Quarterly Labour Force Survey 2022, Quarter 4
South Africa, 2022
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Reference ID
zaf-statssa-qlfs-2022-q4-v1
Producer(s)
Statistics South Africa
Collections
Metadata
Created on
Mar 03, 2023
Last modified
Mar 03, 2023
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1093
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Identification
Survey ID Number
zaf-statssa-qlfs-2022-q4-v1
Title
Quarterly Labour Force Survey 2022, Quarter 4
Subtitle
Quarter 4
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 3 March 2023.
Scope
Notes
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.
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 | 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.
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 |
|---|---|---|
| 2022-10 | 2022-12 | N/A |
Data Collection Mode
Computer Assisted Personal Interview
Data Collection Notes
COVID 19 affected data collection for QLFS for Q2: 2020 to Q4: 2021 where data was collected using Computer-assisted Telephone Interviewing (CATI). Since 2022, StatsSA took a decision to revert to face-to-face data collection using Computer-assisted Personal Interviewing (CAPI). In that regard, data collections were mainly conducted using face-to-face interviewing with CAPI.
Access policy
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: Q4 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2022. Cape Town: DataFirst [distributor], 2023. DOI: https://doi.org/10.25828/g4v0-1a96
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | support.data1st.org |
Metadata production
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Date of Metadata Production
2023-03-03
DDI Document version
Version 1