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    Home / Data Portal / SAHS / ZAF-STATSSA-GHS-2025-V1
SAHS

General Household Survey 2025

South Africa, 2025
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Reference ID
zaf-statssa-ghs-2025-v1
DOI
https://doi.org/10.25828/a4a6-p161
Producer(s)
Statistics South Africa
Collections
South African Household Survey Data
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 02, 2026
Last modified
Jun 02, 2026
Page views
45
Downloads
2
  • Dataset Description
  • Data Description
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Study authorization
  • Sampling
  • Data Collection
  • Access policy
  • Data Access
  • Metadata production
  • citation
  • Identification

    Survey ID number

    zaf-statssa-ghs-2025-v1

    Title

    General Household Survey 2025

    Abbreviation or Acronym

    GHS 2025

    Country
    Name Country code
    South Africa zaf
    Study type

    Household Survey

    Other identifiers
    Type Identifier
    DOI https://doi.org/10.25828/a4a6-p161
    Abstract

    The GHS is an annual household survey that 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

    2026-06

    Version Notes

    Version 1 was originally downloaded from Stats SA on June 2nd, 2026

    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 target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks, and is therefore only representative of non-institutionalised and non-military persons or households in South Africa.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Statistics South Africa Government of South Africa

    Study authorization

    Authorization Date

    1999;2024

    Agency
    Agency name Affiliation Abbreviation
    Statistics South Africa Government of South Africa StatsSA
    Authorization Statement

    Data collection by organs of state in South Africa is authorised by the Statistics Act, 1999, and the Statistics Amendment Act, 2024

    Sampling

    Sample frame

    Universe

    The target population is private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.

    Sampling Procedure

    The General Household Survey (GHS) 2025 used the 2013 Master Sample. This master sample is shared by the Quarterly Labour Force Survey (QLFS), General Household Survey (GHS), Living Conditions Survey (LCS), Domestic Tourism Survey (DTS), and the Income and Expenditure Survey (IES). This survey followed a two-stage stratified sampling approach. In the first stage, primary sampling units (PSUs) based on Census 2001 Enumeration Areas were selected using probability-proportional-to-size (PPS) within metropolitan and non-metropolitan strata. In the second stage, dwelling units (DUs) were systematically selected within each sampled PSU. The design was self-weighting at the provincial level and incorporated secondary stratification using key demographic and socioeconomic variables, including household size, education, gender, industry, and income. To improve efficiency, very small enumeration areas were excluded or merged, while large areas were split. In total, about 3,080 PSUs were selected nationally, producing a representative sample of South African households.

    For further details, refer to the GHS-2025 metadata documentation.

    Weighting

    The sample weights were constructed 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 older. The provincial level age groups include 0–14, 15–34, 35–64, and 65 years and older. The calibrated weights were constructed such that all persons in a household would have the same final weight.

    Note: Caution must be exercised when interpreting the results of the GHS at low levels of disaggregation. The sample and reporting are based on the provincial boundaries as defined in December/January 2006. These new boundaries resulted in minor changes to the boundaries of some provinces, especially Gauteng, North West, Mpumalanga, Limpopo, Eastern and Western Cape. In previous reports, the sample was based on the provincial boundaries as defined in 2001, and there will therefore be slight comparative differences in terms of provincial boundary definitions.

    Data Collection

    Dates of Data Collection
    Start End
    2025-01 2025-12
    Time Method

    Cross-section [cross section]

    Time periods
    Start date End date
    2025 2025
    Data Collectors
    Name Affiliation Abbreviation Role
    Statistics South Africa Government of South Africa StatsSA Data collection and production
    Data Collection Notes

    Data was collected using face-to-face interviewing with CAPI questionnaires

    Access policy

    Location of Data Collection

    DataFirst Dataportal

    URL for Location of Data Collection

    https://www.datafirst.uct.ac.za/dataportal/index.php/home

    Archive where study is originally stored

    Statistics South Africa website

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town https://support.data1st.org/ support@data1st.org
    Access conditions

    Creative Commons Attribution only CC-BY license.

    Citation requirements

    Statistics South Africa. General Household Survey 2025 [dataset]. Version 1. Pretoria: Statistics SA [producer], 2026. Cape Town: DataFirst [distributor], 2026. DOI: https://doi.org/10.25828/a4a6-p161

    Deposit requirements

    Users of the data must send DataFirst a copy of or link to any publication based on the data

    Metadata production

    DDI Document ID

    zaf-statssa-ghs-2025-v1

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

    2026-06

    Metadata version

    DDI Document version

    Version 1

    citation

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