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    Home / Data Portal / STATSSA / ZAF-STATSSA-GHS-2017-V1
StatsSA

General Household Survey 2017

South Africa, 2017
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Reference ID
zaf-statssa-ghs-2017-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 24, 2018
Last modified
Dec 09, 2021
Page views
95415
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11965
  • Study Description
  • Data Description
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • survey_instrument
  • Data Collection
  • Data appraisal
  • Data Access
  • Metadata production
  • Identification

    Survey ID number

    zaf-statssa-ghs-2017-v1

    Title

    General Household Survey 2017

    Country
    Name Country code
    South Africa zaf
    Study type

    Household Survey [hh]

    Abstract

    The GHS is an annual household survey which measures the living circumstances of South African households. The GHS collects data on education, health, and social development, housing, access to services and facilities, food security, and agriculture.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households and individuals

    Version

    Version Description

    v1: Edited, anonymised dataset for public distribution

    Version Date

    2018-06-21

    Version Notes

    Version 1 was originally downloaded from Stats SA in August 2018.

    Scope

    Notes

    The scope of the General Household Survey includes:

    Household characteristics: Dwelling type, home ownership, access to water and sanitation, access to services, transport, household assets, land ownership, agricultural production
    Individuals' characteristics: demographic characteristics, relationship to household head, marital status, language, education, employment, income, health, fertility, mortality, disability, access to social services

    Coverage

    Geographic Coverage

    The General Household Survey has national coverage.

    Geographic Unit

    The lowest level of geographic aggregation for the data is Province (and metropolitan municipality, where this applies)

    Universe

    The survey covers all de jure household members (usual residents) of households in the nine provinces of South Africa, and residents in workers' hostels. The survey does not cover collective living quarters such as student hostels, old age homes, hospitals, prisons, and military barracks.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Statistics South Africa Government of South Africa

    Sampling

    Sampling Procedure

    From 2015 the General Household Survey (GHS) uses a Master Sample (MS) frame developed in 2013 as a general-purpose sampling frame to be used for all Stats SA household-based surveys. This MS has design requirements that are reasonably compatible with the GHS. The 2013 Master Sample is based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the Master Sample, since they covered the entire country, and had other information that is crucial for stratification and creation of PSUs. There are 3 324 primary sampling units (PSUs) in the Master Sample, with an expected sample of approximately 33 000 dwelling units (DUs). The number of PSUs in the current Master Sample (3 324) reflect an 8,0% increase in the size of the Master Sample compared to the previous (2008) Master Sample (which had 3 080 PSUs). The larger Master Sample of PSUs was selected to improve the precision (smaller coefficients of variation, known as CVs) of the GHS estimates. The Master Sample is designed to be representative at provincial level and within provinces at metro/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro.

    The sample for the GHS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.After allocating the sample to the provinces, the sample was further stratified by geography (primary stratification), and by population attributes using Census 2011 data (secondary stratification).

    Weighting

    The sample weights were constructed in order to account for the following: the original selection probabilities (design weights), adjustments for PSUs that were sub-sampled or segmented, excluded population from the sampling frame, non-response, weight trimming, and benchmarking to known population estimates from the Demographic Analysis Division within Stats SA.

    The sampling weights for the data collected from the sampled households were constructed so that the responses could be properly expanded to represent the entire civilian population of South Africa. The design weights, which are the inverse sampling rate (ISR) for the province, are assigned to each of the households in a province.

    Mid-year population estimates produced by the Demographic Analysis Division were used for benchmarking. The final survey weights were constructed using regression estimation to calibrate to national level population estimates cross-classified by 5-year age groups, gender and race, and provincial population estimates by broad age groups. The 5-year age groups are: 0–4, 5–9, 10–14, 55–59, 60–64; and 65 and over. The provincial level age groups are 0–14, 15–34, 35–64; and 65 years and over. The calibrated weights were constructed such that all persons in a household would have the same final weight.

    The Statistics Canada software StatMx was used for constructing calibration weights. The population controls at national and provincial level were used for the cells defined by cross-classification of Age by Gender by Race. Records for which the age, population group or sex had item non-response could not be weighted and were therefore excluded from the dataset. No additional imputation was done to retain these records.

    Household estimates that were developed using the UN headship ratio methodology were used to weight household files. The databases of Census 1996, Census 2001, Community Survey 2007 Census 2011 were used to analyse trends and develop models to predict the number of households for each year. The weighting system was based on tables for the expected distribution of household heads for specific age categories, per population group and province.

    survey_instrument

    Questionnaires

    Data was collected with a household questionnaire and a questionnaire administered to a household member to elicit information on household members.

    Data Collection

    Dates of Data Collection
    Start End
    2017-01 2017-12

    Data appraisal

    Data Appraisal

    Please note that DataFirst provides versioning at dataset and file level. Revised files have new version numbers. Files that are not revised retain their original version numbers. Changes to any of the data files will result in the dataset having a new version number. Thus version numbers of files within a dataset may not match

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town www.support.datafirst.org support@data1st.org
    Access conditions

    Public access data, available to all

    Citation requirements

    Statistics South Africa. General Household Survey 2017 [dataset]. Version 1. Pretoria: Statistics SA [producer], 2018. Cape Town: DataFirst [distributor], 2018. DOI: https://doi.org/10.25828/6bvj-n342

    Metadata production

    DDI Document ID

    ddi-zaf-datafirst-ghs-2017-v1.0

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata Producer
    Date of Metadata Production

    2021-12-09

    Metadata version

    DDI Document version

    Version 4

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