October Household Survey 1997

South Africa, 1997

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Reference ID

zaf-statssa-ohs-1997-v1.1

Producer(s)

Statistics South Africa

Collections

South African Household Survey Data

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Nov 21, 2010

Last modified

Jun 18, 2020

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292287

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Identification

Survey ID number

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.

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.

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.

Survey instrument

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

Data collection

Dates of Data Collection

Start	End
1997-10	1997-10

access_policy

Access authority

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

Access conditions

Public use files, available to all

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-OHS-1997-V01

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	Metadata Producer

Date of Metadata Production

2020-06-18

Metadata version

DDI Document version

Version 3

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