<?xml version='1.0' encoding='UTF-8'?>
<codeBook version="1.2.2" ID="APHRC-NUHDSS-HOUSEHOLD-HEAD-1.0" 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 - HOUSEHOLD HEADSHIP 1.0
        </titl>
        <IDNo>
          APHRC-NUHDSS-HOUSEHOLD-HEAD-1.0
        </IDNo>
      </titlStmt>
      <prodStmt>
        <producer abbr="APHRC" affiliation="APHRC" role="Data Collection, Processing, and Documentation">
          African Population and Health Research Center
        </producer>
        <prodDate date="2017-06-07">
          2017-06-07
        </prodDate>
        <software version="4.0.9" date="2013-04-23">
          Nesstar Publisher
        </software>
      </prodStmt>
      <verStmt>
        <version>
          Version 1.0, June 2017.
        </version>
      </verStmt>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>
          NUHDSS - Household Headship 2002-2015
        </titl>
        <IDNo>
          APHRC-NUHDSS-HOUSEHOLD-HEAD-1.0
        </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>
        <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">
          The Bill and Melinda Gates Foundation (USA)
        </fundAg>
      </prodStmt>
      <serStmt>
        <serName>
          Other Household Survey [hh/oth]
        </serName>
      </serStmt>
      <verStmt>
        <version date="2017-06-07"/>
      </verStmt>
      <holdings URI="doi:10.20369/aphrc-043:2003.1.0"/>
    </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 householdship of each individual for each round and the householdheadship of each household for each round.
      </abstract>
      <sumDscr>
        <collDate date="2002-08-01" event="start" cycle="Round 0 and Round 1"/>
        <collDate date="2002-12-20" event="end" cycle="Round 0 and Round 1"/>
        <collDate date="2003-01-13" event="start" cycle="Round 2, Round 3 and Round 4"/>
        <collDate date="2003-12-19" event="end" cycle="Round 2, Round 3 and Round 4"/>
        <collDate date="2004-01-12" event="start" cycle="Round 5, Round 6 and Round 7"/>
        <collDate date="2004-12-22" event="end" cycle="Round 5, Round 6 and Round 7"/>
        <collDate date="2005-01-10" event="start" cycle="Round 8, Round 9 and Round 10"/>
        <collDate date="2005-11-18" event="end" cycle="Round 8, Round 9 and Round 10"/>
        <collDate date="2006-01-09" event="start" cycle="Round 11, Round 12 and Round 13"/>
        <collDate date="2006-12-22" event="end" cycle="Round 11, Round 12 and Round 13"/>
        <collDate date="2007-01-08" event="start" cycle="Round 14, Round 15 and Round 16"/>
        <collDate date="2007-12-21" event="end" cycle="Round 14, Round 15 and Round 16"/>
        <collDate date="2008-01-07" event="start" cycle="Round 17 and Round 18"/>
        <collDate date="2008-12-19" event="end" cycle="Round 17 and Round 18"/>
        <collDate date="2009-01-05" event="start" cycle="Round 19, Round 20 and Round 21"/>
        <collDate date="2009-12-18" event="end" cycle="Round 19, Round 20 and Round 21"/>
        <collDate date="2010-01-04" event="start" cycle="Round 22, Round 23 and Round 24"/>
        <collDate date="2010-12-17" event="end" cycle="Round 22, Round 23 and Round 24"/>
        <collDate date="2011-01-03" event="start" cycle="Round 25, Round 26 and Round 27"/>
        <collDate date="2011-12-22" event="end" cycle="Round 25, Round 26 and Round 27"/>
        <collDate date="2012-01-09" event="start" cycle="Round 28, Round 29 and Round 30"/>
        <collDate date="2012-12-21" event="end" cycle="Round 28, Round 29 and Round 30"/>
        <collDate date="2013-01-07" event="start" cycle="Round 31 and Round 32"/>
        <collDate date="2013-12-20" event="end" cycle="Round 31 and Round 32"/>
        <collDate date="2014-01-06" event="start" cycle="Round 33, Round 34 and Round 35"/>
        <collDate date="2014-12-19" event="end" cycle="Round 33, Round 34 and Round 35"/>
        <collDate date="2015-01-05" event="start" cycle="Round 37 and Round 38"/>
        <collDate date="2015-12-21" event="end" cycle="Round 37 and Round 38"/>
        <nation abbr="KEN">
          KENYA
        </nation>
        <geogCover>
          Two informal settlements (slums) in Nairobi county, Kenya (specifically, Korogocho and Viwandani slums).
        </geogCover>
        <anlyUnit>
          All individuals
        </anlyUnit>
        <universe>
          The survey covers all the individuals in all the households in the DSA.
        </universe>
      </sumDscr>
      <notes>
        <![CDATA[Householdship:
This includes the ID of NUHDSS individual, ID of NUHDSS household, relationship to household head at start event, round of household membership.

Householdheadship:
This includes round of householdheadship, ID of NUHDSS household head, householdheadship start date, householdheadship end date, date of birth of NUHDSS household head, gender of NUHDSS household head and ethnicity of NUHDSS household head.]]>
      </notes>
    </stdyInfo>
    <method>
      <dataColl>
        <sampProc>
          No sampling was done, all the individuals in all the households in the DSA were interviewed.
        </sampProc>
        <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) and using Netbooks (Round 39 onwards) in assigned zone within the study site
     - 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).
2. Using Netbooks (Round 39 onwards).

In both cases, data were 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 affiliation="APHRC" URI="www.aphrc.org" email="datarequest@aphrc.org">
          African Population and Health Research Center
        </contact>
        <citReq>
          African Population and Health Research Center (APHRC), Nairobi Urban Health and Demographic Surveillance System - Household Headship 2002-2015, Version 1.0 June 2017. doi:10.20369/aphrc-043:2003.1.0
        </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="F8" URI="NUHDSS - HOUSEHOLD HEADSHIP 1.0.Nesstar?Index=0&amp;Name=Householdship_anon">
    <fileTxt>
      <fileName>
        Householdship_anon.NSDstat
      </fileName>
      <fileCont>
        The file contains data related to the ID of NUHDSS individual, ID of NUHDSS household, relationship to household head at start event and round of household membership.
      </fileCont>
      <fileStrc type="relational">
        <recGrp keyvar="V40 V42"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          2330820
        </caseQnty>
        <varQnty>
          6
        </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>
  <fileDscr ID="F7" URI="NUHDSS - HOUSEHOLD HEADSHIP 1.0.Nesstar?Index=1&amp;Name=Household_heads_anon">
    <fileTxt>
      <fileName>
        Household_heads_anon.NSDstat
      </fileName>
      <fileCont>
        The file contains data related to the ID of NUHDSS household,round of NUHDSS data collection, household headship start date, household headship end date, ID of NUHDSS household head,full name of NUHDSS household head, date of birth of NUHDSS household head, gender of NUHDSS household head and ethnicity of NUHDSS household head.
      </fileCont>
      <fileStrc type="relational">
        <recGrp keyvar="V31 V32"/>
      </fileStrc>
      <dimensns>
        <caseQnty>
          1016491
        </caseQnty>
        <varQnty>
          8
        </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="VG2" type="subject">
      <labl>
        BACKGROUND
      </labl>
    </varGrp>
    <varGrp ID="VG1" type="subject">
      <labl>
        INDIVIDUAL CHARACTERISTICS
      </labl>
    </varGrp>
    <var ID="V39" name="hhd_individualid_anon" files="F8" intrvl="discrete">
      <location width="36"/>
      <labl>
        ID of NUHDSS individual
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the individuals
      </universe>
      <sumStat type="vald">
        2330820
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ID of the NUHDSS individual.
      </txt>
      <varFormat type="character" schema="other"/>
      <notes>
        <![CDATA[An individual can only have a single record in the individual file (Benedict).
An individual can only have a single record in the individual file (Benedict).
An individual can only have a single record in the individual file (Benedict).
An individual can only have a single record in the individual file (Benedict).
An individual can only have a single record in the individual file (Benedict).]]>
      </notes>
    </var>
    <var ID="V40" name="hhd_hhid_anon" files="F8" intrvl="discrete">
      <location width="36"/>
      <labl>
        ID of NUHDSS household
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the individuals
      </universe>
      <sumStat type="vald">
        2330820
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ID of the NUHDSS household.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V41" name="hhd_reltohhh" files="F8" dcml="0" intrvl="discrete">
      <location width="32"/>
      <labl>
        relationship to household head at start event
      </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 individuals
      </universe>
      <sumStat type="vald">
        2330820
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The relationship to the household head at start event.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          aunt
        </labl>
        <catStat type="freq">
          783
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          brother-in-law
        </labl>
        <catStat type="freq">
          2693
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          brother
        </labl>
        <catStat type="freq">
          24049
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          child
        </labl>
        <catStat type="freq">
          364285
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          cousin
        </labl>
        <catStat type="freq">
          19610
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          co-wife
        </labl>
        <catStat type="freq">
          4
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          daughter-in-law
        </labl>
        <catStat type="freq">
          706
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          grand child
        </labl>
        <catStat type="freq">
          25755
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          grand parent
        </labl>
        <catStat type="freq">
          260
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          household head
        </labl>
        <catStat type="freq">
          1229550
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          husband
        </labl>
        <catStat type="freq">
          9046
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          nephew
        </labl>
        <catStat type="freq">
          12829
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          niece
        </labl>
        <catStat type="freq">
          14918
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          not related
        </labl>
        <catStat type="freq">
          22437
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          parent
        </labl>
        <catStat type="freq">
          2500
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          parent-in-law
        </labl>
        <catStat type="freq">
          181
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          sister-in-law
        </labl>
        <catStat type="freq">
          6955
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          sister
        </labl>
        <catStat type="freq">
          18509
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          son-in-law
        </labl>
        <catStat type="freq">
          56
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          step child
        </labl>
        <catStat type="freq">
          6544
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          step parent
        </labl>
        <catStat type="freq">
          124
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          uncle
        </labl>
        <catStat type="freq">
          1037
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          wife
        </labl>
        <catStat type="freq">
          137234
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          other:great grand child
        </labl>
        <catStat type="freq">
          52
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          other:step sibling
        </labl>
        <catStat type="freq">
          12
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          other:boyfriend/girlfriend
        </labl>
        <catStat type="freq">
          20
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          non-related neighbour
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          other non-related non-HHD member
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          other related non-HHD member
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          other HHD member
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          55
        </catValu>
        <labl>
          related neighbour
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          56
        </catValu>
        <labl>
          sibling
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          self
        </labl>
        <catStat type="freq">
          7
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          58
        </catValu>
        <labl>
          spouse
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          other
        </labl>
        <catStat type="freq">
          5442
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          refused
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          26
        </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">
          425196
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V42" name="hhd_round_event" files="F8" dcml="0" intrvl="contin">
      <location width="9"/>
      <labl>
        round of household membership
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="42"/>
      </valrng>
      <universe clusion="I">
        All the individuals
      </universe>
      <sumStat type="vald">
        2330820
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        42
      </sumStat>
      <sumStat type="mean">
        21.06
      </sumStat>
      <sumStat type="stdev">
        12.52
      </sumStat>
      <txt>
        The round of household membership.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V43" name="hhd_startdate" files="F8" intrvl="discrete">
      <location width="11"/>
      <labl>
        householdship start date
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the individuals
      </universe>
      <sumStat type="vald">
        2330820
      </sumStat>
      <sumStat type="min">
        2002-08-01
      </sumStat>
      <sumStat type="max">
        2017-04-06
      </sumStat>
      <txt>
        The householdship start date.
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V44" name="hhd_enddate" files="F8" intrvl="discrete">
      <location width="11"/>
      <labl>
        householdship end date
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the individuals
      </universe>
      <sumStat type="vald">
        2330820
      </sumStat>
      <sumStat type="min">
        2002-09-27
      </sumStat>
      <sumStat type="max">
        2017-04-15
      </sumStat>
      <txt>
        The householdship end date.
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V31" name="hhh_hhid_anon" files="F7" intrvl="discrete">
      <location width="36"/>
      <labl>
        ID of NUHDSS household
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the households.
      </universe>
      <sumStat type="vald">
        1016491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ID of the NUHDSS household.
      </txt>
      <varFormat type="character" schema="other"/>
    </var>
    <var ID="V32" name="hhh_round" files="F7" dcml="0" intrvl="contin">
      <location width="10"/>
      <labl>
        round of householdheadship
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <valrng>
        <range min="0" max="42"/>
      </valrng>
      <universe clusion="I">
        All the households.
      </universe>
      <sumStat type="vald">
        1016491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <sumStat type="min">
        0
      </sumStat>
      <sumStat type="max">
        39
      </sumStat>
      <sumStat type="mean">
        20.466
      </sumStat>
      <sumStat type="stdev">
        11.272
      </sumStat>
      <txt>
        The round of NUHDSS data collection.
      </txt>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V33" name="hhh_startdate" files="F7" intrvl="discrete">
      <location width="11"/>
      <labl>
        household headship start date
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the households.
      </universe>
      <sumStat type="vald">
        1016491
      </sumStat>
      <sumStat type="min">
        2002-08-01
      </sumStat>
      <sumStat type="max">
        2015-12-31
      </sumStat>
      <txt>
        The household headship start date.
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V34" name="hhh_enddate" files="F7" intrvl="discrete">
      <location width="11"/>
      <labl>
        household headship end date
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the households.
      </universe>
      <sumStat type="vald">
        1016491
      </sumStat>
      <sumStat type="min">
        2002-08-03
      </sumStat>
      <sumStat type="max">
        2016-04-30
      </sumStat>
      <txt>
        The household headship end date.
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V35" name="hhh_individualid_anon" files="F7" intrvl="discrete">
      <location width="36"/>
      <labl>
        ID of NUHDSS household head
      </labl>
      <respUnit>
        The interviewer.
      </respUnit>
      <qstn>
        <preQTxt>
          na
        </preQTxt>
        <qstnLit>
          na
        </qstnLit>
        <postQTxt>
          na
        </postQTxt>
        <ivuInstr>
          na
        </ivuInstr>
      </qstn>
      <universe clusion="I">
        All the households.
      </universe>
      <sumStat type="vald">
        1016491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        ID of the NUHDSS household head.
      </txt>
      <varFormat type="character" schema="other"/>
      <notes>
        <![CDATA[An individual can only have a single record in the individual file (Benedict).
An individual can only have a single record in the individual file (Benedict).
An individual can only have a single record in the individual file (Benedict).
An individual can only have a single record in the individual file (Benedict).
An individual can only have a single record in the individual file (Benedict).]]>
      </notes>
    </var>
    <var ID="V36" name="hhh_datebirth" files="F7" intrvl="discrete">
      <location width="11"/>
      <labl>
        date of birth of NUHDSS household head (%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 households.
      </universe>
      <sumStat type="vald">
        1016491
      </sumStat>
      <sumStat type="min">
        1901-08-10
      </sumStat>
      <sumStat type="max">
        2008-04-07
      </sumStat>
      <txt>
        The date of birth of NUHDSS household head.
      </txt>
      <varFormat type="character" formatname="Nesstar.date" schema="other" category="date"/>
    </var>
    <var ID="V37" name="hhh_gender" files="F7" dcml="0" intrvl="discrete">
      <location width="21"/>
      <labl>
        gender of NUHDSS household head
      </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 households.
      </universe>
      <sumStat type="vald">
        1016491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The gender of NUHDSS household head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          female
        </labl>
        <catStat type="freq">
          207830
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          male
        </labl>
        <catStat type="freq">
          808661
        </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>
      <varFormat type="numeric" schema="other"/>
    </var>
    <var ID="V38" name="hhh_ethnicity" files="F7" dcml="0" intrvl="discrete">
      <location width="26"/>
      <labl>
        ethnicity of NUHDSS household head
      </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 households.
      </universe>
      <sumStat type="vald">
        1016491
      </sumStat>
      <sumStat type="invd">
        0
      </sumStat>
      <txt>
        The ethnicity of NUHDSS household head.
      </txt>
      <catgry>
        <catValu>
          1
        </catValu>
        <labl>
          kikuyu
        </labl>
        <catStat type="freq">
          314257
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          2
        </catValu>
        <labl>
          luhya
        </labl>
        <catStat type="freq">
          143413
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          3
        </catValu>
        <labl>
          luo
        </labl>
        <catStat type="freq">
          121864
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          4
        </catValu>
        <labl>
          kamba
        </labl>
        <catStat type="freq">
          298039
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          5
        </catValu>
        <labl>
          meru
        </labl>
        <catStat type="freq">
          12885
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          6
        </catValu>
        <labl>
          embu
        </labl>
        <catStat type="freq">
          7676
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          7
        </catValu>
        <labl>
          kisii
        </labl>
        <catStat type="freq">
          57019
        </catStat>
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      <catgry>
        <catValu>
          8
        </catValu>
        <labl>
          mijikenda
        </labl>
        <catStat type="freq">
          1329
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      <catgry>
        <catValu>
          9
        </catValu>
        <labl>
          swahili
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        <catStat type="freq">
          124
        </catStat>
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      <catgry>
        <catValu>
          10
        </catValu>
        <labl>
          somali
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        <catStat type="freq">
          9140
        </catStat>
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      <catgry>
        <catValu>
          11
        </catValu>
        <labl>
          taita
        </labl>
        <catStat type="freq">
          2859
        </catStat>
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      <catgry>
        <catValu>
          12
        </catValu>
        <labl>
          taveta
        </labl>
        <catStat type="freq">
          44
        </catStat>
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      <catgry>
        <catValu>
          13
        </catValu>
        <labl>
          masai
        </labl>
        <catStat type="freq">
          2106
        </catStat>
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      <catgry>
        <catValu>
          14
        </catValu>
        <labl>
          kalenjin
        </labl>
        <catStat type="freq">
          5299
        </catStat>
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      <catgry>
        <catValu>
          15
        </catValu>
        <labl>
          garre
        </labl>
        <catStat type="freq">
          13784
        </catStat>
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      <catgry>
        <catValu>
          16
        </catValu>
        <labl>
          borana
        </labl>
        <catStat type="freq">
          12348
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          17
        </catValu>
        <labl>
          other:ajuran
        </labl>
        <catStat type="freq">
          88
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          18
        </catValu>
        <labl>
          other:bajuni
        </labl>
        <catStat type="freq">
          9
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          19
        </catValu>
        <labl>
          other:burji
        </labl>
        <catStat type="freq">
          210
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          20
        </catValu>
        <labl>
          other:gabra
        </labl>
        <catStat type="freq">
          858
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          21
        </catValu>
        <labl>
          other:harsi
        </labl>
        <catStat type="freq">
          112
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          22
        </catValu>
        <labl>
          other:kuria
        </labl>
        <catStat type="freq">
          1517
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          23
        </catValu>
        <labl>
          other:malakote
        </labl>
        <catStat type="freq">
          15
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          24
        </catValu>
        <labl>
          other:mbeere
        </labl>
        <catStat type="freq">
          2642
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          25
        </catValu>
        <labl>
          other:tharaka
        </labl>
        <catStat type="freq">
          132
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          26
        </catValu>
        <labl>
          other:munyoyaya
        </labl>
        <catStat type="freq">
          60
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          27
        </catValu>
        <labl>
          other:nubian
        </labl>
        <catStat type="freq">
          85
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          28
        </catValu>
        <labl>
          other:orma
        </labl>
        <catStat type="freq">
          107
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          29
        </catValu>
        <labl>
          other:oromo
        </labl>
        <catStat type="freq">
          48
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          30
        </catValu>
        <labl>
          other:pokomo
        </labl>
        <catStat type="freq">
          75
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          31
        </catValu>
        <labl>
          other:rendille
        </labl>
        <catStat type="freq">
          43
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          32
        </catValu>
        <labl>
          other:sabaoti
        </labl>
        <catStat type="freq">
          68
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          33
        </catValu>
        <labl>
          other:sakuye
        </labl>
        <catStat type="freq">
          53
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          34
        </catValu>
        <labl>
          other:samburu
        </labl>
        <catStat type="freq">
          306
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          35
        </catValu>
        <labl>
          other:suba
        </labl>
        <catStat type="freq">
          169
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          36
        </catValu>
        <labl>
          other:teso
        </labl>
        <catStat type="freq">
          1428
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          37
        </catValu>
        <labl>
          other:turkana
        </labl>
        <catStat type="freq">
          130
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          50
        </catValu>
        <labl>
          non-kenyan
        </labl>
        <catStat type="freq">
          336
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          51
        </catValu>
        <labl>
          other non-kenyan:burundian
        </labl>
        <catStat type="freq">
          6
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          52
        </catValu>
        <labl>
          other non-kenyan:ethiopian
        </labl>
        <catStat type="freq">
          30
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          53
        </catValu>
        <labl>
          other non-kenyan:rwandese
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          54
        </catValu>
        <labl>
          other non-kenyan:somalian
        </labl>
        <catStat type="freq">
          36
        </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">
          583
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          57
        </catValu>
        <labl>
          other non-kenyan:ugandan
        </labl>
        <catStat type="freq">
          165
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          96
        </catValu>
        <labl>
          other
        </labl>
        <catStat type="freq">
          1359
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          97
        </catValu>
        <labl>
          refused
        </labl>
        <catStat type="freq">
          0
        </catStat>
      </catgry>
      <catgry>
        <catValu>
          98
        </catValu>
        <labl>
          don't know
        </labl>
        <catStat type="freq">
          2
        </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">
          3631
        </catStat>
      </catgry>
      <varFormat type="numeric" schema="other"/>
    </var>
  </dataDscr>
</codeBook>
