Omnibus Survey 1996
South Africa, 1996
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Identification
Survey ID Number
zaf-hsrc-os-1996-v1
Title
Omnibus Survey 1996
Country
| Name | Country code |
|---|---|
| South Africa | zaf |
Study type
Public Opinion Survey
Abstract
An omnibus survey is done quarterly and its purpose is to give clients an opportunity to participate in a national survey at low cost. A number of clients’ questions are combined into one questionnaire. This questionnaire is usually administered to probability sample of about 2200 respondents in the whole country (South Africa). The 1996 February omnibus consisted of two separate samples of 2200 each – one sample having a yellow questionnaire and the other sample having a pink questionnaire. The February/March 1996 omnibus survey was undertaken over the period 27 February to 24 March 1996. The data from this survey was available in May 1996. The fieldwork was done on a countrywide basis including all nine provinces.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Units of analysis in the survey included individuals
Version
Version Description
v1: Edited, anonymised data for licensed distribution
Scope
Notes
The 1996 Omnibus survey collected demographic data (sex, age, marital status, education, language, income, occupation, population group), as well as data on the following topics: The Truth Commission, politics, the economy, the police services, non-South Africans living in the country, elections, perceptions of the government, local government, and cancer
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| social behaviour and attitudes [13.6] | CESSDA | Link |
Coverage
Geographic Coverage
The survey had national coverage.
The lowest level of geographic aggregation for the data is Magisterial district.
The lowest level of geographic aggregation for the data is Magisterial district.
Geographic Unit
The lowest level of geographic aggregation covered by the data is magisterial district
Universe
The universe included all household residents 18 years old or older
Producers and sponsors
Primary investigators
| Name |
|---|
| Human Sciences Research Council |
Sampling
Sampling Procedure
The South African population of persons 18 years and older was stratified according to:
Province (Western Cape, Eastern Cape, Northern Cape, Orange Free State, Natal/KwaZulu, Eastern Transvaal, PWV, North Western Province, Northern Transvaal)
Socio-economic classification:
Rural areas in former self-governing and TBVC states
Squatter areas in former non-white urban (metro and non- metro areas)
Hostels and hotels
Former urban areas for coloureds
Former urban areas for a Asians
Former urban areas for blacks
Former urban (non- metro) areas for whites
Former urban (metro) areas for whites
Rural areas, excluding the former self-governing and TBVC states
The sample allocation to these strata was done roughly proportional to the adjusted 1991 populatio n census figures with a few exceptions, among which was to ensure a minimal provincial total of 120. Multistage stratified cluster (probability) sampling was used to draw the respondents with the adjusted 1991 population census figures as measure of size. Census enumerator areas and similar areas were used as the clusters in the pen-ultimate sampling stage, from which an equal number, viz. one or two by four households were drawn. All clusters were drawn with probability proportional to size, whilst households were drawn from the final clusters with equal probability (systematically). Respondents were drawn at random from qualifying household members. In addition, population of live-in domestic workers was sampled in relation to their residence in already drawn households.
Province (Western Cape, Eastern Cape, Northern Cape, Orange Free State, Natal/KwaZulu, Eastern Transvaal, PWV, North Western Province, Northern Transvaal)
Socio-economic classification:
Rural areas in former self-governing and TBVC states
Squatter areas in former non-white urban (metro and non- metro areas)
Hostels and hotels
Former urban areas for coloureds
Former urban areas for a Asians
Former urban areas for blacks
Former urban (non- metro) areas for whites
Former urban (metro) areas for whites
Rural areas, excluding the former self-governing and TBVC states
The sample allocation to these strata was done roughly proportional to the adjusted 1991 populatio n census figures with a few exceptions, among which was to ensure a minimal provincial total of 120. Multistage stratified cluster (probability) sampling was used to draw the respondents with the adjusted 1991 population census figures as measure of size. Census enumerator areas and similar areas were used as the clusters in the pen-ultimate sampling stage, from which an equal number, viz. one or two by four households were drawn. All clusters were drawn with probability proportional to size, whilst households were drawn from the final clusters with equal probability (systematically). Respondents were drawn at random from qualifying household members. In addition, population of live-in domestic workers was sampled in relation to their residence in already drawn households.
Weighting
The sample design allocation per population group was not proportional to the population figures as given in the adjusted 1991 census figures as well as updated figures for certain areas such as the former TBVC states. The population total for each region and socioeconomic category was divided by the actual realisation in the particular cell. The figure derived is the pre-weight that was used. The data was weighted for the age group 18 years and older, in other words, the population that qualified as respondents.
The aim of the factor weighting was to correct the disproportions which were incorporated in the sample design (minimum number of 120 respondents per province, over-sampled population of Asians) and the only weighting targets were stratification variables: ‘province’ and ‘socio-economic category’.
The aim of the factor weighting was to correct the disproportions which were incorporated in the sample design (minimum number of 120 respondents per province, over-sampled population of Asians) and the only weighting targets were stratification variables: ‘province’ and ‘socio-economic category’.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1996-02-27 | 1996-03-24 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
MarkData of the Human Sciences Research Council conducted the fieldwork for the survey
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Helpdesk | University of Cape Town | support@data1st.org | Link |
Access conditions
Licensed dataset, accessible under conditions
Citation requirements
Human Sciences Research Council. Omnibus Survey 1996 [dataset].HSRC [producer],1996. Cape Town: DataFirst [distributor], 2012. DOI: https://doi.org/10.25828/tbee-yk69
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | info@data1st.org | Link |
Disclaimer and copyrights
Copyright
Copyright, Statistics South Africa
Metadata production
DDI Document ID
ddi-zaf-datafirst-os-1996-v1
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | DDI Producer |
Date of Metadata Production
1994
DDI Document version
Version 1