<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="ZAF_1996_KDIHS_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_ZAF_1996_KDIHS_v01_M_WB</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="DECDG" affiliation="The World Bank" role="Documentation of the DDI">Development Economics Data Group</producer>
      <prodDate date="2015-09-08">2015-09-08</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>Version 01 (September 2015)</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>KwaZulu-Natal Development Indicators Household Survey 1996</titl>
      <subTitl/>
      <altTitl>KDIHS 1996</altTitl>
      <parTitl/>
      <IDNo>ZAF_1996_KDIHS_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">KwaZulu-Natal Provincial Government</AuthEnty>
      <AuthEnty affiliation="">Human Sciences Research Council</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright/>
      <software version="5.0" date="2021-04-02">NADA</software>
      <fundAg abbr="" role="">KwaZulu-Natal Provincial Government</fundAg>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Other Household Survey [hh/oth]</serName>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date=""/>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">Type of dwelling</keyword>
      <keyword vocab="" vocabURI="">Income and expenditure variables</keyword>
      <keyword vocab="" vocabURI="">Agricultural production</keyword>
      <keyword vocab="" vocabURI="">Toilet facility</keyword>
      <keyword vocab="" vocabURI="">Water supply – type and proximity</keyword>
      <keyword vocab="" vocabURI="">Standard of living</keyword>
      <keyword vocab="" vocabURI="">Births and deaths</keyword>
      <keyword vocab="" vocabURI="">Immunisation</keyword>
      <keyword vocab="" vocabURI="">Literacy and development goals</keyword>
    </subject>
    <abstract>This project commissioned by the KwaZulu-Natal Provincial Government was designed to obtain baseline data on subjective and objective development indicators. The project comprised a household survey conducted during November and December 1996. The complete survery covered at least 6 500 households acress the province of KwaZulu-Natal. It followed a pilot study of perceptions of development conducted among 678 adults in October 1995. As one of the most comprehensive contributions on development indicators in the history of South Africa, it is the first large survey covering the usual "hard" indicators - such as service delivery levels - and peoples' comments and perceptions of these services and of their governments' development programmes and priorities. The study/project was motivated by the need to establish an information database for the preparation and monitoring of the province's RDP business and development plans, to synthesise subjectively articulated (bottom-up) and objectively defined (top-down) approaches to the determination of needs, to modify and improve on the usefulness of the Human Development Index (HDI),to provide an opportunity for research capacity building among civil servants and thereby providing a means to effect good governance practices and, to provide a basis for the development of objective matrices, objectives-by-time-scales and, a semi-rational budgeting and planning tool.</abstract>
    <sumDscr>
      <collDate date="1996-11-01" event="start" cycle=""/>
      <collDate date="1996-12-31" event="end" cycle=""/>
      <nation abbr="ZAF">South Africa</nation>
      <geogCover>KwaZulu-Natal, South Africa.</geogCover>
      <geogUnit/>
      <anlyUnit>Two persons/respondents per household.</anlyUnit>
      <universe>All households within the KwaZulu-Natal province</universe>
      <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/>
    <!-- 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="" affiliation="">Medway Search CC</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>The survey covered the 66 magisterial districts of KwaZulu-Natal but the two Hlabisa districts and the two Ubombo districts were each combined into single districts for the purpose of the study, thereby creating 64 “study domains”. Stratified sampling by study domain and socio-economic category was conducted. The Enumerator Area (EA), as the smallest countable area available in the 1991 census dataset, was used as the smallest spatial unit for the selection of the households. Households were clustered at the Enumerator Area (EA) level, i.e. instead of each household being
sampled separately, the group of households was sampled for each visited EA. Where two or more households were found at the same visiting point, the interviewer applied simple random selection procedures to select the household at which the interview would take place.</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>Data collection was done using a structured interview schedule/questionnaire including a Zulu version.</collSitu>
      <actMin/>
      <ConOps/>
      <weight>Three sets of weights were produced, namely a smoothing weight, a district weight  and a combined weight of the previous two weights. The smoothing weight is for use in analyses at the magisterial district level to rectify disproportions resulting from clustering of respondents into groups of five. The district weight is for use in analyses at the level of province, or for any combination of districts or sub-regions rectifying for disproportions across districts. The combined weight is for use in analyses at the provincial/sub-regional level and rectifies both the disproportions 
that are the result of clustering and the disproportions across districts.</weight>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI=""/>
      <origArch>South African Data Archive
http://sada-data.nrf.ac.za/
Cost: None</origArch>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <restrctn/>
      <contact affiliation="National Research Foundation " URI="http://sada-data.nrf.ac.za" email="sada@nrf.ac.za">South African Data Archive</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</citReq>
      <deposReq/>
      <conditions>Users and Depositors should note that the data and documentation re-disseminated by the South African Data Archive do not belong to the archive but to the individual depositors of the data to the archive.

Currently there are no costs involved when ordering data and documentation from SADA.
To order data and documentation from SADA, please complete the online data order form
Complete an ORDER FORM (download in Microsoft Word or Adobe Acrobat format) and faxed, e-mailed or posted the request to SADA before the data can be made available to you.
Codebooks and other documentation are now available for download from our Data Portal.
Should you have any other information or research-related query, please send an e-mail to sada@nrf.ac.za
Note: Prior to distributing certain data and documentation, SADA has to contact the Principal Investigator in order to obtain permission.

Usage Regulations

The user should abide by the following regulations when using data and documentation from SADA:

The data and documentation will be used only for research, research training, teaching and policy decisions.
No attempt will be made to use the data to derive information on specifically identified individuals or households in the data.
The data and documentation received from SADA will not be duplicated without prior approval of the Director of SADA.
Both SADA and the Depositor will be acknowledged in all published works based on the data and documentation. The text for the citation is now part of the Study Description and metadata that is available on the Data Portal.
SADA and the Depositor of the data will not be held liable for the accuracy or comprehensiveness of the data.</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>
