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

Quarterly Labour Force Survey 2022, Quarter 1

South Africa, 2022
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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
5430
Downloads
751
  • Study Description
  • Data Description
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Access policy
  • Metadata production

Identification

Survey ID Number
zaf-statssa-qlfs-2022-q1-v1
Title
Quarterly Labour Force Survey 2022, Quarter 1
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 Mode
Computer Assisted Telephone Interview
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.

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: Q1 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2022. Cape Town: DataFirst [distributor], 2022. DOI: https://doi.org/10.25828/xra9-9483
Access authority
Name Affiliation Email 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
2022-06-08
DDI Document version
Version 1
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