Home / Data Portal / STATSSA / ZAF-STATSSA-QLFS-2022-Q1-V1
StatsSA

Quarterly Labour Force Survey 2022, Quarter 1

South Africa, 2022
Get Microdata
Reference ID
zaf-statssa-qlfs-2022-q1-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Jun 08, 2022
Last modified
Jun 20, 2022
Page views
29588
Downloads
2464
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Access
  • Metadata production

    • Identification

    Survey ID number

    zaf-statssa-qlfs-2022-q1-v1
    Title

    Quarterly Labour Force Survey 2022
    Subtitle

    Quarter 1
    Country
    Name Country code
    South Africa RSA
    Study type

    Labour Force Survey
    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.
    Kind of Data

    Sample survey data
    Unit of Analysis

    Individuals

    Version

    Version Description

    v1: Edited, anonymised dataset for public distribution
    Version Date

    2022
    Version Notes

    This version was retrieved by DataFirst on the 8th of June 2022.

    Scope

    Notes

    For Q1 2022 Statistics South Africa contiued to use Computer Assisted Telephone Interviewing, in an attempt to reduce the spread of COVID-19. This meant that households without telephones were out of scope. See the statistical release for more information.

    INDIVIDUALS: labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax.

    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.

    Coverage

    Geographic Coverage

    National coverage
    Geographic Unit

    Provincial and metropolitan level, as well as by geographic type.
    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.

    Producers and sponsors

    Primary investigators
    Name
    Statistics South Africa

    Sampling

    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.
    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.

    Data Collection

    Dates of Data Collection
    Start End Cycle
    2022-01 2022-03 N/A
    Data Collection Notes

    COVID 19 Affected data collection for QLFS 2022 Q1. Please see the sampling section and the statistical release for more on this.

    Data Access

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

    Public access data for use under a Creative Commons CC-BY (Attribution-only) License
    Citation requirements

    Statistics South Africa. Quarterly Labour Force Survey 2022: Q1 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2022. Cape Town: DataFirst [distributor], 2022. DOI: https://doi.org/10.25828/xra9-9483

    Metadata production

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

    2022-06-08

    Metadata version

    DDI Document version

    Version 1
    Back to Catalog