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<codeBook version="1.2.2" ID="TZA_2002_PHC_v01_M" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
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  <citation>
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      <IDNo>DDI_WB_TZA_2002_PHC_v01_M</IDNo>
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      <producer abbr="DECDG" affiliation="World Bank" role="Documentation of the DDI">Development Economics Data Group</producer>
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      <version>Version 01 (August 2011)</version>
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  <citation>
    <titlStmt>
      <titl>Population and Housing Census 2002</titl>
      <subTitl/>
      <altTitl>PHC 2002</altTitl>
      <parTitl/>
      <IDNo>TZA_2002_PHC_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="Ministry of Planning,Econnomy and Empowerment ">National Bureau of Statistics</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2021-03-29">NADA</software>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="" URI="http://www.nbs.go.tz" email="itdept@nbs.go.tz">National Bureau of Statistics</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Population and Housing Census [hh/popcen]</serName>
      <serInfo>The 2002 Population and Housing Census was the fourth census to be undertaken during the post-independence period.</serInfo>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>The Government recognizes the fact that Population and Housing Census is the single most important source of demographic and socio-economic data in the country. Population and Housing Census data are important in the preparation of social and economic development policies, in monitoring improvement in the quality of life of the population and in establishment of the system of sustainable development. Population and Housing Census data will also provide a sampling frame for intercensal surveys which will be conducted in order to generate policies which will support the implementation process of the Tanzania Development Vision 2025 and the Zanzibar Development Vision 2020as well as social and economic reforms in a decentralized Government framework.

At the planning level, the Population and Housing Census data will play a central role in the formulation of realistic development of people. In the Tanzania situation where the Government is decentralizing its functions to the district level, reliable and up-to-date population and Housing Census data will help district authorities to prepare development plans, which will reflect the aspirations of the people.

Given the Government goals of, one, reducing the proportion of Tanzanians living in absolute poverty by the year 2010, and two, of eradicating absolute poverty by the year 2025, the 2002 population and Housing Census has enabled the Government to get data which will be used to develop poverty status predictors. As such the 2002 population and Housing Census is an important source of data for poverty monitoring activities. Finally, the 2002 population and Housing Census has enabled the Government to get data on population growth and distribution by age, sex and location and their relationship to the resource base i.e. their impact on the environment.</abstract>
    <sumDscr>
      <collDate date="2002-08-25" event="start" cycle=""/>
      <collDate date="2002-08-25" event="end" cycle=""/>
      <nation abbr="TZA">Tanzania</nation>
      <geogCover>National</geogCover>
      <geogUnit/>
      <anlyUnit>- Households
- Individuals</anlyUnit>
      <universe/>
      <dataKind>Census/enumeration data [cen]</dataKind>
    </sumDscr>
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     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
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    <notes>The scope of Tanzania PHC 2002 includes:
- Household demography
- Education
- Economic activity
- Fertility
- Mortality
- Housing conditions</notes>
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        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
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      <frequenc/>
      <sampProc/>
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        <sampleFrameName/>
        <custodian/>
        <universe/>
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          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face [f2f]</collMode>
      <resInstru>There were two types of census questionnaires namely the long and the short questionnaire. The first eight questions, which appeared in both questionnaires, were name, relation to the head of the household, age, sex, marital status, disability and citizenship. 

In addition the long questionnaire included extra questions on the following topics.
1. Survivorship of the parents of the person
2. Migration
3. Education for all persons 5 years and above
4. Economic Activity for all persons 5 year and above
5. Fertility of all women aged 12 years and above
6. Mortality
7. Housing conditions

Overall, the long questionnaire comprised 37 questions. Questionnaires were in Swahili Language.</resInstru>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
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      <collSitu/>
      <actMin/>
      <ConOps/>
      <weight/>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr>Census data based on the long questionnaire is subject to sampling errors. Sampling errors of estimates for selected variables were estimated. For the sake of simplicity, sampling errors were calculated by using a formula for linear estimates without taking into account the ratio estimation. The detail for the sampling errors found from page 192 to 193 of the analytical report.</EstSmpErr>
      <dataAppr/>
    </anlyInfo>
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  <dataAccs>
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      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
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    <notes/>
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  <notes/>
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<dataDscr>
</dataDscr></codeBook>
