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
Created on
Jul 13, 2020
Last modified
Jan 19, 2021
Page views
10380
Downloads
1431
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.
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.
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 | 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 | 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