<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="LBR_2008_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_LBR_2008_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="2014-03-05">2014-03-05</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 01 (March 2014)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Population and Housing Census 2008</titl>
      <subTitl/>
      <altTitl>PHC 2008</altTitl>
      <parTitl/>
      <IDNo>LBR_2008_PHC_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">United Nations Population Fund</AuthEnty>
      <AuthEnty affiliation="">Liberia Institute of Statistics and Geo-Information Services</AuthEnty>
    </rspStmt>
    <prodStmt>
      <producer abbr="" affiliation="" role="GIS">United Nations Mission in Liberia</producer>
      <producer abbr="" affiliation="" role="Provision of equipment">United States Agency for International Development</producer>
      <copyright/>
      <software version="5.0" date="2021-03-31">NADA</software>
      <fundAg abbr="UNFPA" role="Funding of study tours">United Nations Population Fund</fundAg>
      <fundAg abbr="UNICEF" role="Funding for the Post-Enumeration Survey">United Nations Children’s Fund</fundAg>
      <fundAg abbr="WB/PARIS 21" role="Funding for the main data processing phase">World Bank/PARIS 21</fundAg>
      <fundAg abbr="AfDB" role="Data analysis, publication and dissemination of the final data">African Development Bank</fundAg>
      <fundAg abbr="UNDP" role="Part-payment of the training allowances of enumerators">United Nations Development Programme</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="" URI="http://www.emansion.gov.lr/index.php" email="info@emansion.gov.lr">Ministry of State for Presidential Affairs</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Population and Housing Census [hh/popcen]</serName>
      <serInfo>The first Liberia census was conducted in 1962, followed by the 1974 Population and Housing Census. In 1984, the third census programme was executed. Unlike the censuses before it, the Final Report of the 1984 Population and Housing Census was never published. The manuscript and most of the data went missing during the civil war. According to United Nations prescriptions, Liberia should have held two censuses in 1994 and 2004 but the disruptions of civil order could not allow this to happen.</serInfo>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
                  
                  
    </subject>
    <abstract>The Government of Liberia considered the 2008 National Population and Housing Census (NPHC) a necessary prerequisite for assessing the socio-economic needs of its population and, hence, it attaches great importance to the determination of the current numbers and distribution of the population in pursuance of its program for national development. Therefore, the census organization provided for participation at all levels of Government, civil society and non-governmental organizations through the formation of committees, working in close collaboration with and under the direct supervision of authority from the Census Commission.

The mapping exercise that preceded the census canvassed the whole country and drew all boundaries of the administrative hierarchy and geographically positioned the various localities. Hence, the 2008 Population and Housing Census (NPHC) will, to a certain extent, bridge the statistics gaps mentioned above by offering national and sub-national baseline statistics and updated demographic indicators.

Globally, the methodology of census taking has been improving over the years and the 2008 NPHC portrays these improvements. However, there are two basic additions to this census; foremost, the shift from the de jure censuses of 1962, 1974 and 1984 to a de facto census in 2008 and, secondly, the inclusion of an Agricultural Module. The de jure census records usual residents of the household while the de facto one records persons who spent a reference night in the household. De facto censuses are easier to conduct and, hence, most countries adopt them. Liberia being a predominantly agricultural country, the 'Agricultural Module' was introduced with the aim of generating a sampling frame that will be used to design and implement agricultural surveys in the future.

The enumeration started on the morning of 21st of March, 2008 and ended in the evening of 30th March, 2008. It was done by trained enumerators who administered a standard questionnaire to the household heads or any other knowledgeable household members. Arrangements were made to ensure that special categories of the population were enumerated; for example, street children who do not live in formal households, in-mates in hotels and transients at air and sea ports.</abstract>
    <sumDscr>
      <collDate date="2008-03-21" event="start" cycle=""/>
      <collDate date="2008-03-27" event="end" cycle=""/>
      <nation abbr="LBR">Liberia</nation>
      <geogCover>National</geogCover>
      <geogUnit/>
      <anlyUnit>- Individuals;
- Households.</anlyUnit>
      <universe/>
      <dataKind>Sample survey data [ssd]</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.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes>The scope of the PHC includes:
- Age and Sex
- Relationship
- Ethic Affiliation/Citizenship
- Religion
- Marital status
- Displacement and Resettlement
- Disability
- Education
- Labour Force
- Birth place, previous residence and duration of residence
- Orphan-hood
- Particulars of live births
- Housing conditions and household amenities
- Agriculture</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.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <dataCollector abbr="LISGIS" affiliation="">Liberia Institute of Statistics and Geo-Information Services</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.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc/>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face [f2f]</collMode>
      <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>A total of 81 persons were recruited, trained and deployed to prepare the enumeration area (EA) maps for the entire country. They worked in five statistical zones and divided the whole country into EAs using 1:50,000/1:250000 topographical maps and satellite imageries.

Each EA comprising 80 to 120 households was demarcated as far as possible following identifiable physical features on the ground. They were delineated within the clans (rural areas) or communities (urban areas). All EAs were assigned geographic codes that identified them uniquely in terms of their geographical location or the placement within the clans/communities, district and counties.</collSitu>
      <actMin/>
      <ConOps/>
      <weight/>
      <cleanOps>The processing of data collected in a census constitutes one of the most important and challenging activities that have to be undertaken efficiently and expeditiously in order to justify the immense resources invested in a census. This activity entailed several processes: manual editing of the questionnaires after enumeration, data capture, data cleaning and validation, and finally tabulation. Intelligence character recognition (ICR) technology will be employed for data capture.

Government’s commitment to provide provisional results within two and half months after enumeration and final results within another six months greatly influenced the strategies and actions adopted at every stage of data processing in order to adhere to the commitment.</cleanOps>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI=""/>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <restrctn/>
      <contact affiliation="" URI="http://www.emansion.gov.lr/index.php" email="info@emansion.gov.lr">Ministry of State for Presidential Affairs</contact>
      <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:

United Nations Population Fund, Liberia Institute of Statistics and Geo-Information Services. Liberia Population and Housing Census 2008. Ref. LBR_2008_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>
