<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="APHRC-NUHDSS-INDIVIDUAL-CHARACTERISTICS-1.1" 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>
          NUHDSS - INDIVIDUALS 1.01
        </titl>
        <IDNo>
          APHRC-NUHDSS-INDIVIDUAL-CHARACTERISTICS-1.1
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="APHRC" affiliation="APHRC" role="Data Collection, Processing, and Documentation">
          African Population and Health Research Center
        </producer>
        <prodDate date="2017-05-31">
          2017-05-31
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 1.1, May 2017.
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          NUHDSS - Individual Characteristics data for all DSS Residents - 2002 to 2015
        </titl>
        <IDNo>
          APHRC-NUHDSS-INDIVIDUAL-CHARACTERISTICS-1.1
        </IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty affiliation="APHRC">
          African Population and Health Research Center
        </AuthEnty>
        <othId role="Study Subjects">
          <p>
            Residents of Korogocho and Viwandani Slums
          </p>
        </othId>
        <othId role="Support to field teams">
          <p>
            Community leaders - chiefs and village elders
          </p>
        </othId>
      </rspStmt>
      <prodStmt>
        <producer abbr="APHRC" role="Data Collection, Processing, and Documentation">
          African Population and Health Research Center
        </producer>
        <copyright>
          Copyright © APHRC, 2017
        </copyright>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
        <fundAg role="Funder">
          Wellcome Trust
        </fundAg>
        <fundAg role="Funder">
          Rockefeller Foundation (USA),
        </fundAg>
        <fundAg role="Funder">
          William and Flora Hewlett Foundation (USA
        </fundAg>
        <fundAg role="Funder">
          Comic Relief (UK)
        </fundAg>
        <fundAg abbr="SIDA" role="Funder">
          Swedish International Development Cooperation
        </fundAg>
        <fundAg role="Funder">
          Bill and Melinda Gates Foundation (USA).
        </fundAg>
      </prodStmt>
      <serStmt>
        <serName>
          Other Household Survey [hh/oth]
        </serName>
        <serInfo>
          For all the NUHDSS individuals.
        </serInfo>
      </serStmt>
      <verStmt>
        <version date="2017-05-31"/>
        <notes>
          Version 1.1 with datasets up to 2015
        </notes>
      </verStmt>
      <holdings URI="doi:10.20369/aphrc-011:2003.1.01"/>
    </citation>
    <stdyInfo>
      <abstract>
        Under the NUHDSS the households are visited in two informal settlements in Nairobi every four months to collect information on health and other related issues so that we can understand the health and well-being of members of these communities. Specifically, we would like to know about the individual characteristics.
      </abstract>
      <sumDscr>
        <collDate date="2002-08-05" event="start" cycle="Round 1 to Round 38"/>
        <collDate date="2015-12-31" event="end" cycle="Round 1 to Round 38"/>
        <nation abbr="KEN">
          KENYA
        </nation>
        <geogCover>
          Two informal settlements (slums) in Nairobi county, Kenya (specifically, Korogocho and Viwandani slums).
        </geogCover>
        <anlyUnit>
          All NUHDSS individuals.
        </anlyUnit>
        <universe>
          <![CDATA[The survey covered all  DSS members.]]>
        </universe>
      </sumDscr>
      <notes>
        This includes the NUHDSS individual id, date of birth, gender, ethnicity and date introduced to the DSA.
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          All individuals who are the household members (usual residents) in the geographic coverage area.
        </sampProc>
        <deviat>
          NA
        </deviat>
        <collMode>
          Face-to-face [f2f]
        </collMode>
        <resInstru>
          NA
        </resInstru>
        <sources/>
        <actMin>
          <![CDATA[Interviewing teams in the two sites of study comprised of:
     - Korogocho: 1 field supervisor, 2 editting team leaders, 1 data quality control team leader, 1 deaths' monitoring team leader, 2 data quality control officers, 12 interviewers
     - Viwandani: 1 field supervisor, 2 editting team leaders, 1 data quality control team leader, 1 deaths' monitoring team leader, 3 data quality control officers, 17 interviewers

The roles of the various members of the interviewing teams were:
     - Interviewer: Conducting face-to-face paper-based interviews(Round 0- Round 38)
     - Data Quality Control Officer: Performing random spot-checks on 10% of the questionnaires and reporting inconsistencies to the Data Quality Control Team Leader for harmonization
within the study community
     - Data Quality Control Team Leader: Harmonizing inconsistencies within questionnaires and performing a random spot-check on 10% of the 10% questionnaires that have already undergone spot-checking
     - Editting Team Leader: Editting 100% of questionnaires from randomly selected field workers and documenting issues emerging during data collection
     - Field supervisor: Responsible for overseeing general operations, resolving issues that cannot be harmonized by data quality control and ensuring that field work progressed on schedule.  They also conducted sit-in interviews along with Data Quality Control Team Leader

The Field Co-ordinator, Research Officer and/or Project Managers visited the field and field teams regularly to monitor and review progress and support field operations.]]>
        </actMin>
        <cleanOps>
          <![CDATA[Data editing took place at a number of stages throughout the processing, including:
1. Quality control through back-checks on 10 percent of completed questionnaires and editing of all completed questionnaires by supervisors and project management staff.
2. A quality control officer performed internal consistency checks for all questionnaires and edited all paper questionnaires coming from the field before their submission for data entry with return of incorrectly filled questionnaires to the field for error-resolution.
3. During data entry, any questionnaires that were found to be inconsistent were returned to the field for resolution.
4. Data cleaning and editting was carried out using STATA Version 13 software.

Detailed documentation of the editing of data can be found in the "Standard Procedures Manual" document provided as an external resource.
 
Some corrections are made automatically by the program (80%) and  the rest by visual control of the questionnaire (20%). 
 
Where changes are made by the program, a cold deck imputation is preferred;  where incorrect values are imputed using existing data from another dataset.  If cold deck is found to be insufficient, hot deck imputation is used.  In this case, a missing value is imputed from a randomly selected similar record in the same dataset.]]>
        </cleanOps>
      </dataColl>
      <notes>
        <![CDATA[Data were entered as follows:
1. Typed based on paper questionnaires at APHRC's headquarters on desktop computers. Double data entry was carried out on 10% of the questionnaires (Round 0- Round 38).

Data was captured using in-house software developed with a Visual Basic. Net front-end and a Microsoft Structured Query Language (SQL) Server back-end.]]>
      </notes>
    </method>
    <dataAccs>
      <useStmt>
        <contact URI="www.aphrc.org" email="datarequests@aphrc.org">
          African Population and Health Research Center
        </contact>
        <citReq>
          <![CDATA["African Population & Health Research Center (APHRC), Individual characteristic Table (2002-2015), Version 1.0 of the licensed public use dataset (May 2017), provided by the APHRC.  www.aphrc.org"
African Population and Health Research Center (APHRC), Nairobi Urban Health and Demographic Surveillance System - Individual characteristic Table 2002-2015, Version 1.1 June 2017. doi:10.20369/aphrc-011:2003.1.01]]>
        </citReq>
        <deposReq>
          The user should submit electronic and paper copies of all publications generated using APHRC data to the Policy Engagement and Communications Department, with copies to the Director of Research.
        </deposReq>
        <conditions>
          <![CDATA[All non-APHRC staff seeking to use data generated at the Center must obtain written approval to use the data from the Director of Research. This form is developed to assess applications for data use and facilitate responsible sharing of data with external partners/collaborators/researchers. By entering into this agreement, the undersigned agrees to use these data only for the purpose for which they were obtained and to abide by the conditions outlined below:
1. Data Ownership: The data remain the property of APHRC; any unauthorized reproduction and sharing of the data is strictly prohibited. The user will, therefore, not release nor permit others to use or release the data to any other person without the written authorization from the Center.
2. Purpose: The provided data must be used for the purpose specified in the Data Request Form; any other use not specified in the form must receive additional or separate authorization.
3. Respondent Identifiers: The Center is committed to protecting the identity of the respondents who provide information in its research. All analytical data sets (both qualitative and quantitative) released by the Data Unit MUST are stripped of respondent identifiers to protect the identity of the respondents. By accepting to use APHRC data, the user is pledging that he/she will not, under any circumstance, regenerate the identifiers or permit others to use the data to learn the identity of any individual, household or community included in any data set.
4. Confidentiality pledge: The user will not use nor permit others to use the data to report any information in the data sets that could identify, directly or by inference, individuals or households.
5. Reporting of errors or inconsistencies: The user will promptly notify the Head of the Statistics and Survey Unit any errors discovered in the data as soon as the errors are discovered.
6. Publications resulting from APHRC data: The Center requires external collaborators to work with APHRC staff on all publications resulting from its data. In order to facilitate this, lead authors should send a detailed concept note of the paper (including the background, rationale, data, analytical methods, and preliminary findings) to the Principle Investigator (or Theme Leader) for the project (with a copy to the Director of Research), who will circulate the abstract to concerned researchers for possible expression of interest in participating in the publication as co-authors. Any exception to the involvement of APHRC staff should be approved by the Director of Research, APHRC.
7. Security: The user will take responsibility for the security of the data by ensuring that the data are used and stored in a secure environment where access is password protected. This will ensure that non-authorized people should not have access to the data.
8. Loss of privilege to use data: In the event that APHRC determines that the data user is in violation of the conditions for using the data, or if the user wishes to cancel this agreement, the user will destroy the data files provided to him/her. APHRC retains the right to revoke this agreement or informs publishers to withhold publication of any work based wholly or in part on its data if the conditions for using the data are violated.
9. Acknowledgement: Any work/reports from this data must acknowledge APHRC as the source of these data. For example, the suggested acknowledgement for NUHDSS data is: 
"This research uses livelihoods data collected under the longitudinal Nairobi Urban Health and Demographic Surveillance System (NUHDSS) since 2006. The NUHDSS is carried out by the African Population and Health Research Center in two slums settlements (Korogocho and Viwandani) in Nairobi City."
Additionally all funders, the study communities that provided the data, and staff who collected and analyzed or processed the data should be acknowledged.
10. Deposit of Reports/Papers: The user should submit electronic and paper copies of all publications generated using APHRC data to the Policy Engagement and Communications Department, with copies to the Director of Research.
11. Change of contact details: The user will promptly inform the Director of Research of any change in your personal details as contained on this data request form.]]>
        </conditions>
        <disclaimer>
          The user of the data acknowledges that APHRC and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
        </disclaimer>
      </useStmt>
    </dataAccs>
  </stdyDscr>
  <fileDscr ID="F1" URI="NUHDSS - INDIVIDUALS 1.01.Nesstar?Index=0&amp;Name=individual_anon">
    <fileTxt>
      <fileName>
        individual_anon.NSDstat
      </fileName>
      <fileCont>
        The file contains data related to the NUHDSS individual id, date of birth, gender ,ethnicity and date first introduced to the DSA.
      </fileCont>
      <dimensns>
        <caseQnty>
          242787
        </caseQnty>
        <varQnty>
          5
        </varQnty>
      </dimensns>
      <fileType>
        Nesstar 200801
      </fileType>
      <filePlac>
        African Population &amp; Health Research Center (APHRC).
      </filePlac>
      <dataChck>
        <![CDATA[These are basic checks performed on all variables as necessary:
·Range Checks: This ensures that every variable contains only data within a predefined domain of valid values.
·Skip Checks: This will verify that skip patterns have been followed appropriately during data collection and data entry.
·Consistency Checks: These checks ensure that values from one question are consistent with values from another question. This is especially important where two or more variables contain similar or interlinked information. 
·Typographical Checks: These checks are necessary to identify and correct typographical and spelling errors in variables.
·Checks Against Reference Data: These checks ensure that newly added data is consistent with existing data about the statistical unit under survey.]]>
      </dataChck>
      <dataMsng>
        <![CDATA[Data are coded as follows:
·Missing Data: No data or a missing data code provided where data should have been collected. All missing values are coded as 9999995 "missing:impute".
·Other-specify: A data code  of 6/96/996, etcetera "other" is assigned to any variable that is a filter leading to another variable where the respondent can provide more specific details about the filter variable
·Refused: A data code  of 7/97/997, etcetera "refused" is assigned to any variable where the respondent refused to answer or participate
·Don't Know: A data code  of 8/98/998, etcetera "don't know" is assigned to any variables where the respondent did not know the answer
·Skipped Questions: A data code  of 9/99/999, etcetera "NIU (not in universe)" is assigned to any variable where the unit (in this case, household) is not in the universe/are not eligible to answer the question]]>
      </dataMsng>
      <verStmt>
        <version>
          V1.0
        </version>
      </verStmt>
    </fileTxt>
  </fileDscr>
  <dataDscr>
    <varGrp ID="VG1" type="subject" var="V1 V2 V3 V4 V5">
      <labl>
        INDIVIDUAL CHARACTERISTICS
      </labl>
    </varGrp>
    <var ID="V1" name="ind_individualid_anon" files="F1" intrvl="discrete">
      <location width="36"/>
      <labl>
        NUHDSS individual (anonymizer all rounds)
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the NUHDSS individual.
      </universe>
      <sumStat type="vald">
        242787
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The NUHDSS individual id.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V2" name="ind_datebirth" files="F1" intrvl="discrete">
      <location width="11"/>
      <labl>
        date of birth of NUHDSS individual (%td format)
      </labl>
      <respUnit>
        The respondent.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the NUHDSS individual.
      </universe>
      <sumStat type="vald">
        242766
      </sumStat>
      <sumStat type="min">
        1901-08-10
      </sumStat>
      <sumStat type="max">
        2017-12-22
      </sumStat>
      <txt>
        The date of birth of NUHDSS individual.
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V3" name="ind_gender" files="F1" dcml="0" intrvl="discrete">
      <location width="21"/>
      <labl>
        gender of NUHDSS individual
      </labl>
      <respUnit>
        The respondent.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="9999995"/>
      </valrng>
      <universe clusion="I">
        All the NUHDSS individual.
      </universe>
      <sumStat type="vald">
        242779
      </sumStat>
      <sumStat type="invd">
        8
      </sumStat>
      <txt>
        The gender of NUHDSS individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          female
        </labl>
        <catStat type="freq">
          110702
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          male
        </labl>
        <catStat type="freq">
          132077
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          other
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          refused
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999995
        </catValu>
        <labl>
          missing:impute
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry missing="Y">
        <catValu>
          Sysmiss
        </catValu>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V4" name="ind_datetodsa" files="F1" intrvl="discrete">
      <location width="11"/>
      <labl>
        date of first introduction into of NUHDSS individual (%td format)
      </labl>
      <respUnit>
        The respondent.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the NUHDSS individual.
      </universe>
      <sumStat type="vald">
        201454
      </sumStat>
      <sumStat type="min">
        1900-01-01
      </sumStat>
      <sumStat type="max">
        9998-07-01
      </sumStat>
      <txt>
        The date of first introduction of the NUHDSS individual into the DSA.
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V5" name="ind_ethnicity" files="F1" dcml="0" intrvl="discrete">
      <location width="26"/>
      <labl>
        ethnicity of NUHDSS individual
      </labl>
      <respUnit>
        The respondent.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="1" max="9999995"/>
      </valrng>
      <universe clusion="I">
        All the NUHDSS individual.
      </universe>
      <sumStat type="vald">
        242787
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The ethnicity of NUHDSS individual.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kikuyu
        </labl>
        <catStat type="freq">
          61349
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          luhya
        </labl>
        <catStat type="freq">
          40996
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          luo
        </labl>
        <catStat type="freq">
          35504
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          kamba
        </labl>
        <catStat type="freq">
          64060
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          meru
        </labl>
        <catStat type="freq">
          3064
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          embu
        </labl>
        <catStat type="freq">
          1618
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          kisii
        </labl>
        <catStat type="freq">
          17170
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          mijikenda
        </labl>
        <catStat type="freq">
          431
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          swahili
        </labl>
        <catStat type="freq">
          63
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          somali
        </labl>
        <catStat type="freq">
          2453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          taita
        </labl>
        <catStat type="freq">
          615
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          taveta
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          masai
        </labl>
        <catStat type="freq">
          534
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          kalenjin
        </labl>
        <catStat type="freq">
          1715
        </catStat>
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      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          garre
        </labl>
        <catStat type="freq">
          4495
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          borana
        </labl>
        <catStat type="freq">
          3113
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          other:ajuran
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          other:bajuni
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          other:burji
        </labl>
        <catStat type="freq">
          54
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          other:gabra
        </labl>
        <catStat type="freq">
          140
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          other:harsi
        </labl>
        <catStat type="freq">
          17
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          other:kuria
        </labl>
        <catStat type="freq">
          584
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          other:malakote
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          other:mbeere
        </labl>
        <catStat type="freq">
          553
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          other:tharaka
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          other:munyoyaya
        </labl>
        <catStat type="freq">
          18
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          other:nubian
        </labl>
        <catStat type="freq">
          8
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          other:orma
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          other:oromo
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          other:pokomo
        </labl>
        <catStat type="freq">
          24
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          other:rendille
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          other:sabaoti
        </labl>
        <catStat type="freq">
          28
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          other:sakuye
        </labl>
        <catStat type="freq">
          22
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          other:samburu
        </labl>
        <catStat type="freq">
          64
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          other:suba
        </labl>
        <catStat type="freq">
          34
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          other:teso
        </labl>
        <catStat type="freq">
          429
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          other:turkana
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          non-kenyan
        </labl>
        <catStat type="freq">
          110
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          other non-kenyan:burundian
        </labl>
        <catStat type="freq">
          3
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          other non-kenyan:ethiopian
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          other non-kenyan:rwandese
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          other non-kenyan:somalian
        </labl>
        <catStat type="freq">
          13
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          other non-kenyan:sudanese
        </labl>
        <catStat type="freq">
          2
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          other non-kenyan:tanzanian
        </labl>
        <catStat type="freq">
          179
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          other non-kenyan:ugandan
        </labl>
        <catStat type="freq">
          90
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          other
        </labl>
        <catStat type="freq">
          453
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          refused
        </labl>
        <catStat type="freq">
          1
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          99
        </catValu>
        <labl>
          NIU (not in universe)
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9999995
        </catValu>
        <labl>
          missing:impute
        </labl>
        <catStat type="freq">
          2590
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
