October Household Survey 1997
South Africa, 1997
Statistics South Africa
Created on
June 18, 2020
Last modified
June 18, 2020
Page views
201817
Download
144591
Documentation in pdf
Study website
Metadata
xml (ddi standard)
json
Identification
IDNO
zaf-statssa-ohs-1997-v1.1
Title
October Household Survey 1997
Country
| Name | Country code |
|---|---|
| South Africa | zaf |
Study type
Household Survey [hh]
Series Information
Central Statistics Service. October Household Survey 1997 [dataset]. Version 1.1. Pretoria: Central Statistics Service (now Statistics South Africa) [producer], 1999. Cape Town: DataFirst[distributor], 2013. DOI: https://doi.org/10.25828/p2ks-qd64
Abstract
The October Household Survey is an annual survey, based on a probability sample of a large number of households (ranging from 16 000 to 30 000), covering a range of development indicators, including the detailed official measurement of the unemployment rate according to standard definitions of the International Labour Organisation (ILO).
Kind of Data
Sample survey data
Unit of Analysis
Households and individuals
Version
Version Description
v1.1: Edited, anonymised dataset for licensed distribution.
Version Date
1999
Version Notes
Version 1.0 of the October Household Survey 1997 dataset is the dataset received from Statistics South Africa.
This version, version 1.1, includes changes made in version 1.0. Some of the variables in version 1.0 were strings and in version 1.1 these have now been converted to numeric variables for ease of use.
This version, version 1.1, includes changes made in version 1.0. Some of the variables in version 1.0 were strings and in version 1.1 these have now been converted to numeric variables for ease of use.
Scope
Notes
The scope of the OHS 1997 includes: Employment, unemployment, informal sector, internal migration, services available by type of dwelling, access to health and social services, safety and wellbeing of household, households by average household size and type of dwelling, level of education, quality of life, health statistics, vital statistics.
Coverage
Geographic Coverage
The survey has national coverage
Geographic Unit
The lowest level of geographic aggregation covered by the data is province.
Universe
The survey covered households and household members in households in the nine provinces of South Africa
Producers and sponsors
Primary investigators
| Name |
|---|
| Statistics South Africa |
Sampling
Sampling Procedure
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 1996 Population Census enumerator areas and the estimated number of people from the administrative records of the 1996 population Census. The sampled population excluded all prisoners in prisons, patients in hospitals, people residing in boarding houses and hotels (whether temporary or semi-permanent).
The data was explicitly stratified by province, Transitional Metropolitan Councils (TMC) and District Councils (DC). A square root method was used for the allocation of the sample EA's to the explicit strata.
Within each explicit stratum the EA's were stratified by simply arranging them in geographical order by magisterial district and within the magisterial district by EA. 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 data was explicitly stratified by province, Transitional Metropolitan Councils (TMC) and District Councils (DC). A square root method was used for the allocation of the sample EA's to the explicit strata.
Within each explicit stratum the EA's were stratified by simply arranging them in geographical order by magisterial district and within the magisterial district by EA. 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.
Weighting
The 1996 population Census was used as a basis for the weighting.
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/SAi
mi - number of EA’s 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
SAi - 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 to cater for the urban/non-urban split per province.
To calculate the person weight, the data was post-stratified by province, gender and age group (5 year age groups).
The 1996 Census figures (adjusted for growth) were used as benchmarks. Relative scaling was also done on this weight to cater for the population group and urban/non-urban splits.
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/SAi
mi - number of EA’s 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
SAi - 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 to cater for the urban/non-urban split per province.
To calculate the person weight, the data was post-stratified by province, gender and age group (5 year age groups).
The 1996 Census figures (adjusted for growth) were used as benchmarks. Relative scaling was also done on this weight to cater for the population group and urban/non-urban splits.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1997-10 | 1997-10 |
Data Collection Mode
Face-to-face [f2f]
Questionnaires
Questionnaires
The data files in the October Household Survey 1997 (OHS 1997) correspond to the following sections in the questionnaire:
Person: Data from Section 1 and Section 4
Births: Data from Section 2
Worker: Data from Section 3
Migrant: Data from Section 5
Deaths: Data from Section 6
Migration of head: Data from Section 7
Domestic: Data from Section 8
Person: Data from Section 1 and Section 4
Births: Data from Section 2
Worker: Data from Section 3
Migrant: Data from Section 5
Deaths: Data from Section 6
Migration of head: Data from Section 7
Domestic: Data from Section 8
Access policy
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | info@data1st.org | http://www.datafirst.uct.ac.za |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org/ |
Access conditions
Public use files, available to all
Citation requirements
Central Statistics Service. October Household Survey 1997 [dataset]. Version 1.1. Pretoria: Central Statistics Service (now Statistics South Africa) [producer], 1999. Cape Town: DataFirst[distributor], 2013. DOI: https://doi.org/10.25828/p2ks-qd64
Disclaimer and copyrights
Copyright
Copyright, Statistics South Africa
Metadata production
DDI Document ID
DDI-ZAF-DATAFIRST-OHS-1997-V01
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata Producer |
Date of Metadata Production
2020-06-18
DDI Document version
Version 3