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KwaZulu-Natal Development Indicators Household Survey 1996

South Africa, 1996
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Reference ID
ZAF_1996_KDIHS_v01_M
Producer(s)
KwaZulu-Natal Provincial Government, Human Sciences Research Council
Metadata
DDI/XML JSON
Study website
Created on
Sep 16, 2015
Last modified
Mar 29, 2019
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  • Study Description
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  • Identification
  • Scope
  • Coverage
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  • Sampling
  • Data collection
  • Access policy
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  • Metadata production
  • Identification

    Survey ID number

    ZAF_1996_KDIHS_v01_M

    Title

    KwaZulu-Natal Development Indicators Household Survey 1996

    Country
    Name Country code
    South Africa ZAF
    Study type

    Other Household Survey [hh/oth]

    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.

    Unit of Analysis

    Two persons/respondents per household.

    Scope

    Keywords
    Type of dwelling Income and expenditure variables Agricultural production Toilet facility Water supply – type and proximity Standard of living Births and deaths Immunisation Literacy and development goals

    Coverage

    Geographic Coverage

    KwaZulu-Natal, South Africa.

    Universe

    All households within the KwaZulu-Natal province

    Producers and sponsors

    Primary investigators
    Name
    KwaZulu-Natal Provincial Government
    Human Sciences Research Council
    Funding Agency/Sponsor
    Name
    KwaZulu-Natal Provincial Government

    Sampling

    Sampling Procedure

    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.

    Weighting

    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.

    Data collection

    Dates of Data Collection
    Start End
    1996-11-01 1996-12-31
    Data Collectors
    Name
    Medway Search CC
    Data Collection Notes

    Data collection was done using a structured interview schedule/questionnaire including a Zulu version.

    Access policy

    Archive where study is originally stored

    South African Data Archive
    http://sada-data.nrf.ac.za/
    Cost: None

    Data Access

    Access authority
    Name Affiliation URL Email
    South African Data Archive National Research Foundation http://sada-data.nrf.ac.za sada@nrf.ac.za
    Access 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.

    Citation requirements

    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

    Disclaimer and copyrights

    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.

    Metadata production

    DDI Document ID

    DDI_ZAF_1996_KDIHS_v01_M_WB

    Producers
    Name Affiliation Role
    Development Economics Data Group The World Bank Documentation of the DDI
    Date of Metadata Production

    2015-09-08

    Metadata version

    DDI Document version

    Version 01 (September 2015)

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