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Quarterly Labour Force Survey 2021
Quarter 4

South Africa, 2021
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Reference ID
ZAF_2021_QLFS-Q4_v01_M
Producer(s)
Statistics South Africa
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jun 17, 2022
Last modified
Jun 17, 2022
Page views
779
Downloads
86
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Data Processing
  • Access policy
  • Disclaimer and copyrights
  • Metadata production

Identification

Survey ID Number
ZAF_2021_QLFS-Q4_v01_M
Title
Quarterly Labour Force Survey 2021
Subtitle
Quarter 4
Country/Economy
Name Country code
South Africa ZAF
Study type
Labor Force Survey [hh/lfs]
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 [ssd]
Unit of Analysis
Individuals

Version

Version Description
Version 01: Edited, anonymised dataset for public distribution
Version Date
2022
Version Notes
This version was retrieved by DataFirst on the 29 March 2022.

Scope

Notes
For Q4 2021 Statistics South Africa continued to use Computer Assisted Telephone Interviewing (CATI), 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 annualized 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 Affiliation
Statistics South Africa Government of 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
2021-10 2021-12
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
COVID 19 affected data collection for QLFS 2021 Q4. Please see the sampling section and the statistical release for more on this.

Questionnaires

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

Data Processing

Other Processing
In general, imputation is used for item non-response (i.e., blanks within the questionnaire) and edit failures (i.e., invalid or inconsistent responses). The eligible households in the sampled dwellings can be divided into two response categories: respondents and non-respondents. Weight adjustment is applied to account for the non-respondent households (e.g., refusal, no contact, etc.). The adjustment for total non-response was computed at two levels of non-response: PSU non-response and household non-response.

Access policy

Contacts
Name Affiliation Email
DataFirst Support University of Cape Town 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 2021: Q4 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2022. Cape Town: DataFirst [distributor], 2022. DOI: https://doi.org/10.25828/kc6k-g071
Access authority
Name Affiliation Email URL
DataFirst University of Cape Town support@data1st.org support.data1st.org

Disclaimer and copyrights

Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

Metadata production

DDI Document ID
DDI_ZAF_2021_QLFS-Q4_v01_M
Producers
Name Abbreviation Affiliation Role
DataFirst University of Cape Town Metadata producer
Development Economics Data Group DECDG The World Bank Metadata adapted for Microdata Library
Date of Metadata Production
2022-03-29
DDI Document version
Version 01: This metadata was downloaded from the DataFirst website (https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/central). The following two metadata fields were edited - Document and Survey ID.
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