Quarterly Labour Force Survey 2020, Quarter 4
South Africa, 2020
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Reference ID
zaf-statssa-qlfs-2020-q4-v2
Producer(s)
Statistics South Africa
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Created on
Mar 29, 2021
Last modified
Feb 04, 2022
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Identification
Survey ID Number
zaf-statssa-qlfs-2020-q4-v2
Title
Quarterly Labour Force Survey 2020, Quarter 4
Subtitle
Quarter 4
Country
| Name | Country code |
|---|---|
| South Africa | zaf |
Study type
Labour 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
Unit of Analysis
Individuals
Version
Version Description
v2.0: Edited, anonymised dataset for public distribution
Version Date
2020-03-28
Version Notes
Version 1 was accessed by DataFirst on the 22nd of March 2021. It didn't contain covid variables.
Version 2 was received by DataFirst from Stats SA on the 16th of July 2021. It contains the 9 covid variables and is otherwise the same as version 1.
Version 2 was received by DataFirst from Stats SA on the 16th of July 2021. It contains the 9 covid variables and is otherwise the same as version 1.
Scope
Notes
For Q4 2020 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.
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
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 samping procedure for this quarter of the QLFS had to be changed from the norm due to covid-19. In this 2020 Q4 the sample used was the same sample as from Q3, Q2 and Q1 from 2020. Because the interviews were done telephonically, any sampling units that did not have telephones dropped out of the sample. This was adjusted for in the weighting procedure.
Weighting
Because the survey was done telehponically, households without telephones were essentially out of scope. To account for this problem,weights were "bias-adjusted" by Statistics South Africa. There was also significant imputation done to try and make the data more representative, despite covid.
For more details see section 4 of the stastical release and the metadata document.
For more details see section 4 of the stastical release and the metadata document.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2020-10 | 2020-12 |
Data Collection Mode
Face-to-face [f2f]
Data Processing
Data Editing
In general, imputation is used for item non-response (i.e. blanks within the questionnaire) and edit failures (i.e. invalid or inconsistent responses).
Access policy
Access conditions
Public access data, available to all
Citation requirements
Statistics South Africa. Quarterly Labour Force Survey 2020: Q4 [dataset]. Version 2. Pretoria: Statistics South Africa [producer], 2021. Cape Town: DataFirst [distributor], 2021. DOI: https://doi.org/10.25828/gd4d-s714
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | Link |
Metadata production
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | DDI Producer |
Date of Metadata Production
2022-02-04
DDI Document version
Version 3