<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="SOM_2013_PESS_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.icpsr.umich.edu/DDI/Version1-2-2.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>
          Population Estimation Survey of Somalia 2014
        </titl>
        <IDNo>
          DDI_SOM_2013_PESS_v01_M
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="DNS" affiliation="Ministry of Planning and International Cooperation" role="Collection, processing and dissemination data">
          Directorate of National Statistics
        </producer>
        <producer abbr="DECDG" affiliation="The World Bank" role="Documentation of the DDI">
          Development Economics Data Group
        </producer>
        <prodDate date="2018-06-01">
          2018-06-01
        </prodDate>
        <software version="4.1 Beta 1" date="2014-11-06">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          <![CDATA[Version 01 (June 2018)
Metadata quality checks and  revisions done by DECDG World Bank.]]>
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          Population Estimation Survey of Somalia 2014
        </titl>
        <subTitl>
          Urban Round
        </subTitl>
        <altTitl>
          PESS 2014
        </altTitl>
        <IDNo>
          SOM_2013_PESS_v01_M
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="Ministry of Planning and International Cooperarion">
          Directorate of National Statistics
        </AuthEnty>
      </rspStmt>
      <prodStmt>
        <copyright>
          © 2017 Directorate of National Statistics
        </copyright>
        <software version="4.1 Beta 1" date="2014-11-06">
          Nesstar Publisher
        </software>
        <fundAg abbr="UNFPA">
          United National Fund Population
        </fundAg>
      </prodStmt>
      <distStmt>
        <contact affiliation="Directorate of National Statistics" URI="www.mopic@gov.so" email="info@mopic.gov.so">
          Division of Statistical Information and Publication
        </contact>
      </distStmt>
      <serStmt>
        <serName>
          Population and Housing Census [hh/popcen]
        </serName>
      </serStmt>
      <verStmt>
        <version date="2014-01-19">
          V1.0 (for Public use)
        </version>
      </verStmt>
    </citation>
    <stdyInfo>
      <subject>
        <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">
          censuses [14.1]
        </topcClas>
        <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">
          fertility [14.2]
        </topcClas>
        <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">
          migration [14.3]
        </topcClas>
        <topcClas vocab="CESSDA" vocabURI="http://www.nesstar.org/rdf/common">
          morbidity and mortality [14.4]
        </topcClas>
      </subject>
      <abstract>
        <![CDATA[PESS was designed with the aim of estimating the size of the population, and gathering information on the Somali people’s geographic distribution and their social and economic characteristics. PESS is a first milestone reached towards implementing a full and comprehensive population and housing census.

The specific objectives of PESS include:
a. Establishing reliable estimates of the size, age and sex of the Somali population living in urban areas, camps for internally displaced persons, rural areas, and nomadic communities.
b. Developing the capacity and foundation of government institutions responsible for compiling and storing statistics, while empowering individuals in these institutions.
c. Providing estimates of the number of households and information on the geographic distribution of households, the description of the structure of households, along with other demographic and socioeconomic data. For example, information on health and education which would be essential inputs in the preparation of humanitarian and development plans.
d. Setting an integrated baseline for basic and crucial information, and supplying tools such as sampling frames for future surveys and a potential population census.]]>
      </abstract>
      <sumDscr>
        <collDate date="2013-10" event="start"/>
        <collDate date="2014-03" event="end"/>
        <nation abbr="SOM">
          Somalia
        </nation>
        <geogCover>
          National Coverage
        </geogCover>
        <anlyUnit>
          Individuals
        </anlyUnit>
        <dataKind>
          Census/enumeration data [cen]
        </dataKind>
      </sumDscr>
      <notes>
        <![CDATA[The Scope of PESS includes: 

a. The size and geographical distribution of the population.
b. A description of basic socio-demographic and socioeconomic characteristics of the population (age-sex distribution, marital status, mortality, literacy, education, economic activity, etc.).
c. Estimation of the number and geographical distribution of households by their heads, size and composition.
d. A description of the structure and living conditions of the households (living arrangements,access to water, energy and telecommunication) and the characteristics of their heads (age,sex, literacy, education and economic activity).]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <dataCollector abbr="DNS" affiliation="Ministry of Planning and International Cooperation">
          Directorate of National Statics
        </dataCollector>
        <sampProc>
          PESS is a one-stage stratified cluster sample design. The design weight for a unit in the sample is the inverse of its probability of inclusion. Note that in any multi-stage selection, account is taken of selection probabilities of segment(s) (Primary Sampling Units (PSUs)), non-response or non-coverage. The probability of selection is the combined probability of selection at each stage; the weight takes into account adjustment if done. The non-response adjustment factor is defined as the ratio of the sum of the weights in the original sample to the sum of weights of the responding units. Additional details on sampling are provided in the survey report provided under the Related Materials tab.
        </sampProc>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          <![CDATA[The Main Survey Questionnaire is divided into five sections: 
 - Section A: Household identification information. 
 - Section B: Housing characteristics and Household Assets 
 - Section C: Individual characteristics of household members 
 - Section D: Population mobility 
 - Section E: Demographic events occurring to the household 

Besides these main sections there are some items of survey control information that need to be recorded on the questionnaire.]]>
        </resInstru>
        <sources/>
        <actMin>
          Supervisors, supported by a Somali technical team composed of Statistical Director and experts from different fields to oversee that the work was implemented as planned in a smooth operational manner.
        </actMin>
        <weight>
          The urban and rural sedentary population was weighted using the inverse of the selection probabilities.
        </weight>
        <cleanOps>
          <![CDATA[Adjustments for non-response made on the data : Some EAs or settlements were not covered even though selected for the survey. Equally, some households listed in the EAs were not fully covered in a number of cases. There was need, therefore, to make adjustments for these two problems. In this case, considering the number of selected EAs to be ns and the number responding to be nr, the adjustment for the non-response involving EAs/settlements was ns/nr . Following the same approach, the adjustment for the households missed in the enumeration was given as nsh/nrh. These two adjustments were carried out on the sedentary urban and rural data. The number of the PSUs selected for the urban and rural is provided in Table 1 of the Methodology and Application Report, while the number of EAs that responded are provided in Table 2. The two tables provide a snapshot view of the extent of the non-response which consequently required adjustment. 

Inaccessible areas were estimated independently using the satellite imageries. The satellite images were used to count the number of structures in the boundaries of each of the inaccessible areas. The information on mean sizes of structures, dwelling units and households were key in the application of the technique. From the listing information and the mapping exercise, the expected number of dwelling units per structure was established. In addition the average number of dwelling units in the structures was determined and using the mean household size of 6 the population for areas that could not be accessed was estimated. The use of this data was based on the fact that the averages for the variables under consideration do not vary widely particularly in the rural areas. 

Corrections on data file : There were various duplicates in the data file involving records of individuals in the households. Within one household, there would be an individual having records duplicated. Such anomalies were detected by scrutiny of the records in the households. The members would be having same values for the variables of the data. These were cleaned out by deleting one of the duplicates whenever identified. 

Nomadic data : The estimation was based on the weights based on the number of water points allocated to a given region and the mean number of watering episodes. Further adjustment was made in consideration of the duration of the watering episodes. One observation is that the mean watering time was not in conformity to the documented time for the animal types. For example it was noted that the camels were watering at closer intervals of time contrary to the 12 day period assumed in the study. This means that within the 12 day period there would be more camels appearing at the water points than expected. Thus if the watering interval was earlier understood to be 12 and yet in the interviewing period it is found to be 4 days, then there will be more camels at the water points during the interviewing period than expected in the theoretical formulation. Where such an observation was observed, an adjustment based on the ratio of the number of days n to 12 was used.]]>
        </cleanOps>
      </dataColl>
      <notes>
        Data entry: The process of converting the information obtained in the survey to a format that can be interpreted by a computer is referred to as data capture. A keyboard data entry approach was adopted as the most appropriate means of data capture for the PESS data. To implement this approach, a data entry programme was designed using the Census and Survey Processing System (CSPro).
      </notes>
    </method>
    <dataAccs>
      <useStmt>
        <confDec required="yes">
          <![CDATA[1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables. 
2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.]]>
        </confDec>
        <contact affiliation="Ministry of Planning and International Cooperation" URI="www.mopic.gov.so" email="info@mopic.gov.so">
          Directorate National Statistics
        </contact>
        <citReq>
          <![CDATA[Example:

Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download

Example:

Directorate of National Statistics 2013. Population Estimation Survey of Somalia (PESS) 2013-2014. Ref: SOM-NS-PESS-2014. Distributed by Directorate of National Statistics. Downloaded from [url] on [date]]]>
        </citReq>
        <conditions>
          <![CDATA[The dataset has been anonymized and is available as a Public Use Dataset. It is  accessible to all for statistical and research purposes only, under the following terms and conditions:

1. The user pledges  the utilization of “data” or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.

2. Utilization of “data” or any copies thereof is limited to personal computers normally .

3. The user pledges not to alter the value of any observation in the original “data”; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.]]>
        </conditions>
        <disclaimer>
          <![CDATA[DNS provides  data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data.]]>
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="SOM_2013_PESS_v01_M.Nesstar?Index=0&amp;Name=Urban Data">
    <fileTxt>
      <fileName>
        Urban Data.NSDstat
      </fileName>
      <fileCont>
        PESS 2014 Data
      </fileCont>
      <dimensns>
        <caseQnty>
          0
        </caseQnty>
        <varQnty>
          145
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        Directorate of National Statistics
      </filePlac>
      <dataMsng>
        <![CDATA[if one Coloumn Missing enter "9"
if two Coloumn Missing enter "99"
if Three Coloumn Missing enter "999"
if Country Coloumn Missing enter "98"]]>
      </dataMsng>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <var ID="V1" name="REGION" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="1" EndPos="2" width="2" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <valrng>
        <range UNITS="REAL" min="11" max="28"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        <![CDATA[PESS was designed with the aim of estimating the size of the population, and gathering information
on the Somali people’s geographic distribution and their social and economic characteristics.
PESS is a first milestone reached towards implementing a full and comprehensive population
and housing census]]>
      </txt>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Awdal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Woqooyi Galbeed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Togdheer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sanaag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Bari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nugaal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mudug
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Galgaduud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Hiran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Middle Shabelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Banadir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Lower Shabelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Bay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Bakool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Gedo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          MIddle Juba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Lower Juba
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V2" name="DISTRICT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="3" EndPos="4" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="16"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Borama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Baki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Lughaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Zeylac
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V3" name="ENUMAT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="5" EndPos="5" width="1" RecSegNo="1"/>
      <labl>
        Enumeration Area Type
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="5"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          IDP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Water point
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4" name="ENUMAC" files="F1" intrvl="discrete">
      <location StartPos="6" EndPos="9" width="4" RecSegNo="1"/>
      <labl>
        Enumeration Area Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V5" name="HHSNEA" files="F1" dcml="0" intrvl="contin">
      <location StartPos="10" EndPos="12" width="3" RecSegNo="1"/>
      <labl>
        Household Serial No in the Enumeration Area
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V6" name="VAR00006" files="F1" intrvl="discrete">
      <location StartPos="13" EndPos="14" width="2" RecSegNo="1"/>
      <labl>
        Region
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Awdal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Woqooyi Galbeed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Togdheer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Sool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          Sanaag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Bari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nugaal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Mudug
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Galgaduud
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          Hiran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Middle Shabelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Banadir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Lower Shabelle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Bay
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Bakool
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Gedo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          MIddle Juba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Lower Juba
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V7" name="VAR00005" files="F1" intrvl="discrete">
      <location StartPos="15" EndPos="16" width="2" RecSegNo="1"/>
      <labl>
        District
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Borama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Baki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Lughaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Zeylac
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V8" name="VAR00004" files="F1" intrvl="discrete">
      <location StartPos="17" EndPos="17" width="1" RecSegNo="1"/>
      <labl>
        Enumeration Area Type
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          IDP
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Water point
        </labl>
      </catgry>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V9" name="VAR00003" files="F1" intrvl="discrete">
      <location StartPos="18" EndPos="21" width="4" RecSegNo="1"/>
      <labl>
        Enumeration Area Code
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V10" name="VAR00002" files="F1" intrvl="discrete">
      <location StartPos="22" EndPos="24" width="3" RecSegNo="1"/>
      <labl>
        Household Serial No in the Enumeration Area
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V11" name="household_ID" files="F1" intrvl="discrete">
      <location StartPos="25" EndPos="36" width="12" RecSegNo="1"/>
      <labl>
        Household ID
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V12" name="A6_SWPN" files="F1" intrvl="discrete">
      <location StartPos="37" EndPos="40" width="4" RecSegNo="1"/>
      <labl>
        Settlement / Water Point name
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V13" name="A6_SWPC" files="F1" dcml="0" intrvl="contin">
      <location StartPos="41" EndPos="43" width="3" RecSegNo="1"/>
      <labl>
        Settlement / Water Point Code
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V14" name="A7_HS_EA" files="F1" dcml="0" intrvl="contin">
      <location StartPos="44" EndPos="46" width="3" RecSegNo="1"/>
      <labl>
        Housing Structure Serial No. in the EA
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V15" name="A8_DU" files="F1" dcml="0" intrvl="contin">
      <location StartPos="47" EndPos="48" width="2" RecSegNo="1"/>
      <labl>
        Number of dwelling units in the structure
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V16" name="A9_HH" files="F1" dcml="0" intrvl="contin">
      <location StartPos="49" EndPos="50" width="2" RecSegNo="1"/>
      <labl>
        Number of households in dwelling unit
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V17" name="QUE_SER_NUM" files="F1" dcml="0" intrvl="contin">
      <location StartPos="51" EndPos="56" width="6" RecSegNo="1"/>
      <labl>
        Questionnaire Serial Number
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="999999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V18" name="A10_ENNAME" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="57" EndPos="57" width="1" RecSegNo="1"/>
      <labl>
        Enumerator Name
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, name
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V19" name="A11_ENCODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="58" EndPos="60" width="3" RecSegNo="1"/>
      <labl>
        ID Code Enumeration
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V20" name="A12_ENDAY" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="61" EndPos="62" width="2" RecSegNo="1"/>
      <labl>
        Day Enumeration
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V21" name="A13_ENMONT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="63" EndPos="64" width="2" RecSegNo="1"/>
      <labl>
        Month
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V22" name="A14_ENSIGN" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="65" EndPos="65" width="1" RecSegNo="1"/>
      <labl>
        Signature Enumeration
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, signed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V23" name="A15_EDNAME" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="66" EndPos="66" width="1" RecSegNo="1"/>
      <labl>
        Editor Name
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, name
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V24" name="A16_EDCODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="67" EndPos="69" width="3" RecSegNo="1"/>
      <labl>
        ID Code Education
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V25" name="A17_EDDAY" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="70" EndPos="71" width="2" RecSegNo="1"/>
      <labl>
        Day Education
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V26" name="A18_EDMONT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="72" EndPos="73" width="2" RecSegNo="1"/>
      <labl>
        Month Education
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V27" name="A19_EDSIGN" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="74" EndPos="74" width="1" RecSegNo="1"/>
      <labl>
        Signature
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes,signed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V28" name="A20_SUNAME" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="75" EndPos="75" width="1" RecSegNo="1"/>
      <labl>
        Supervisor Name
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, name
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V29" name="A21_SUCODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="76" EndPos="78" width="3" RecSegNo="1"/>
      <labl>
        ID Code
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V30" name="A22_SUDAY" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="79" EndPos="80" width="2" RecSegNo="1"/>
      <labl>
        Day
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V31" name="A23_SUMONT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="81" EndPos="82" width="2" RecSegNo="1"/>
      <labl>
        Month
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V32" name="A24_SUSIGN" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="83" EndPos="83" width="1" RecSegNo="1"/>
      <labl>
        Signature
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes, signed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="A25_INTSTAT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="84" EndPos="84" width="1" RecSegNo="1"/>
      <labl>
        Interview Status
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Partially Completed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Refused
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Not able to visit
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V34" name="A26_MALES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="85" EndPos="86" width="2" RecSegNo="1"/>
      <labl>
        Males summary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V35" name="A27_FEMALES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="87" EndPos="88" width="2" RecSegNo="1"/>
      <labl>
        Females summary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V36" name="A28_TOTAL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="89" EndPos="90" width="2" RecSegNo="1"/>
      <labl>
        Total summary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V37" name="C1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="91" EndPos="92" width="2" RecSegNo="1"/>
      <labl>
        Number of years this household has lived in this place
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="C2_DISTNAME" files="F1" intrvl="discrete">
      <location StartPos="93" EndPos="107" width="15" RecSegNo="1"/>
      <labl>
        District name this household lived in before moving to current place
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V39" name="C2_DISTCODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="108" EndPos="111" width="4" RecSegNo="1"/>
      <labl>
        District Code
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Borama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Baki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Lughaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Zeylac
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Hargeysa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Gebiley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Berbera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Sheik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Burco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Odweyne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Buuhodle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Laas Canood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Caynabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Talex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          Xudun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Cerigababo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Ceel Afweyn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Laas Qqoray
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Bahdan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Dhahar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Bossaso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Caluula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1603
        </catValu>
        <labl>
          Iskushuban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1604
        </catValu>
        <labl>
          Qandala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1605
        </catValu>
        <labl>
          Bandar Beyla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1606
        </catValu>
        <labl>
          Qardho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Garowee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Eyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Dangaroyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Burthile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Galdogob
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Jariban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Gaalkacyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Hoboy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Xaradhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Dhuusamarreeb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Cabudwaaq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Cadaado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Ceel Buur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Ceel Dheer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Belet Weyne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Bulo Burto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          Jalalaqsi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Jawahar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Balcad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Cadale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Adan Yaabal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Abdiaziz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Bondhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Daynille
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Dharkenley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Hamar Jabab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Hamar Weyne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Hodan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2208
        </catValu>
        <labl>
          Howl Wadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2209
        </catValu>
        <labl>
          Huriwaa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Kaaraan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Shibis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Shangaani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Waabari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2214
        </catValu>
        <labl>
          Wadajiir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2215
        </catValu>
        <labl>
          Wardhiigley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2216
        </catValu>
        <labl>
          Yaagshiid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Marka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Afgoye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Wanla Weyn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Qoryooley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Kurtunwaarey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Baraawe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Sablaale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Baidoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Buur Hakba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Dinsoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Qansaax Dheere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Xuudur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Tayeeglow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Ceel Barde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Yeed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Wajid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Garbahaarey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Luuq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Doolow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2604
        </catValu>
        <labl>
          Belet Xaawo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2605
        </catValu>
        <labl>
          Ceel Waq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2606
        </catValu>
        <labl>
          Baardheere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Bu'aale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Saakow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Jilib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Kismaayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2802
        </catValu>
        <labl>
          Afmadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2803
        </catValu>
        <labl>
          Badhaadhe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2804
        </catValu>
        <labl>
          Jamaame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Not valid district code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V40" name="C2_CONAME" files="F1" intrvl="discrete">
      <location StartPos="112" EndPos="125" width="14" RecSegNo="1"/>
      <labl>
        Country name this household lived in before moving to current place
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V41" name="C2_CO_CODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="126" EndPos="127" width="2" RecSegNo="1"/>
      <labl>
        Country Code
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Somalia, Somaliland, Puntland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Djiibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other african country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other european country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Other latin american/caribbean country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Quatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Palestinian Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 Other asian country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Not valid country code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Other oceania (incl Pacific Islands)
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="C3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="128" EndPos="128" width="1" RecSegNo="1"/>
      <labl>
        Type of your previous place of residence
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Rural
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Urban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          IDP Settlement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Nomadic area
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Refugee camp
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="C4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="129" EndPos="129" width="1" RecSegNo="1"/>
      <labl>
        Main reason why this household left its place of origin
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Insecurity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Drought
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Floods
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Total loss of livelihood (destitution)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Better economic opportunities elsewhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Lack of access to services
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V44" name="C4_OT" files="F1" intrvl="discrete">
      <location StartPos="130" EndPos="144" width="15" RecSegNo="1"/>
      <labl>
        Other (Specify)
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V45" name="C5" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="145" EndPos="145" width="1" RecSegNo="1"/>
      <labl>
        Plans regarding the place of origin for the coming year
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Stay here in this current location
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Return to place of origin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Temporarily return to place of origin
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Relocate to another place permanently
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Have no plan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V46" name="C6" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="146" EndPos="146" width="1" RecSegNo="1"/>
      <labl>
        Place of usual stay during the rainy season
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Same district as district in which waterpoint is located
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Different district within the same region
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          District in different region
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Neighbouring country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V47" name="C6_DISTNAME" files="F1" intrvl="discrete">
      <location StartPos="147" EndPos="147" width="1" RecSegNo="1"/>
      <labl>
        District Name
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V48" name="C6_DISCODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="148" EndPos="151" width="4" RecSegNo="1"/>
      <labl>
        District Code
      </labl>
      <valrng>
        <range UNITS="REAL" min="1101" max="9999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1101
        </catValu>
        <labl>
          Borama
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1102
        </catValu>
        <labl>
          Baki
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1103
        </catValu>
        <labl>
          Lughaye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1104
        </catValu>
        <labl>
          Zeylac
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1201
        </catValu>
        <labl>
          Hargeysa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1202
        </catValu>
        <labl>
          Gebiley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1203
        </catValu>
        <labl>
          Berbera
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1301
        </catValu>
        <labl>
          Sheik
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1302
        </catValu>
        <labl>
          Burco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1303
        </catValu>
        <labl>
          Odweyne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1304
        </catValu>
        <labl>
          Buuhodle
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1401
        </catValu>
        <labl>
          Laas Canood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1402
        </catValu>
        <labl>
          Caynabo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1403
        </catValu>
        <labl>
          Talex
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1404
        </catValu>
        <labl>
          Xudun
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1501
        </catValu>
        <labl>
          Cerigababo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1502
        </catValu>
        <labl>
          Ceel Afweyn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1503
        </catValu>
        <labl>
          Laas Qqoray
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1504
        </catValu>
        <labl>
          Bahdan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1505
        </catValu>
        <labl>
          Dhahar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1601
        </catValu>
        <labl>
          Bossaso
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1602
        </catValu>
        <labl>
          Caluula
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1603
        </catValu>
        <labl>
          Iskushuban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1604
        </catValu>
        <labl>
          Qandala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1605
        </catValu>
        <labl>
          Bandar Beyla
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1606
        </catValu>
        <labl>
          Qardho
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1701
        </catValu>
        <labl>
          Garowee
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1702
        </catValu>
        <labl>
          Eyl
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1703
        </catValu>
        <labl>
          Dangaroyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1704
        </catValu>
        <labl>
          Burthile
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1801
        </catValu>
        <labl>
          Galdogob
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1802
        </catValu>
        <labl>
          Jariban
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1803
        </catValu>
        <labl>
          Gaalkacyo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1804
        </catValu>
        <labl>
          Hoboy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1805
        </catValu>
        <labl>
          Xaradhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1901
        </catValu>
        <labl>
          Dhuusamarreeb
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1902
        </catValu>
        <labl>
          Cabudwaaq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1903
        </catValu>
        <labl>
          Cadaado
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1904
        </catValu>
        <labl>
          Ceel Buur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1905
        </catValu>
        <labl>
          Ceel Dheer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2001
        </catValu>
        <labl>
          Belet Weyne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2002
        </catValu>
        <labl>
          Bulo Burto
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2003
        </catValu>
        <labl>
          Jalalaqsi
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2101
        </catValu>
        <labl>
          Jawahar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2102
        </catValu>
        <labl>
          Balcad
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2103
        </catValu>
        <labl>
          Cadale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2104
        </catValu>
        <labl>
          Adan Yaabal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2201
        </catValu>
        <labl>
          Abdiaziz
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2202
        </catValu>
        <labl>
          Bondhere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2203
        </catValu>
        <labl>
          Daynille
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2204
        </catValu>
        <labl>
          Dharkenley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2205
        </catValu>
        <labl>
          Hamar Jabab
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2206
        </catValu>
        <labl>
          Hamar Weyne
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2207
        </catValu>
        <labl>
          Hodan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2208
        </catValu>
        <labl>
          Howl Wadag
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2209
        </catValu>
        <labl>
          Huriwaa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2210
        </catValu>
        <labl>
          Kaaraan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2211
        </catValu>
        <labl>
          Shibis
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2212
        </catValu>
        <labl>
          Shangaani
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2213
        </catValu>
        <labl>
          Waabari
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2214
        </catValu>
        <labl>
          Wadajiir
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2215
        </catValu>
        <labl>
          Wardhiigley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2216
        </catValu>
        <labl>
          Yaagshiid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2301
        </catValu>
        <labl>
          Marka
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2302
        </catValu>
        <labl>
          Afgoye
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2303
        </catValu>
        <labl>
          Wanla Weyn
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2304
        </catValu>
        <labl>
          Qoryooley
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2305
        </catValu>
        <labl>
          Kurtunwaarey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2306
        </catValu>
        <labl>
          Baraawe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2307
        </catValu>
        <labl>
          Sablaale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2401
        </catValu>
        <labl>
          Baidoa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2402
        </catValu>
        <labl>
          Buur Hakba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2403
        </catValu>
        <labl>
          Dinsoor
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2404
        </catValu>
        <labl>
          Qansaax Dheere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2501
        </catValu>
        <labl>
          Xuudur
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2502
        </catValu>
        <labl>
          Tayeeglow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2503
        </catValu>
        <labl>
          Ceel Barde
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2504
        </catValu>
        <labl>
          Yeed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2505
        </catValu>
        <labl>
          Wajid
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2601
        </catValu>
        <labl>
          Garbahaarey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2602
        </catValu>
        <labl>
          Luuq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2603
        </catValu>
        <labl>
          Doolow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2604
        </catValu>
        <labl>
          Belet Xaawo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2605
        </catValu>
        <labl>
          Ceel Waq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2606
        </catValu>
        <labl>
          Baardheere
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2701
        </catValu>
        <labl>
          Bu'aale
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2702
        </catValu>
        <labl>
          Saakow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2703
        </catValu>
        <labl>
          Jilib
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2801
        </catValu>
        <labl>
          Kismaayo
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2802
        </catValu>
        <labl>
          Afmadow
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2803
        </catValu>
        <labl>
          Badhaadhe
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2804
        </catValu>
        <labl>
          Jamaame
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9998
        </catValu>
        <labl>
          Not valid district code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V49" name="C6_CONAME" files="F1" intrvl="discrete">
      <location StartPos="152" EndPos="152" width="1" RecSegNo="1"/>
      <labl>
        Country Name
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V50" name="C6_COCODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="153" EndPos="154" width="2" RecSegNo="1"/>
      <labl>
        Country Code
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Somalia, Somaliland, Puntland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Djiibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other african country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other european country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Other latin american/caribbean country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Quatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Palestinian Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 Other asian country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Not valid country code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Other oceania (incl Pacific Islands)
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V51" name="C7" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="155" EndPos="156" width="2" RecSegNo="1"/>
      <labl>
        Months in a normal year this household stay in the mentioned place in C6
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V52" name="C8" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="157" EndPos="158" width="2" RecSegNo="1"/>
      <labl>
        Watering of any kind of livestock at same waterpoint more than once in 12 days
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V53" name="D1_MALES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="159" EndPos="160" width="2" RecSegNo="1"/>
      <labl>
        Total previous males members of this household living abroad
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V54" name="D1_FEMALES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="161" EndPos="162" width="2" RecSegNo="1"/>
      <labl>
        Total previous females members of this household living abroad
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V55" name="D1_CO1_CODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="163" EndPos="164" width="2" RecSegNo="1"/>
      <labl>
        Living in Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Somalia, Somaliland, Puntland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Djiibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other african country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other european country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Other latin american/caribbean country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Quatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Palestinian Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 Other asian country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Not valid country code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Other oceania (incl Pacific Islands)
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V56" name="D1_CO1_NAME" files="F1" intrvl="discrete">
      <location StartPos="165" EndPos="179" width="15" RecSegNo="1"/>
      <labl>
        Living in Country
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V57" name="D1_MALES_CO1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="180" EndPos="181" width="2" RecSegNo="1"/>
      <labl>
        Males living in Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V58" name="D1_FEMALES_CO1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="182" EndPos="183" width="2" RecSegNo="1"/>
      <labl>
        Females living in Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V59" name="D1_CO2_CODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="184" EndPos="185" width="2" RecSegNo="1"/>
      <labl>
        Living in Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Somalia, Somaliland, Puntland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Djiibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other african country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other european country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Other latin american/caribbean country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Quatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Palestinian Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 Other asian country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Not valid country code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Other oceania (incl Pacific Islands)
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V60" name="D1_CO2_NAME" files="F1" intrvl="discrete">
      <location StartPos="186" EndPos="200" width="15" RecSegNo="1"/>
      <labl>
        Living in Country
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V61" name="D1_MALES_CO2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="201" EndPos="202" width="2" RecSegNo="1"/>
      <labl>
        Males living in Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V62" name="D1_FEMALES_CO2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="203" EndPos="204" width="2" RecSegNo="1"/>
      <labl>
        Females living in Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V63" name="D1_CO3_CODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="205" EndPos="206" width="2" RecSegNo="1"/>
      <labl>
        Living in Country
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Somalia, Somaliland, Puntland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Djiibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other african country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other european country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Other latin american/caribbean country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Quatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Palestinian Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 Other asian country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Not valid country code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Other oceania (incl Pacific Islands)
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V64" name="D1_CO3_NAME" files="F1" intrvl="discrete">
      <location StartPos="207" EndPos="220" width="14" RecSegNo="1"/>
      <labl>
        Living in Country
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V65" name="D1_MALES_CO3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="221" EndPos="222" width="2" RecSegNo="1"/>
      <labl>
        Males living in Country 3
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V66" name="D1_FEMALES_CO3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="223" EndPos="224" width="2" RecSegNo="1"/>
      <labl>
        Females living in Country 3
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V67" name="D1_CO4_CODE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="225" EndPos="226" width="2" RecSegNo="1"/>
      <labl>
        Living in Country 4 Code
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Somalia, Somaliland, Puntland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Djiibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other african country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other european country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Other latin american/caribbean country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Quatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Palestinian Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 Other asian country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Not valid country code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Other oceania (incl Pacific Islands)
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V68" name="D1_CO4_NAME" files="F1" intrvl="discrete">
      <location StartPos="227" EndPos="240" width="14" RecSegNo="1"/>
      <labl>
        Living in Country 4 Name
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V69" name="D1_MALES_CO4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="241" EndPos="242" width="2" RecSegNo="1"/>
      <labl>
        Males living in Country 4
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V70" name="D1_FEMALES_CO4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="243" EndPos="244" width="2" RecSegNo="1"/>
      <labl>
        Females from Country 4
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V71" name="D2_MALES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="245" EndPos="246" width="2" RecSegNo="1"/>
      <labl>
        Males who left the country after December 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V72" name="D2_FEMALES" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="247" EndPos="248" width="2" RecSegNo="1"/>
      <labl>
        Females who left the country after December 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V73" name="D3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="249" EndPos="249" width="1" RecSegNo="1"/>
      <labl>
        Live birth during the last 24 month (including those who died)
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V74" name="D10DEATHS" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="250" EndPos="250" width="1" RecSegNo="1"/>
      <labl>
        Death among household members during the last 24 months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V75" name="E1" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="251" EndPos="251" width="1" RecSegNo="1"/>
      <labl>
        What is the main source of energy for lighting?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Solar Energy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Firewood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Torch
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V76" name="E1_OTHER" files="F1" intrvl="discrete">
      <location StartPos="252" EndPos="260" width="9" RecSegNo="1"/>
      <labl>
        Other main source of energy for ligthing
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V77" name="E2" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="261" EndPos="261" width="1" RecSegNo="1"/>
      <labl>
        What is the main source of energy for cooking?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Electricity
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Liquefied Petroleum Gas
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kerosene
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Charcoal
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Firewood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Agricultural crop residue
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Livestock dung
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V78" name="E2_OTHER" files="F1" intrvl="discrete">
      <location StartPos="262" EndPos="268" width="7" RecSegNo="1"/>
      <labl>
        Other main source of energy for cooking
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V79" name="E3" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="269" EndPos="269" width="1" RecSegNo="1"/>
      <labl>
        What is the main source of drinking water?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Piped water/tap inside dwelling
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Piped water outside -public tap
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Mineral water
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Borehole/dug well
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          River, dam, stream etc (Open water)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V80" name="E3_OTHER" files="F1" intrvl="discrete">
      <location StartPos="270" EndPos="284" width="15" RecSegNo="1"/>
      <labl>
        Other main source of drinking water
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V81" name="E4" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="285" EndPos="285" width="1" RecSegNo="1"/>
      <labl>
        How does the household dispose human waste?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Flush toilet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Pit latrine
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Bush
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V82" name="E4_OTHER" files="F1" intrvl="discrete">
      <location StartPos="286" EndPos="290" width="5" RecSegNo="1"/>
      <labl>
        Other means of human waste disposal
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V83" name="E5" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="291" EndPos="291" width="1" RecSegNo="1"/>
      <labl>
        Main Material of walls
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Stone/Brick/Block
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Mud and wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Wood only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Iron Sheets
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Grass / Dirt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V84" name="E5_OTHER" files="F1" intrvl="discrete">
      <location StartPos="292" EndPos="306" width="15" RecSegNo="1"/>
      <labl>
        Other main wall materials
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V85" name="E6" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="307" EndPos="307" width="1" RecSegNo="1"/>
      <labl>
        Main roofing Material
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Concrete
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Roof Tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Iron Sheet
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Palm leaf/sod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V86" name="E6_OTHER" files="F1" intrvl="discrete">
      <location StartPos="308" EndPos="322" width="15" RecSegNo="1"/>
      <labl>
        Other main roofing material
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V87" name="E7" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="323" EndPos="323" width="1" RecSegNo="1"/>
      <labl>
        Main floor Material
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Cement
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Floor tiles
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Wood
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Palm leaf/sod
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Other
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V88" name="E7_OTHER" files="F1" intrvl="discrete">
      <location StartPos="324" EndPos="331" width="8" RecSegNo="1"/>
      <labl>
        Other main floor material
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V89" name="E8" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="332" EndPos="332" width="1" RecSegNo="1"/>
      <labl>
        Does your household own any land?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V90" name="E9" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="333" EndPos="333" width="1" RecSegNo="1"/>
      <labl>
        What is the main use of the land owned?
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Crop growing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Keeping livestock
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Commercial use (e.g. Rental. Leasing)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Vacant
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V91" name="E10_1_RA" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="334" EndPos="334" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Radio
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V92" name="E10_2_TE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="335" EndPos="335" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Television
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V93" name="E10_3_RE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="336" EndPos="336" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Refrigerator
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V94" name="E10_4_WA" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="337" EndPos="337" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Washing Machine
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V95" name="E10_5_CO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="338" EndPos="338" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Computer
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V96" name="E10_6_CA" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="339" EndPos="339" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Car
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V97" name="E10_7_DO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="340" EndPos="340" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Donkey cart
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V98" name="E10_8_BO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="341" EndPos="341" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Boat / Canoe
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V99" name="E11_CA" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="342" EndPos="342" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Camels
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V100" name="E12_CA" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="343" EndPos="345" width="3" RecSegNo="1"/>
      <labl>
        Number of Camels
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V101" name="E11_CT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="346" EndPos="346" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Cattle
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V102" name="E12_CT" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="347" EndPos="349" width="3" RecSegNo="1"/>
      <labl>
        Number of Cattle
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V103" name="E11_SH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="350" EndPos="350" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Shoats
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V104" name="E12_SH" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="351" EndPos="353" width="3" RecSegNo="1"/>
      <labl>
        Number of Shoats
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V105" name="E11_DO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="354" EndPos="354" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Donkeys
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V106" name="E12_DO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="355" EndPos="357" width="3" RecSegNo="1"/>
      <labl>
        Number of Donkeys
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V107" name="E11_HO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="358" EndPos="358" width="1" RecSegNo="1"/>
      <labl>
        Household ownership of Horses
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V108" name="E12_HO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="359" EndPos="361" width="3" RecSegNo="1"/>
      <labl>
        Number of Horses
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="999"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V109" name="B2_NAM" files="F1" intrvl="discrete">
      <location StartPos="362" EndPos="366" width="5" RecSegNo="1"/>
      <labl>
        Name of head of household
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V110" name="B3_REL" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="367" EndPos="367" width="1" RecSegNo="1"/>
      <labl>
        Relationship to head of household
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Head of household
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Spouse
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Son or daughter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Brother or sister
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Parent or grandparent
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Grandson or granddaughter
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other relatives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Unrelated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V111" name="B4_SEX" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="368" EndPos="368" width="1" RecSegNo="1"/>
      <labl>
        Whether male or female
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Male
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Female
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V112" name="B5_AGE" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="369" EndPos="370" width="2" RecSegNo="1"/>
      <labl>
        Age in completed years
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="99"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V113" name="B6_YOB" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="371" EndPos="374" width="4" RecSegNo="1"/>
      <labl>
        Year of Birth
      </labl>
      <valrng>
        <range UNITS="REAL" min="200" max="9999"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          9999
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V114" name="B7_MST" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="375" EndPos="375" width="1" RecSegNo="1"/>
      <labl>
        Marital Status
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Never married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Married
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Separated
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Divorced
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Widowed
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V115" name="B8_RAW" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="376" EndPos="376" width="1" RecSegNo="1"/>
      <labl>
        Ability to read and write
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Can not read and write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Can read only
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Can read and write
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V116" name="B9_ENR" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="377" EndPos="377" width="1" RecSegNo="1"/>
      <labl>
        Enrolled in school
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V117" name="B10_LEN" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="378" EndPos="378" width="1" RecSegNo="1"/>
      <labl>
        <![CDATA[Level of  school enrollement]]>
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Informal school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Koranic school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Primary school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Secondary school
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          College
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V118" name="B11_HIG" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="379" EndPos="379" width="1" RecSegNo="1"/>
      <labl>
        Highest level of formal education completed
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          None
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Primary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Secondary
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          College
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          University
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Unknown
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Koranic
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V119" name="B12_USU" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="380" EndPos="380" width="1" RecSegNo="1"/>
      <labl>
        Usual activity during the past 12 Months
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Working (including housewives having activities)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Not working and looking for work
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Housewife
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Student
        </labl>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          Retired
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Disabled
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          Other not working
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V120" name="B13_OCC" files="F1" intrvl="discrete">
      <location StartPos="381" EndPos="395" width="15" RecSegNo="1"/>
      <labl>
        Name of the occupation
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V121" name="B13_CDO" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="396" EndPos="397" width="2" RecSegNo="1"/>
      <labl>
        Code of the occupation
      </labl>
      <valrng>
        <range UNITS="REAL" min="9" max="99"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Managers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          General practioners and medical specialits
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Nursers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Midwives
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          Pharmacists....
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Community health workers...
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Other health profesionals....
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          University and higher teachers...
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Vocational teachers...
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Secondart education teachers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Primary school and early childhood teachers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          Other teaching professionals
        </labl>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          Business administration ....public and private sect.
        </labl>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          Information and communication tech.....
        </labl>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          Science and engineering
        </labl>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          Other profesionals ......
        </labl>
      </catgry>
      <catgry>
        <catValu>
          40
        </catValu>
        <labl>
          Clerical support workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Petty trading informal sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Commodity trade/sales formal sector
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Service sector workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Crop growers (agric workers)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Growers of maize, sorghum
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Growers of rice, cow peas, sesame, ground nut
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Growers of vegetables
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Raisers of livestock, incl herding
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Agro pastoralists(mixed farmers)
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          Fishermen, fishery workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Otherprimary sector workers incl forestry, hunters, gatherer
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Home craft using natural products...
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Home craft workers using textile, leather etc..
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Home based producing/sales of food
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Trained construction workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Metal, machinery and related trades workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          Food processing trade workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Garment and related trad workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          All other craft workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Factory workers in manufacturing industries
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          Drivers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          Crop farm laburers incl casual workers
        </labl>
      </catgry>
      <catgry>
        <catValu>
          92
        </catValu>
        <labl>
          Labourers in construction
        </labl>
      </catgry>
      <catgry>
        <catValu>
          93
        </catValu>
        <labl>
          Water and firewood collectors
        </labl>
      </catgry>
      <catgry>
        <catValu>
          94
        </catValu>
        <labl>
          Cleaners and servants
        </labl>
      </catgry>
      <catgry>
        <catValu>
          95
        </catValu>
        <labl>
          Other elementary occupations
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Invalid code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V122" name="B14_LIV" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="398" EndPos="398" width="1" RecSegNo="1"/>
      <labl>
        Living in the country after 2012
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V123" name="B15_COU" files="F1" intrvl="discrete">
      <location StartPos="399" EndPos="412" width="14" RecSegNo="1"/>
      <labl>
        Name_Country came from
      </labl>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V124" name="B15_CDC" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="413" EndPos="414" width="2" RecSegNo="1"/>
      <labl>
        Code_Country came from
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="99"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Somalia, Somaliland, Puntland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          Ethiopia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          Kenya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          Djiibouti
        </labl>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          South Sudan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          Egypt
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Libya
        </labl>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          Tunisia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          Morocco
        </labl>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          Algeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          Uganda
        </labl>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          Tanzania
        </labl>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          South Africa
        </labl>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          Mozambique
        </labl>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          Nigeria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          Ghana
        </labl>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          Other african country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          United Kingdom
        </labl>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          Sweden
        </labl>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          Norway
        </labl>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          Denmark
        </labl>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          France
        </labl>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          Germany
        </labl>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          Netherlands
        </labl>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          Russia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          Poland
        </labl>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          Italy
        </labl>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          Spain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          39
        </catValu>
        <labl>
          Other european country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          41
        </catValu>
        <labl>
          USA
        </labl>
      </catgry>
      <catgry>
        <catValu>
          42
        </catValu>
        <labl>
          Canada
        </labl>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          Mexico
        </labl>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          Guatemala
        </labl>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          Cuba
        </labl>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          Brazil
        </labl>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          Colombia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          Argentina
        </labl>
      </catgry>
      <catgry>
        <catValu>
          59
        </catValu>
        <labl>
          Other latin american/caribbean country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          61
        </catValu>
        <labl>
          Saudi Arabia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          62
        </catValu>
        <labl>
          Yemen
        </labl>
      </catgry>
      <catgry>
        <catValu>
          63
        </catValu>
        <labl>
          Oman
        </labl>
      </catgry>
      <catgry>
        <catValu>
          64
        </catValu>
        <labl>
          Bahrain
        </labl>
      </catgry>
      <catgry>
        <catValu>
          65
        </catValu>
        <labl>
          Kuwait
        </labl>
      </catgry>
      <catgry>
        <catValu>
          66
        </catValu>
        <labl>
          Quatar
        </labl>
      </catgry>
      <catgry>
        <catValu>
          67
        </catValu>
        <labl>
          United Arab Emirates
        </labl>
      </catgry>
      <catgry>
        <catValu>
          68
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          69
        </catValu>
        <labl>
          Jordan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          70
        </catValu>
        <labl>
          Palestinian Territory
        </labl>
      </catgry>
      <catgry>
        <catValu>
          71
        </catValu>
        <labl>
          Syria
        </labl>
      </catgry>
      <catgry>
        <catValu>
          72
        </catValu>
        <labl>
          Iraq
        </labl>
      </catgry>
      <catgry>
        <catValu>
          73
        </catValu>
        <labl>
          Turkey
        </labl>
      </catgry>
      <catgry>
        <catValu>
          74
        </catValu>
        <labl>
          Iran
        </labl>
      </catgry>
      <catgry>
        <catValu>
          75
        </catValu>
        <labl>
          Afghanistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          76
        </catValu>
        <labl>
          India
        </labl>
      </catgry>
      <catgry>
        <catValu>
          77
        </catValu>
        <labl>
          Bangladesh
        </labl>
      </catgry>
      <catgry>
        <catValu>
          78
        </catValu>
        <labl>
          Pakistan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          79
        </catValu>
        <labl>
          Indonesia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          80
        </catValu>
        <labl>
          Philippines
        </labl>
      </catgry>
      <catgry>
        <catValu>
          81
        </catValu>
        <labl>
          Thailand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          82
        </catValu>
        <labl>
          China
        </labl>
      </catgry>
      <catgry>
        <catValu>
          83
        </catValu>
        <labl>
          Japan
        </labl>
      </catgry>
      <catgry>
        <catValu>
          89
        </catValu>
        <labl>
          89 Other asian country
        </labl>
      </catgry>
      <catgry>
        <catValu>
          90
        </catValu>
        <labl>
          Australia
        </labl>
      </catgry>
      <catgry>
        <catValu>
          91
        </catValu>
        <labl>
          New Zealand
        </labl>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          Invalid country code
        </labl>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          Other oceania (incl Pacific Islands)
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V125" name="B16_REG" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="415" EndPos="415" width="1" RecSegNo="1"/>
      <labl>
        Registration as a voter
      </labl>
      <valrng>
        <range UNITS="REAL" min="1" max="9"/>
      </valrng>
      <invalrng>
        <item UNITS="REAL" VALUE="-9"/>
      </invalrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Yes
        </labl>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          No
        </labl>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          Missing
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V126" name="PrimaryLast" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="416" EndPos="416" width="1" RecSegNo="1"/>
      <labl>
        Indicator of each last matching case as Primary
      </labl>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <catgry>
        <catValu>
          0
        </catValu>
        <labl>
          Duplicate Case
        </labl>
      </catgry>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          Primary Case
        </labl>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V127" name="f_b3_rel" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="417" EndPos="417" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V128" name="f_b4_sex" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="418" EndPos="418" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V129" name="f_b5_age" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="419" EndPos="419" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V130" name="f_b6_yob" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="420" EndPos="420" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V131" name="f_b7_mst" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="421" EndPos="421" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V132" name="f_b8_raw" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="422" EndPos="422" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V133" name="f_b9_enr" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="423" EndPos="423" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V134" name="f_b10_len" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="424" EndPos="424" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V135" name="f_b11_hig" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="425" EndPos="425" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V136" name="f_b12_usu" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="426" EndPos="426" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V137" name="f_b13_occ" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="427" EndPos="427" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V138" name="f_b13_cdo" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="428" EndPos="428" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V139" name="f_b14_liv" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="429" EndPos="429" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V140" name="f_b15_cou" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="430" EndPos="430" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V141" name="f_b15_cdc" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="431" EndPos="431" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V142" name="f_b16_reg" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="432" EndPos="432" width="1" RecSegNo="1"/>
      <labl/>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V143" name="counter_tmp" files="F1" dcml="0" intrvl="discrete">
      <location StartPos="433" EndPos="433" width="1" RecSegNo="1"/>
      <labl/>
      <valrng>
        <range UNITS="REAL" min="0" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V144" name="temp_head" files="F1" dcml="2" intrvl="discrete">
      <location StartPos="434" EndPos="437" width="4" RecSegNo="1"/>
      <labl/>
      <valrng>
        <range UNITS="REAL" min="1" max="1"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V145" name="VAR00007" files="F1" dcml="2" intrvl="discrete">
      <location StartPos="438" EndPos="441" width="4" RecSegNo="1"/>
      <labl/>
      <valrng>
        <range UNITS="REAL" min="5" max="5"/>
      </valrng>
      <sumStat type="vald">
        0
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
