Omnibus Survey 1994

South Africa, 1994

Get Microdata

Reference ID

zaf-hsrc-os-1994-v1

Producer(s)

Human Sciences Research Council

Metadata

DDI/XML JSON

Created on

Feb 18, 2013

Last modified

Jul 30, 2020

Page views

75487

Downloads

599

Identification

Survey ID number

zaf-hsrc-os-1994-v1

Title

Omnibus Survey 1994

Country

Name	Country code
South Africa	zaf

Study type

Public Opinion Survey [ind/pos]

Series Information

Human Sciences Research Council. Omnibus Survey 1994 [dataset]. Human Sciences Research Council (HSRC) [producer],1995. Cape Town: DataFirst [distributor], 2012. DOI: https://doi.org/10.25828/df7k-q915

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 2 220 respondents in the whole country (South Africa). The October 1994 omnibus survey was undertaken over the period 10 October to 28 October 1994. 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

Version Date

1995

Scope

Notes

The 1994 Omnibus survey collected demographic data (sex, age, marital status, education, language, income, occupation, population group), as well as data on the following topics: politics, the economy, commuting, AIDS, orphans and affordable care, the environment, prostitution, crime (including juvenile crime), the police services, and companies

Topics

Topic	Vocabulary	URI
social behaviour and attitudes [13.6]	CESSDA

Coverage

Geographic Coverage

The survey had national coverage, including coverage of the 'homelands" of Ciskei and Venda.

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.

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’.

Data collection

Dates of Data Collection

Start	End
1994-10-10	1994-10-28

Data Collection Notes

MarkData of the Human Sciences Research Council conducted the fieldwork for the survey

access_policy

Access authority

Name	Affiliation	URL	Email
DataFirst	University of Cape Town		info@data1st.org

Access conditions

Licensed dataset, accessible under conditions

Citation requirements

Disclaimer and copyrights

Contacts

Name	Affiliation	Email	URL
DataFirst Helpdesk	University of Cape Town	support@data1st.org

Metadata production

DDI Document ID

ddi-zaf-datafirst-os-1994-v1

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	DDI Producer

Date of Metadata Production

1994

Metadata version

DDI Document version

Version 1

Back to Catalog