100+ datasets found
  1. Quarterly Labour Force Survey 2021, Quarter 3 - South Africa

    • catalog.ihsn.org
    • microdata.worldbank.org
    Updated May 11, 2022
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    Statistics South Africa (2022). Quarterly Labour Force Survey 2021, Quarter 3 - South Africa [Dataset]. https://catalog.ihsn.org/catalog/10307
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    Dataset updated
    May 11, 2022
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2021
    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 Telephone Interview [cati]

  2. Quarterly Labour Force Survey 2023, Quarter 4 - South Africa

    • datafirst.uct.ac.za
    Updated Feb 20, 2024
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    Statistics South Africa (2024). Quarterly Labour Force Survey 2023, Quarter 4 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/954
    Explore at:
    Dataset updated
    Feb 20, 2024
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2023
    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

    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

    Face-to-Face and Computer Assisted Personal and Telephone Interview

  3. Quarterly Labour Force Survey 2022 - South Africa

    • datafirst.uct.ac.za
    Updated Oct 3, 2022
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    Statistics South Africa (2022). Quarterly Labour Force Survey 2022 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/909
    Explore at:
    Dataset updated
    Oct 3, 2022
    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

    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

  4. Quarterly Labour Force Survey 2008, Fourth Quarter - South Africa

    • microdata.worldbank.org
    Updated Sep 4, 2014
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    Statistics South Africa (2014). Quarterly Labour Force Survey 2008, Fourth Quarter - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/967
    Explore at:
    Dataset updated
    Sep 4, 2014
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2008
    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 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 [ssd]

    Sampling procedure

    The QLFS frame has been developed as a general purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter.

    The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA's household-based surveys use a Master Sample of Primary Sampling Units (PSUs) which comprises of EAs that are drawn from across the country.

    The sample is designed to be representative at the provincial level and within provinces at the metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal. This implies, for example, that within a metropolitan area the sample is representative at the different geography types that may exist within that metro.

    The current sample size is 3 080 PSUs. It is divided equally into four sub-groups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group.

    The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of primary sampling units (PSUs) in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.

    Mode of data collection

    Face-to-face [f2f]

  5. Quarterly Labour Force Survey 2009, Second Quarter - South Africa

    • microdata.worldbank.org
    Updated Sep 4, 2014
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    Quarterly Labour Force Survey 2009, Second Quarter - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/969
    Explore at:
    Dataset updated
    Sep 4, 2014
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2009
    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 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 [ssd]

    Sampling procedure

    The QLFS frame has been developed as a general purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter.

    The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA's household-based surveys use a Master Sample of Primary Sampling Units (PSUs) which comprises of EAs that are drawn from across the country.

    The sample is designed to be representative at the provincial level and within provinces at the metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal. This implies, for example, that within a metropolitan area the sample is representative at the different geography types that may exist within that metro.

    The current sample size is 3 080 PSUs. It is divided equally into four sub-groups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group.

    The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of primary sampling units (PSUs) in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.

    Mode of data collection

    Face-to-face [f2f]

  6. Quarterly Labour Force Survey 2020, Quarter 4 - South Africa

    • datafirst.uct.ac.za
    Updated Feb 4, 2022
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    Statistics South Africa (2022). Quarterly Labour Force Survey 2020, Quarter 4 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/862
    Explore at:
    Dataset updated
    Feb 4, 2022
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2020
    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

    Sampling procedure

    The samping procedure for this quarter of the QLFS had to be changed from the norm due to covid-19. In this 2020 Q4 the sample used was the same sample as from Q3, Q2 and Q1 from 2020. Because the interviews were done telephonically, any sampling units that did not have telephones dropped out of the sample. This was adjusted for in the weighting procedure.

    Mode of data collection

    Face-to-face [f2f]

    Cleaning operations

    In general, imputation is used for item non-response (i.e. blanks within the questionnaire) and edit failures (i.e. invalid or inconsistent responses).

  7. Quarterly Labour Force Survey 2010 - South Africa

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
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    Statistics South Africa (2019). Quarterly Labour Force Survey 2010 - South Africa [Dataset]. https://catalog.ihsn.org/catalog/4640
    Explore at:
    Dataset updated
    Mar 29, 2019
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2010
    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 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 [ssd]

    Sampling procedure

    The QLFS frame has been developed as a general purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter.

    The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA's household-based surveys use a Master Sample of Primary Sampling Units (PSUs) which comprises of EAs that are drawn from across the country.

    The sample is designed to be representative at the provincial level and within provinces at the metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal. This implies, for example, that within a metropolitan area the sample is representative at the different geography types that may exist within that metro.

    The current sample size is 3 080 PSUs. It is divided equally into four sub-groups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group.

    The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of primary sampling units (PSUs) in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.

    Mode of data collection

    Face-to-face [f2f]

  8. Quarterly Labour Force Survey 2010, Third Quarter - South Africa

    • microdata.worldbank.org
    Updated Sep 4, 2014
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    Quarterly Labour Force Survey 2010, Third Quarter - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/1292
    Explore at:
    Dataset updated
    Sep 4, 2014
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2010
    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 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 [ssd]

    Sampling procedure

    The QLFS frame has been developed as a general purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter.

    The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA's household-based surveys use a Master Sample of Primary Sampling Units (PSUs) which comprises of EAs that are drawn from across the country.

    The sample is designed to be representative at the provincial level and within provinces at the metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal. This implies, for example, that within a metropolitan area the sample is representative at the different geography types that may exist within that metro.

    The current sample size is 3 080 PSUs. It is divided equally into four sub-groups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group.

    The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of primary sampling units (PSUs) in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.

    Mode of data collection

    Face-to-face [f2f]

  9. Quarterly Labour Force Survey 2024, Quarter 1 - South Africa

    • datafirst.uct.ac.za
    Updated May 14, 2024
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    Statistics South Africa (2024). Quarterly Labour Force Survey 2024, Quarter 1 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/960
    Explore at:
    Dataset updated
    May 14, 2024
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2024
    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

    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

    Face-to-Face and Computer Assisted Personal and Telephone Interview

  10. Quarterly Labour Force Survey 2024, Quarter 2 - South Africa

    • datafirst.uct.ac.za
    Updated Aug 13, 2024
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    Statistics South Africa (2024). Quarterly Labour Force Survey 2024, Quarter 2 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/972
    Explore at:
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2024
    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

    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

    Face-to-Face and Computer Assisted Personal and Telephone Interview

  11. Quarterly Labour Force Survey 2023, Quarter 1 - South Africa

    • datafirst.uct.ac.za
    Updated Jul 2, 2023
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    Statistics South Africa (2023). Quarterly Labour Force Survey 2023, Quarter 1 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/939
    Explore at:
    Dataset updated
    Jul 2, 2023
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2023
    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

    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

    Face-to-Face and Computer Assisted Personal and Telephone Interview

  12. Quarterly Labour Force Survey 2021, Quarter 3 - South Africa

    • datafirst.uct.ac.za
    • datafirsttest.uct.ac.za
    Updated Dec 9, 2021
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    Statistics South Africa (2021). Quarterly Labour Force Survey 2021, Quarter 3 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/888
    Explore at:
    Dataset updated
    Dec 9, 2021
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2021
    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

    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 Telephone Interview [cati]

  13. Quarterly Labour Force Survey 2008, Quarter 2 - South Africa

    • datafirst.uct.ac.za
    Updated Jul 1, 2020
    Share
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    Statistics South Africa (2020). Quarterly Labour Force Survey 2008, Quarter 2 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/203
    Explore at:
    Dataset updated
    Jul 1, 2020
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2008
    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 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 [ssd]

    Sampling procedure

    The QLFS frame has been developed as a general purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter.

    The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA's household-based surveys use a Master Sample of Primary Sampling Units (PSUs) which comprises of EAs that are drawn from across the country.

    The sample is designed to be representative at the provincial level and within provinces at the metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal. This implies, for example, that within a metropolitan area the sample is representative at the different geography types that may exist within that metro.

    The current sample size is 3 080 PSUs. It is divided equally into four sub-groups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group.

    Mode of data collection

    Face-to-face [f2f]

  14. Quarterly Labour Force Survey 2020, Quarter 4 - South Africa

    • datacatalog.ihsn.org
    • microdata.worldbank.org
    Updated Jan 3, 2022
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    Statistics South Africa (2022). Quarterly Labour Force Survey 2020, Quarter 4 - South Africa [Dataset]. https://datacatalog.ihsn.org/catalog/9936
    Explore at:
    Dataset updated
    Jan 3, 2022
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2020
    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 sampling procedure for this quarter of the QLFS had to be changed from the norm due to covid-19. In this 2020 Q4 the sample used was the same sample as from Q3, Q2 and Q1 from 2020. Because the interviews were done telephonically, any sampling units that did not have telephones dropped out of the sample. This was adjusted for in the weighting procedure.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Research instrument

    The survey questionnaire consists of the following sections: - Biographical information (marital status, education, etc.) - Economic activities in the last week for persons aged 15 years and older - Unemployment and economic inactivity for persons aged 15 years and above - Main work activity in the last week for persons aged 15 years and above - Earnings in the main job for employees, employers and own-account workers aged 15 years and above

    From 2010 the income data collected by South Africa's Quarterly Labour Force Survey is no longer provided in the QLFS dataset (except for a brief return in QLFS 2010 Q3 which may be an error). Possibly because the data is unreliable at the level of the quarter, Statistics South Africa now provides the income data from the QLFS in an annualised dataset called Labour Market Dynamics in South Africa (LMDSA). The datasets for LMDSA are available from DataFirst's website.

    Cleaning operations

    In general, imputation was used for item non-response (i.e., blanks within the questionnaire) and edit failures (i.e., invalid or inconsistent responses).

  15. Quarterly Labour Force Survey 2022, Quarter 3 - South Africa

    • datafirst.uct.ac.za
    Updated Nov 29, 2022
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    Statistics South Africa (2022). Quarterly Labour Force Survey 2022, Quarter 3 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/919
    Explore at:
    Dataset updated
    Nov 29, 2022
    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

    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

  16. Quarterly Labour Force Survey 2020, Quarter 3 - South Africa

    • datafirst.uct.ac.za
    Updated Feb 11, 2021
    Share
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    Statistics South Africa (2021). Quarterly Labour Force Survey 2020, Quarter 3 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/839
    Explore at:
    Dataset updated
    Feb 11, 2021
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2020
    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

    Sampling procedure

    The samping procedure for this quarter of the QLFS had to be changed from the norm due to covid-19. In this 2020 Q3 the sample used was the same sample as from Q2 and Q1 from 2020. Because the interviews were done telephonically, any sampling units that did not have telephones dropped out of the sample. This was adjusted for in the weighting procedure.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Cleaning operations

    Data has been value-labelled and 9 possibly disclosive varibles were removed from the public version.

    Data appraisal

    COVID 19 Affected data collection for QLFS 2020 Q3. Please see the data collection and sampling sections for more on this, and consult the statistical release for further information.

    Note that Q1 2020 was itself imputed based on Q4 2019, so those imputations from Q4 would carry forward to 2020 Q1 and in turn to 2020 Q2 and Q3.

    This wave of QLFS data has earnings data included, which is normally separated out into the LMDSA.

  17. Quarterly Labour Force Survey 2022 - South Africa

    • microdata.worldbank.org
    Updated Mar 2, 2023
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    Quarterly Labour Force Survey 2022 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/5764
    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

  18. Quarterly Labour Force Survey 2023, Quarter 2 - South Africa

    • datafirst.uct.ac.za
    Updated Aug 22, 2023
    Share
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    Statistics South Africa (2023). Quarterly Labour Force Survey 2023, Quarter 2 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/943
    Explore at:
    Dataset updated
    Aug 22, 2023
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2023
    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

    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

    Face-to-Face and Computer Assisted Personal and Telephone Interview

  19. Quarterly Labour Force Survey 2024, Quarter 4 - South Africa

    • datafirst.uct.ac.za
    Updated Feb 18, 2025
    Share
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    Statistics South Africa (2025). Quarterly Labour Force Survey 2024, Quarter 4 - South Africa [Dataset]. http://www.datafirst.uct.ac.za/Dataportal/index.php/catalog/1018
    Explore at:
    Dataset updated
    Feb 18, 2025
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2024
    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

    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

    Face-to-Face and Computer Assisted Personal and Telephone Interview

  20. Quarterly Labour Force Survey 2020, Quarter 2 - South Africa

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Jan 19, 2021
    Share
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    Statistics South Africa (2021). Quarterly Labour Force Survey 2020, Quarter 2 - South Africa [Dataset]. https://datacatalog.ihsn.org/catalog/9538
    Explore at:
    Dataset updated
    Jan 19, 2021
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2020
    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 samping procedure for this quarter of the QLFS had to be changed from the norm due to covid-19. In this 2020 Q2 the sample used was the same sample as from Q1 2020. Because the interviews were done telephonically, any sampling units that did not have telephones dropped out of the sample. This was adjusted for in the weighting procedure.

    Mode of data collection

    Computer Assisted Telephone Interview [cati]

    Research instrument

    The survey questionnaire consists of five section: Section 1: Biographical information (marital status, language, migration, education, training, literacy, etc.) Section 2: Economic activities for persons aged 15 years and older Section 3: Unemployment and economic inactivity for persons aged 15 years and older Section 4: Main work activities in the last week for persons aged 15 years and older Section 5: Earnings in the main job for employees, employers and own-account workers aged 15 years and older

    Data appraisal

    COVID 19 Affected data collection for QLFS 2020 Q2. Please see the data collection and sampling sections for more on this, and consult the statistical release for further information.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statistics South Africa (2022). Quarterly Labour Force Survey 2021, Quarter 3 - South Africa [Dataset]. https://catalog.ihsn.org/catalog/10307
Organization logo

Quarterly Labour Force Survey 2021, Quarter 3 - South Africa

Explore at:
Dataset updated
May 11, 2022
Dataset authored and provided by
Statistics South Africahttp://www.statssa.gov.za/
Time period covered
2021
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 Telephone Interview [cati]

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