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  <titleInfo>
    <title>Principios y recomendaciones para los censos de población y habitación</title>
  </titleInfo>
  <name type="corporate">
    <namePart>UN. Statistical Division</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
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    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>UN</publisher>
    <dateIssued>2008</dateIssued>
    <dateIssued encoding="marc" point="start">2008</dateIssued>
    <edition>Revisión 2</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xix, 420 p. charts, tables 28 cm.</extent>
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  <note>At head of title: Asuntos esonómicos y sociales</note>
  <note>Annexes (p. 255-391): 1. The International Classfication of Functioning and Disability (ICF) model -- 2. Recommended tabulations for population census -- 3. Recommended tabulations for housing censuses -- 4. Additional tabulations for population censuses -- 5. Additional tabulations for housing censuses.</note>
  <note>Includes bibliographical references (p. 393-397) and index.</note>
  <note>Available also at Statistics Division website (viewed 28 Oct. 2009).</note>
  <subject>
    <topic>Guidelines</topic>
  </subject>
  <subject>
    <topic>Statistical Methodology</topic>
  </subject>
  <subject>
    <topic>Population censuses</topic>
  </subject>
  <subject>
    <topic>Housing censuses</topic>
  </subject>
  <subject>
    <topic>Recommendations</topic>
  </subject>
  <classification authority="">ST/ESA/STAT/SER.M/67/Rev.2</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Statistical papers. Series M / Department of Economic Statistics Division no.67, rev.2</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">978921615050</identifier>
  <identifier type="uri">http://unstats.un.org/unsd/publication/Seriesm_67rev2e.pdf</identifier>
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    <url displayLabel="English">http://unstats.un.org/unsd/publication/Seriesm_67rev2e.pdf</url>
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