Record Details

KwaZulu-Natal [South Africa] Development Indicators Household Survey, 1996 (M1066V1)

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title KwaZulu-Natal [South Africa] Development Indicators Household Survey, 1996 (M1066V1)
 
Identifier https://doi.org/10.7910/DVN/BJZEAK
 
Creator KwaZulu-Natal Provincial Government
Human Sciences Research Council (HSRC)
 
Publisher Harvard Dataverse
 
Description 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 survey covered at least 6 500 households across 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. 1 data file with 6,606 cases.
 
Subject Social Sciences
 
Language English
 
Date 1996
 
Contributor University of California. Los Angeles. Social Science Data Archive
 
Type Structured interview schedule/questionnaire including a Zulu version