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<codeBook version="1.2.2" ID="PER_2005_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">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_PER_2005_PHC_v01_M_WB</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="DECDG" affiliation="The World Bank" role="Documentation of the DDI">Development Data Group</producer>
      <prodDate date="2014-02-10">2014-02-10</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 01 (February 2014)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Population and Housing Census 2005</titl>
      <subTitl/>
      <altTitl>PHC 2005</altTitl>
      <parTitl/>
      <IDNo>PER_2005_PHC_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">Instituto Nacional de Estadística e Informática</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2021-03-31">NADA</software>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="" URI="http://www.inei.gob.pe/cpv2005/" email="">Instituto Nacional de Estadística e Informática</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Population and Housing Census [hh/popcen]</serName>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>Starting in year 2005, Peru’s National Institute of Statistics is implementing a new methodology for its national population and housing censuses. This consists mainly in carrying out a universal headcount every 10 years with basic questions on demographic characteristics and living conditions, together with a continuous household survey throughout the decade in which more detailed data will be obtain from a national sample of households. This sample will include approximately 300,000 households yearly. This survey will provide a permanently updated database with information that currently was being obtained only once in about ten years.

Year 2005 population and housing censuses began with a universal headcount that lasted little over a month, starting 18th of July and ending on the 20th of August, as a de jure procedure, and the first results will be available at the end of November, 2005. This has covered around 27 million persons, which is Peru’s estimated population at present, and the housing questions covered approximately 7 million homes, which is the estimated quantity of Peru’s households at present. Thus, each individual and each set of living quarters have been enumerated separately and the characteristics thereof have been separately recorded, complying with the first essential feature of population and housing censuses -- individual enumeration -- by means of the collection of information in the field.</abstract>
    <sumDscr>
      <collDate date="2005-07-18" event="start" cycle=""/>
      <collDate date="2005-08-20" event="end" cycle=""/>
      <nation abbr="PER">Peru</nation>
      <geogCover>National</geogCover>
      <geogUnit/>
      <anlyUnit>- Household;
- Individual.</anlyUnit>
      <universe>Peru's year 2005 national house and population censuses included person present and/or residing within its scope.</universe>
      <dataKind>Census/enumeration data [cen]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     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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    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes>The 2005 Peru Population and Housing Census covers the following topics: age, sex, and education level, tenure, construction materials, main source of lighting, water and sewer conditions, number of rooms and bedrooms, and the main source of energy for cooking.</notes>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
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    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
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  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <dataCollector abbr="INEI" affiliation="">Instituto Nacional de Estadística e Informática</dataCollector>
      <!-- collectorTraining - DDI2.5
        
        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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      <collectorTraining type=""/>
      <frequenc/>
      <sampProc/>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face [f2f]</collMode>
      <resInstru>The censuses included seven questions relating to basic population characteristics (age, sex, and education level); and 11 questions on housing (tenure, construction materials, main source of lighting, water and sewer conditions, number of rooms and bedrooms, and the main source of energy for cooking).</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.
        -->
      <instrumentDevelopment type=""/>
      <collSitu>To carry out the field operation, Peru’s National Statistics Institute hired and trained around 25 thousand interviewers who will be required to have at least Bachelor’s Degree. This will ensure a better quality of data gathering, as compared with high school students who were the traditional source of volunteer interviewers in a de facto procedure for previous population census that was carried out in a single day and forcing the entire country to stay home during census day. Thus, with respect to simultaneity as the third essential feature of population and housing censuses, Peru’s choice was referred to a well-defined reference period.</collSitu>
      <actMin/>
      <ConOps/>
      <weight/>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
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    <codingInstructions relatedProcesses="" type="">
      <txt/>
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  </method>
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      <accsPlac URI=""/>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <restrctn/>
      <citReq>Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download

Example:
Instituto Nacional de Estaditica e Informatica. Peru Population and Housing Census 2005. Ref. PER_2005_PHC_v01_M. Dataset downloaded from www.measuredhs.com on [date]</citReq>
      <deposReq/>
      <conditions/>
      <disclaimer>The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
