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    Home / Data Site / LFS-QLFS-LMDSA / ZAF-STATSSA-LMDSA-2024-V1
LFS-QLFS-LMDSA

Labour Market Dynamics in South Africa 2024

South Africa, 2024
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Reference ID
zaf-statssa-lmdsa-2024-v1
DOI
https://doi.org/10.25828/byqs-k618
Producer(s)
Statistics South Africa
Collections
South African Labour Force Survey Data
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jul 02, 2026
Last modified
Jul 02, 2026
Page views
135
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1
  • 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-lmdsa-2024-v1

    Title

    Labour Market Dynamics in South Africa 2024

    Abbreviation or Acronym

    LMDSA 2024

    Country
    Name Country code
    South Africa zaf
    Study type

    Labour Force Survey

    Other identifiers
    Type Identifier
    DOI 10.25828/byqs-k618
    Abstract

    The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa that collects data on the labour market activities of individuals aged 15 years or older who live in South Africa. Since 2008, Statistics SA has produced an annual dataset based on the QLFS data, Labour Market Dynamics in South Africa (LMDSA). The LMDSA 2024 is constructed using data from all four QLFS collected in 2024. The data also includes several variables (including income) that are not available in any of the QLFS datasets since 2010.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Individuals

    Version

    Version Description

    v1: Edited, anonymised dataset for public distribution

    Version Date

    2026

    Version Notes

    Version 1 was originally downloaded from Stats SA on June 26 2026

    Coverage

    Geographic Coverage

    The survey had national coverage.

    Geographic Unit

    The lowest level of geographic aggregation is Province.

    Universe

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

    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

    Sampling Procedure

    The Quarterly Labour Force Survey (QLFS) uses the 2013 Master Sample, which was developed from the 2011 Population Census as a general-purpose sampling frame for household surveys conducted by Statistics South Africa. The sampling frame is based on 103,576 census enumeration areas (EAs), which were aggregated into 3,324 primary sampling units (PSUs). This represented an 8% increase from the previous 2008 Master Sample to improve the precision of survey estimates by reducing sampling variability. The Master Sample includes approximately 33,000 dwelling units and is designed to produce representative estimates at the national, provincial, metropolitan/non-metropolitan, and geographic-type (urban, tribal, and farm) levels.

    The QLFS employs a stratified two-stage sampling design. In the first stage, PSUs are selected using probability proportional to size (PPS) sampling, while in the second stage, dwelling units are selected systematically within each sampled PSU. To support the survey's rotating panel design, the Master Sample is divided equally into four rotation groups, each reflecting the same distribution as the full sample. One rotation group is replaced each quarter, allowing the survey to balance continuity for labour market analysis with the introduction of new households over time.
    Please refer to Labour Market Dynamics in South Africa Metadata 2024 (lmdsa-2024-metadata) for more information on sampling.

    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 (EAs with insufficient DUs); non-response; weight trimming; benchmarking to known population estimates from the Demographic Analysis Chief Directorate within Stats SA; and raking to bias-adjusted control estimates from a Bias Adjustment procedure to compensate for the non-coverage bias in the sample due to only observing those households that can be contacted by telephone. Please refer to Labour Market Dynamics in South Africa Metadata 2024 (lmdsa-2024-metadata) for more information on weights.

    Data Collection

    Dates of Data Collection
    Start End
    2024 2024
    Time Method

    Cross-section [cross section]

    Time periods
    Start date End date
    January 2024 December 2024
    Data Collectors
    Name Affiliation Abbreviation
    Statistics South Africa Government of South Africa StatsSA

    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. Labour Market Dynamics in South Africa 2024 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2026. Cape Town: DataFirst [distributor], 2026. DOI: https://doi.org/10.25828/byqs-k618

    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-lmdsa-2024-v1

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

    2026-07

    Metadata version

    DDI Document version

    Version 1

    citation

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