ZAF_1996_KDIHS_v01_M
KwaZulu-Natal Development Indicators Household Survey 1996
Name | Country code |
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South Africa | ZAF |
Other Household Survey [hh/oth]
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.
Two persons/respondents per household.
KwaZulu-Natal, South Africa.
All households within the KwaZulu-Natal province
Name |
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KwaZulu-Natal Provincial Government |
Human Sciences Research Council |
Name |
---|
KwaZulu-Natal Provincial Government |
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.
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.
Start | End |
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1996-11-01 | 1996-12-31 |
Name |
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Medway Search CC |
Data collection was done using a structured interview schedule/questionnaire including a Zulu version.
South African Data Archive
http://sada-data.nrf.ac.za/
Cost: None
Name | Affiliation | URL | |
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South African Data Archive | National Research Foundation | http://sada-data.nrf.ac.za | sada@nrf.ac.za |
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DDI_ZAF_1996_KDIHS_v01_M_WB
Name | Affiliation | Role |
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Development Economics Data Group | The World Bank | Documentation of the DDI |
2015-09-08
Version 01 (September 2015)