <catValu>0402</catValu>
                <labl></labl>
                <catStat type="freq">252</catStat>
            </catgry>
            <catgry>
                <catValu>0403</catValu>
                <labl></labl>
                <catStat type="freq">277</catStat>
            </catgry>
            <catgry>
                <catValu>0404</catValu>
                <labl></labl>
                <catStat type="freq">245</catStat>
            </catgry>
            <catgry>
                <catValu>0405</catValu>
                <labl></labl>
                <catStat type="freq">254</catStat>
            </catgry>
            <catgry>
                <catValu>0501</catValu>
                <labl></labl>
                <catStat type="freq">223</catStat>
            </catgry>
            <catgry>
                <catValu>0502</catValu>
                <labl></labl>
                <catStat type="freq">275</catStat>
            </catgry>
            <catgry>
                <catValu>0503</catValu>
                <labl></labl>
                <catStat type="freq">261</catStat>
            </catgry>
            <catgry>
                <catValu>0504</catValu>
                <labl></labl>
                <catStat type="freq">232</catStat>
            </catgry>
            <catgry>
                <catValu>0505</catValu>
                <labl></labl>
                <catStat type="freq">259</catStat>
            </catgry>
            <catgry>
                <catValu>0506</catValu>
                <labl></labl>
                <catStat type="freq">255</catStat>
            </catgry>
            <catgry>
                <catValu>0507</catValu>
                <labl></labl>
                <catStat type="freq">251</catStat>
            </catgry>
            <varFormat type="character" schema="other"/>
        </var>
        <var ID="V25" name="sol_jan_eicv3" files="F1" dcml="0" intrvl="contin">
            <labl>Aggregate consumption/ae Jan14=100</labl>
            <location StartPos="99" EndPos="113" width="15"/>
            <valrng>
                <range UNITS="REAL" min="23491.962890625" max="18594942"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">23491.962890625</sumStat>
            <sumStat type="max">18594942</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V26" name="UR2_2012_eicv3" files="F1" dcml="0" intrvl="discrete">
            <labl>(max) UR2_2012</labl>
            <location StartPos="114" EndPos="114" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="2"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">2</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">1873</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl></labl>
                <catStat type="freq">6437</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V27" name="pov_EICV3" files="F1" dcml="0" intrvl="discrete">
            <location StartPos="115" EndPos="117" width="3"/>
            <valrng>
                <range UNITS="REAL" min="0" max="100"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">0</sumStat>
            <sumStat type="max">100</sumStat>
            <catgry>
                <catValu>0</catValu>
                <labl></labl>
                <catStat type="freq">4775</catStat>
            </catgry>
            <catgry>
                <catValu>100</catValu>
                <labl></labl>
                <catStat type="freq">3535</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V28" name="epov_EICV3" files="F1" dcml="0" intrvl="discrete">
            <location StartPos="118" EndPos="118" width="1"/>
            <valrng>
                <range UNITS="REAL" min="0" max="1"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">0</sumStat>
            <sumStat type="max">1</sumStat>
            <catgry>
                <catValu>0</catValu>
                <labl></labl>
                <catStat type="freq">6568</catStat>
            </catgry>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">1742</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V29" name="QUINTILE_eicv3" files="F1" dcml="0" intrvl="discrete">
            <labl>Quintile</labl>
            <location StartPos="119" EndPos="119" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="5"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">5</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>Q1</labl>
                <catStat type="freq">1619</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl>Q2</labl>
                <catStat type="freq">1626</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl>Q3</labl>
                <catStat type="freq">1598</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl>Q4</labl>
                <catStat type="freq">1646</catStat>
            </catgry>
            <catgry>
                <catValu>5</catValu>
                <labl>Q5</labl>
                <catStat type="freq">1821</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V30" name="POVERTY_eicv3" files="F1" dcml="0" intrvl="discrete">
            <labl>Poverty status</labl>
            <location StartPos="120" EndPos="120" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="3"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">3</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>Extremely poor</labl>
                <catStat type="freq">1742</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl>Poor</labl>
                <catStat type="freq">1793</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl>Non-poor</labl>
                <catStat type="freq">4775</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V31" name="HH_WT_eicv3" files="F1" dcml="0" intrvl="contin">
            <labl>Final weight of household</labl>
            <location StartPos="121" EndPos="137" width="17"/>
            <valrng>
                <range UNITS="REAL" min="137.399993896484" max="2409.69995117188"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">137.399993896484</sumStat>
            <sumStat type="max">2409.69995117188</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V32" name="POP_WT_eicv3" files="F1" dcml="0" intrvl="contin">
            <location StartPos="138" EndPos="154" width="17"/>
            <valrng>
                <range UNITS="REAL" min="137.399993896484" max="29898"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">137.399993896484</sumStat>
            <sumStat type="max">29898</sumStat>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V33" name="UR_eicv3" files="F1" dcml="0" intrvl="discrete">
            <labl>Strata</labl>
            <location StartPos="155" EndPos="155" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="3"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">3</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl>Urban</labl>
                <catStat type="freq">1429</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl>Rural</labl>
                <catStat type="freq">5859</catStat>
            </catgry>
            <catgry>
                <catValu>3</catValu>
                <labl>Peri urban</labl>
                <catStat type="freq">1022</catStat>
            </catgry>
            <catgry>
                <catValu>4</catValu>
                <labl>Semi urban</labl>
                <catStat type="freq">0</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
        <var ID="V34" name="Ur" files="F1" dcml="0" intrvl="discrete">
            <labl>
                <![CDATA[urban&rural 2012]]>
            </labl>
            <location StartPos="156" EndPos="156" width="1"/>
            <valrng>
                <range UNITS="REAL" min="1" max="2"/>
            </valrng>
            <sumStat type="vald">8310</sumStat>
            <sumStat type="invd"/>
            <sumStat type="min">1</sumStat>
            <sumStat type="max">2</sumStat>
            <catgry>
                <catValu>1</catValu>
                <labl></labl>
                <catStat type="freq">1873</catStat>
            </catgry>
            <catgry>
                <catValu>2</catValu>
                <labl></labl>
                <catStat type="freq">6437</catStat>
            </catgry>
            <varFormat type="numeric" schema="other"/>
        </var>
    </dataDscr>
</codeBook>