Labour Market Dynamics in South Africa 2019
South Africa, 2019
Get MicrodataIdentification
ZAF_2019_LMDSA_v01_M
Labour Market Dynamics in South Africa 2019
| Name | Country code |
|---|---|
| South Africa | ZAF |
Labor Force Survey [hh/lfs]
Statistics South Africa. Labour Market Dynamics in South Africa 2019 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2019. Cape Town: DataFirst [distributor], 2021.
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 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.
Sample survey data [ssd]
Individuals
Version
Version 1.1: Edited, anonymised dataset for public distribution
2021
Version 1 of the Labour Market Dynamics in South Africa 2019 was downloaded from Statistics South Africa on the 19th of January 2021. Unforutunately, the earnings variables had all values missing.
Version 1.1 was downloaded from Statistics South Africa on the 29th of January 2021. It includes earnings data.
Scope
Individuals: labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax, income.
Coverage
National coverage
The lowest level of geographic aggregation is by Province.
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
| Name |
|---|
| Statistics South Africa |
| Name |
|---|
| Statistics South Africa |
Sampling
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.
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.
Survey instrument
The survey questionnaire consists of the following sections:
- Particulars of each person in the household
- Economic activities in the last week for persons aged 15 years
- Unemployment and economic inactivity for persons aged 15 years
- Main work activity in the last week for persons aged 15 years
- Earnings in the main job for employees, employers and own-account workers aged 15 years
- Migration for all persons aged 15 years
Data collection
| Start | End |
|---|---|
| 2019-01 | 2019-12 |
Data appraisal
The statistical release notes that missing values were "generally imputed" for item non-response but provides no detail on how Stats SA did so.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support.data1st.org | support@data1st.org |
Public use files, available to all
Statistics South Africa. Labour Market Dynamics in South Africa 2019 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2019. Cape Town: DataFirst [distributor], 2021.
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | |
|---|---|---|
| DataFirst Support | University of Cape Town | support@data1st.org |
Metadata production
DDI_ZAF_2019_LMDSA_v01_M
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
| Development Economics Data Group | The World Bank | Metadata adapted for Microdata Library |
2021-01-29
Metadata version
Version 01: This metadata was downloaded from DataFirst website(https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/central). The following two metadata information has been edited – Document and Survey ID.