DDI_ZAF_1995_OS-Sep_v01_M DataFirst 1994 NADA Version 02 (August 2013). Edited version based on Version 01 DDI (ddi-zaf-datafirst-os-1995-2-v1) that was done by DataFirst. Omnibus September Survey 1995 OS-Sep 1995 ZAF_1995_OS-Sep_v01_M Human Sciences Research Council NADA DataFirst Helpdesk World Bank Microdata Library Public Opinion Survey [ind/pos] Version 01: Edited, anonymised data for licensed distribution social behaviour and attitudes [13.6] 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 2200 respondents in the whole country (South Africa). The HSRC undertook 2 Omnibus surveys in 1995 - in February and September. The September 1995 omnibus survey was undertaken over the period 04 September to 06 October 1995. The data from this survey was available in December 1995. The fieldwork was done on a countrywide basis including all nine provinces. South Africa The survey had national coverage, including coverage of the 'homelands" of Ciskei and Venda. The lowest level of geographic aggregation covered by the data is magisterial district Units of analysis in the survey included individuals The universe included all household residents 18 years old or older. Sample survey data [ssd] The 1995 Omnibus September Survey conducted in October collected demographic data (sex, age, marital status, education, language, income, occupation, population group), as well as data on the following topics: The economy, quality of life, local elections, the police services, non-South Africans living in the country, crime and victimization, and perceptions of the government. MarkData 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. Face-to-face [f2f] MarkData of the Human Sciences Research Council conducted the fieldwork for the survey 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’. DataFirst 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 Example: Human Sciences Research Council, South Africa. Omnibus September Survey 1995. Ref. ZAF_1995_OS-Sep_v01_M. Dataset downloaded from http://sada.nrf.ac.za/ahdetails.asp?catalognumber=0046 on [date]. Licensed dataset, accessible under conditions 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. Omnibus Survey 1995_2p1 0 189 Omnibus Survey 1995_2p2 0 322