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    Home / Data Portal / STATSSA / ZAF-STATSSA-LMDSA-2018-V1
StatsSA

Labour Market Dynamics in South Africa 2018

South Africa, 2018
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Reference ID
zaf-statssa-lmdsa-2018-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa African Centre of Excellence for Inequality Research
Metadata
DDI/XML JSON
Created on
Jul 13, 2020
Last modified
Jan 19, 2021
Page views
10380
Downloads
1431
  • Study Description
  • Data Description
  • Downloads
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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-lmdsa-2018-v1
Title
Labour Market Dynamics in South Africa 2018
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 (StatsSA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa. Since 2008, StatsSA have produced an annual dataset based on the QLFS data, "Labour Market Dynamics in South Africa". The dataset is constructed using data from all all four QLFS datasets in the year. The dataset also includes a number of variables (including income) that are not available in any of the QLFS datasets from 2010.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Individuals

Version

Version Description
v1: Edited, anonymised dataset for public distribution
Version Date
2020
Version Notes
Version 1 of the Labour Market Dynamics in South Africa 2018 was downloaded from the Statistics South Africa website on the 13th of July 2020

Scope

Notes
Individuals: labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax, income.
Keywords
Keyword
Individual income
education
health systems & financing
social protection (includes Pensions, Safety Nets, Social Funds)
labor markets
primary education.

Coverage

Geographic Coverage
The survey had national coverage.
Geographic Unit
The lowest level of geographic aggregation for the data is Province.
Universe
The QLFS sample covers the non-institutional population except for those in workers' hostels. However, persons living in private dwelling units within institutions are 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
Each year the LMDSA is created by combining the QLFS waves for that year and then including some additional variables. The QLFS master frame for this LMDSA was based on the 2011 population census by Stas SA. The sampling is stratified by province, district, and geographic type (urban, traditional, farm).

There are 3324 PSUs drawn each year, using probability proportional to size (PPS) sampling. In the second stage Dwelling Units (DUs) are systematically selected from PSUs. The 3324 PSU are split into four groups for the year, and at each quarter the DUs from the given group are replaced by substitute DUs from the same PSU or the next PSU on the list (in the same group). It should be noted that the sampling unit is the dwelling, and the unit of observation is the household. Therefore, if a household moves out of a dwelling after being in the sample for, two quarters and a new household moves in, the new household will be enumerated for two more quarters until the DU is rotated out. If no household moves into the sampled dwelling, the dwelling will be classified as vacant (or unoccupied).

For more information see the statistical release that accompanies the data.
Weighting
The sampling weights for the data collected from the sampled households are constructed in such a manner that the responses could be properly expanded to represent the entire civilian population of South Africa. The weights are the result of calculations involving several factors, including original selection probabilities, adjustment for non-response, and benchmarking to known population estimates from the Demography division of Stats SA. For more information see the metadata document.

It appears as though Stats SA also calculated panel weights for the households that were repeatedly sampled across quarters. These are not released with this version of the LMDSA.

Weighting adjustments were used for household non-response.

Data Collection

Dates of Data Collection
Start End
2018-01 2018-12
Data Collection Mode
Face-to-face [f2f]

Access policy

Contacts
Name Email URL
DataFirst Helpdesk support@data1st.org Link
Access conditions
Public use files, available to all
Citation requirements
Statistics South Africa. Labour Market Dynamics in South Africa 2018 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2020. DOI: https://doi.org/10.25828/cq37-bn90
Access authority
Name Affiliation Email URL
DataFirst University of Cape Town support@data1st.org Link

Metadata production

Producers
Name Affiliation Role
DataFirst University of Cape Town Metadata creator
Date of Metadata Production
2020-07-13
DDI Document version
Version 1
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