Migration and Settlement in the Cape Metropolitan Area 1999
The current study was undertaken by the Sociology Department of the University of Stellenbosch and the Cape Metropolitan Council (CMC) to support spatial development within the Cape Metropolitan Area (CMA).
At the time, Cape Town faced considerable challenges affecting the outcome of its urban undertaking. These challenges centred on (1) outside migration and its impact on the local economy, delivery needs and the spatial structure of the city; and (2) internal population movements, especially those associated with the informally housed population and the more settled poor. These trends had potential outcomes which were difficult to predict accurately and carry the threat of upsetting the delicate planning models, which were being introduced. Housing delivery for the disadvantaged sectors of the CMA population was falling further behind as informal occupation of land and informal housing continued to spread and proliferate (CMC, 1997a). Housing lists were not moving, and land invasions continued to take place. This study tried to address the uncertainty around inside and outside migration in relation to settlement, and to contribute to the refinement of the CMA's spatial planning and implementation initiative.
Kind of data
Sample survey data [ssd]
Version 01: Edited, anonymised data for licensed distribution
The survey covered the Cape Metropolitan Area (CMA) within the Western Province of South Africa.
The lowest level of geographic aggregation covered by the data is suburb.
Unit of analysis
Units of analysis in the survey were persons
The survey covered households in the Cape Metropolitan Area.
As part of the pre-survey qualitative research, 25 settlement areas were selected on the basis of a search for as much socio-economic and cultural diversity as possible. A ‘housing polygon’ map was made available to the research team in the selection. Distribution of these areas across the six Cape Metropolitan Area local council areas was also taken into consideration.
Producers and sponsors
University of Stellenbosch Department of Sociology
Cape Metropolitan Council (CMC)
A sample survey of 1000 randomly- selected Cape Metropolitan Area residents was designed. First, a list of all Enumerator areas falling within the CMA was obtained from the Statistics South Africa office in Cape Town. Secondly, the number of Cape Metropolitan Enumerator areas falling within each magisterial district was counted and a stratified random sample of 25 settlement areas (using electronically- generated random number selection techniques) was selected. Thirdly, detailed EA maps (showing residential units, streets names as well as public and other non-residential buildings) were obtained from Statistics South Africa for each of the 25 selected areas and 40 dwelling units were selected on a random spatial basis from each of these enumerator areas maps.
Dates of collection
Mode of data collection
South African Data Archive (SADA)
National Research Foundation
Licensed dataset, accessible under conditions.
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
Cape Metropolitan Council, Department of Housing and University of Stellenbosch, Department of Sociology. Migration and Settlement in the Cape Metropolitan Area 1999. Ref. ZAF_1999_MSCMA_v01_M. Dataset downloaded from http://www.datafirst.uct.ac.za/catalogue3/index.php/catalog/289 on [data].
Disclaimer and copyrights
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.
University of Cape Town
World Bank Microdata Library
University of Cape Town
Version 02 (August 2013). Edited from Version 01 DDI (ddi-zaf-datafirst-mscma-1999-v1) that was done by DataFirst.