5 datasets found
  1. Quarterly Labour Force Survey 2022 - South Africa

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Mar 2, 2023
    + more versions
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    Statistics South Africa (2023). Quarterly Labour Force Survey 2022 - South Africa [Dataset]. https://datacatalog.ihsn.org/catalog/11243
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    Dataset updated
    Mar 2, 2023
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    Abstract

    The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa.

    Geographic coverage

    National coverage

    Analysis unit

    Individuals

    Universe

    The QLFS sample covers the non-institutional population of South Africa with one exception. The only institutional subpopulation included in the QLFS sample are individuals in worker's hostels. Persons living in private dwelling units within institutions are also enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The QLFS uses a master sampling frame that is used by several household surveys conducted by Statistics South Africa. This wave of the QLFS is based on the 2013 master frame, which was created based on the 2011 census. There are 3324 PSUs in the master frame and roughly 33 000 dwelling units.

    The sample for the QLFS 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.

    For each quarter of the QLFS, a quarter of the sampled dwellings are rotated out of the sample. These dwellings are replaced by new dwellings from the same PSU or the next PSU on the list. For more information see the statistical release.

    Mode of data collection

    Computer Assisted Personal Interview [capi]

    Research instrument

    The survey questionnaire consists of the following sections: - Biographical information (marital status, education, etc.) - Economic activities for persons aged 15 years and older

  2. Quarterly Labour Force Survey 2022 - South Africa

    • webapps.ilo.org
    Updated Jul 6, 2025
    + more versions
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    Statistics South Africa (SSA) (2025). Quarterly Labour Force Survey 2022 - South Africa [Dataset]. https://webapps.ilo.org/surveyLib/index.php/catalog/8220
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    Dataset updated
    Jul 6, 2025
    Dataset provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Authors
    Statistics South Africa (SSA)
    Time period covered
    2022
    Area covered
    South Africa
    Description

    Geographic coverage

    National coverage

    Analysis unit

    households/individuals

    Kind of data

    survey

    Frequency of data collection

    Quarterly: average based on 3 monthly data points

    Sampling procedure

    Sample size:

  3. w

    South Africa - Quarterly Labour Force Survey 2022

    • datacatalog.worldbank.org
    html
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    Development Economics Data Group, The World Bank, South Africa - Quarterly Labour Force Survey 2022 [Dataset]. https://datacatalog.worldbank.org/search/dataset/0064225/South-Africa---Quarterly-Labour-Force-Survey-2022
    Explore at:
    htmlAvailable download formats
    Dataset provided by
    Development Economics Data Group, The World Bank
    License

    https://datacatalog.worldbank.org/public-licenses?fragment=externalhttps://datacatalog.worldbank.org/public-licenses?fragment=external

    Area covered
    South Africa
    Description

    The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa.

  4. Labour Market Dynamics in South Africa 2022 - South Africa

    • datafirst.uct.ac.za
    Updated Dec 17, 2024
    + more versions
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    Statistics South Africa (2024). Labour Market Dynamics in South Africa 2022 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/1011
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    Dataset updated
    Dec 17, 2024
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2022
    Area covered
    South Africa
    Description

    Abstract

    The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (StatsSA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa. Since 2008, StatsSA have produced an annual dataset based on the QLFS data, "Labour Market Dynamics in South Africa". The dataset is constructed using data from all all four QLFS datasets in the year. The dataset also includes a number of variables (including income) that are not available in any of the QLFS datasets from 2010.

    Geographic coverage

    The survey had national coverage.

    Analysis unit

    Individuals

    Universe

    The QLFS sample covers the non-institutional population except for those in workers' hostels. However, persons living in private dwelling units within institutions are enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.

    Kind of data

    Sample survey data

    Sampling procedure

    Each year the LMDSA is created by combining the QLFS waves for that year and then including some additional variables. The QLFS master frame for this LMDSA was based on the 2011 population census by Stas SA. The sampling is stratified by province, district, and geographic type (urban, traditional, farm). There are 3324 PSUs drawn each year, using probability proportional to size (PPS) sampling. In the second stage Dwelling Units (DUs) are systematically selected from PSUs. The 3324 PSU are split into four groups for the year, and at each quarter the DUs from the given group are replaced by substitute DUs from the same PSU or the next PSU on the list (in the same group). It should be noted that the sampling unit is the dwelling, and the unit of observation is the household. Therefore, if a household moves out of a dwelling after being in the sample for, two quarters and a new household moves in, the new household will be enumerated for two more quarters until the DU is rotated out. If no household moves into the sampled dwelling, the dwelling will be classified as vacant (or unoccupied).

    Mode of data collection

    Computer Assisted Telephone Interview

    Data appraisal

    The statistical release notes that missing values were "generally imputed" for item non-response but provides no detail on how Statistics SA did so.

  5. T

    South Africa Unemployment Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 11, 2025
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    TRADING ECONOMICS (2025). South Africa Unemployment Rate [Dataset]. https://tradingeconomics.com/south-africa/unemployment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Nov 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 30, 2000 - Sep 30, 2025
    Area covered
    South Africa
    Description

    Unemployment Rate in South Africa decreased to 31.90 percent in the third quarter of 2025 from 33.20 percent in the second quarter of 2025. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Statistics South Africa (2023). Quarterly Labour Force Survey 2022 - South Africa [Dataset]. https://datacatalog.ihsn.org/catalog/11243
Organization logo

Quarterly Labour Force Survey 2022 - South Africa

Explore at:
Dataset updated
Mar 2, 2023
Dataset authored and provided by
Statistics South Africahttp://www.statssa.gov.za/
Time period covered
2022
Area covered
South Africa
Description

Abstract

The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

The QLFS sample covers the non-institutional population of South Africa with one exception. The only institutional subpopulation included in the QLFS sample are individuals in worker's hostels. Persons living in private dwelling units within institutions are also enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.

Kind of data

Sample survey data [ssd]

Sampling procedure

The QLFS uses a master sampling frame that is used by several household surveys conducted by Statistics South Africa. This wave of the QLFS is based on the 2013 master frame, which was created based on the 2011 census. There are 3324 PSUs in the master frame and roughly 33 000 dwelling units.

The sample for the QLFS 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.

For each quarter of the QLFS, a quarter of the sampled dwellings are rotated out of the sample. These dwellings are replaced by new dwellings from the same PSU or the next PSU on the list. For more information see the statistical release.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The survey questionnaire consists of the following sections: - Biographical information (marital status, education, etc.) - Economic activities for persons aged 15 years and older

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