The October Household Survey (OHS) of 1995 is the second official survey undertaken by Statistics South Africa (Stats SA) with the specific aim of making data available for the South African government's Reconstruction and Development Programme (RDP). Data collected includes population data, particulars of dwellings and data on services and on perceived quality of life.
Kind of Data
Sample survey data
Unit of Analysis
Households and individuals
v1.2: Edited, anonymised dataset for licensed distribution.
Version 1.1 of the October Household Survey 1995 dataset is the reweighted (1996 weights) dataset received from Statistics South Africa.
Version 1.2 is version 1.1 with string variables in some of the files converted to numeric variables and value labels added for ease of use at DataFirst.
The scope of the OHS includes: employment, unemployment, informal sector, internal migration, services available by type of dwelling, access to health and social services, safety and well-bring of household, households by average household size and type of dwelling, level of education, quality of life, health statistics, vital statistics.
The survey has national coverage
The lowest level of geographic aggregation covered by the data is province.
The survey covered households and household members in households in the nine provinces of South Africa
Producers and sponsors
Statistics South Africa
A sample of 30 000 households was drawn in 3 000 enumerator areas (EA's) (that is 10 households per Enumerator Area). A two stage sampling procedure was applied and the sample was stratified, clustered and selected to meet the requirement of probability sampling. The sample was based on the 1991 Population Census enumerator areas. The sampled population excluded all prisoners in prisons, patients in hospitals, people residing in boarding houses and hotels (whether temporary or semi-permanent). The sample was explicitly stratified by province, Magisterial District, Urban/rural and Population group. The allocated number of EA's was systematically selected with probability proportional to size in each stratum The measure of size was the estimated number of people. In each EA, a systematic sample of 10 households was drawn.
The 1991 population Census was used as a basis for the weighting for the OHS 1995.
Household weights were calculated by using the reciprocal of the inclusion probabilities.
Since the sample selection was done in two stages (i.e. first stage - selection of an EA, second stage - selection of a household in the selected EA):
The inclusion probability of an EA (say p1):
Since this was done with probability proportional to size (size being the number of persons residing in the EA),
p1 = m . Ai /S Ai
mi - number of EAs in the sample in the i-th stratum (where stratum is the District Council in a province)
Ai - number of persons residing in the selected EA
S Ai - total number of persons in the population in the i-th stratum
The inclusion probability of the household (say p2):
Since ten (10) households (per EA) were selected systematically,
p2 = 10 number of households in the selected EA
Household weight = (1/p1.p2). Relative scaling was done on this weight. The 1996 Census figures (adjusted for growth) were used as benchmarks. To calculate the person weight, the data was post-stratified by province, race, gender and age group (5 year age groups). The 1996 Census figures (adjusted for growth) were used as benchmarks.
Dates of Data Collection
Data Collection Mode
The data files in the October Household Survey 1995 (OHS 1995) correspond to the following sections in the questionnaire:
House: Data from FLAP, Section 1
Person: Data from Section 2
Worker: Data from Section 3
Death: Data from Section 4
Births: Data from Section 5
Part two of the questionnaire collected income and expenditure data, which is available in the Income and Expenditure Survey 1995 (IES 1995) dataset. The OHS 1995 and IES 1995 enumerated the same households.
Central Statistical Service. October Household Survey 1995 [dataset]. Version 1.2. Pretoria:Central Statistical Service (now Statistics South Africa) [producer], 1996. Cape Town: DataFirst[distributor], 2011. DOI: https://doi.org/10.25828/ffc8-7c17