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Quarterly Labour Force Survey 2018

South Africa, 2018
DataFirst , University of Cape Town, South Africa
Statistics South Africa
Last modified September 06, 2018 Page views 3020 Documentation in PDF Study website Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Data Description
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production

Identification

IDNO
ZAF_2018_QLFS-Q2_v01_M
Title
Quarterly Labour Force Survey 2018
Subtitle
Quarter 2
Countries
Name Code
South Africa ZAF
Study notes
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 [ssd]

Version

Version
v1.0: Edited, anonymised dataset for public distribution
Version date
2018-07-31
Version notes
This version was downloaded by DataFirst on the 31st of August 2018.

Scope

Topics
Topic Vocab metadata.study_desc.study_info.topics.uri
employment [3.1] CESSDA http://www.nesstar.org/rdf/common
in-job training [3.2] CESSDA http://www.nesstar.org/rdf/common
labour relations/conflict [3.3] CESSDA http://www.nesstar.org/rdf/common
retirement [3.4] CESSDA http://www.nesstar.org/rdf/common
unemployment [3.5] CESSDA http://www.nesstar.org/rdf/common
working conditions [3.6] CESSDA http://www.nesstar.org/rdf/common
LABOUR AND EMPLOYMENT [3] CESSDA http://www.nesstar.org/rdf/common
TRADE, INDUSTRY AND MARKETS [2] CESSDA http://www.nesstar.org/rdf/common
DEMOGRAPHY AND POPULATION [14] CESSDA http://www.nesstar.org/rdf/common

Coverage

Geographic coverage
National coverage
Geographic unit
Provincial and metropolitan level
Unit of analysis
Individuals
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

Authoring entity
Name
Statistics South Africa

Sampling

Sampling procedure
The Quarterly Labour Force Survey (QLFS) uses a master sample frame which has been developed as a general-purpose household survey frame that can be used by all other Stats SA household surveys that have reasonably compatible design requirement as the QLFS. The 2013 master sample is based on information collected during the 2011 population Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the master sample since they covered the entire country and had other information that is crucial for stratification and creation of PSUs. There are 3 324 primary sampling units (PSUs) in the master sample with an expected sample of approximately 33 000 dwelling units (DUs). The number of PSUs in the current master sample (3 324) reflects an 8,0% increase in the size of the master sample compared to the previous (2007) master sample (which had 3 080 PSUs). The larger master sample of PSUs was selected to improve the precision (smaller CVs) of the QLFS estimates.

The master sample is designed to be representative at provincial level and within provinces at metro/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are:urban, tribal and farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro. It is divided equally into four sub-groups or panels called rotation groups. The rotation groups are designed in such a way that each of these groups has the same distribution pattern as that which is observed in the whole sample. They are numbered from one (1) to four (4) and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group.

There are a number of aspects in which the 2013 version of the master sample differs from the 2007 version. In particular, the number of primary sample units increased. Mining strata were also introduced which serves to improve the efficiency of estimates relating to employment in mining. The number of geo-types was reduced from 4 to 3 while the new master sample allows for the publication of estimates of the labour market at metro level. The master sample was also adjusted Given the change in the provincial distribution of the South African population between 2001 and 2011. There was also an 8% increase in the sample size of the master sample of PSUs to improve the precision of the QLFS estimates. The sample size increased most notable in Gauteng, the Eastern Cape and KwaZulu-Natal. For more details on the differences between the two master samples please consult the section 8 (technical notes) of the QLFS 2015 Q3 release document (P0211).

From the master sample frame, the QLFS takes draws exmploying 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. The primary stratification occurred at provincial, metro/non-metro, mining and geography type while the secondary strata were created within the primary strata based on the demographic and socio-economic characteristics of the population.

For each quarter of the QLFS, a ¼ of the sampled dwellings is rotated out of the sample. These dwellings are replaced by new dwellings from the same PSU or the next PSU on the list. Thus, sampled dwellings are expected to remain in the sample for four consecutive quarters. 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 the next two quarters. If no household moves into the sampled dwelling, the dwelling will be classified as vacant (or unoccupied).

Data Collection

Dates of collection
Start End
2018-04 2018-06
Mode of data collection
Face-to-face [f2f]

Data access

Access authorities
Name Affiliation Email URI
DataFirst University of Cape Town support@data1st.org http://www.datafirst.uct.ac.za
Access conditions
Public use data, available to all
Citation requirements
Statistics South Africa. Quarterly Labour Force Survey 2018: Q2 [dataset]. Version 1.0. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2018.

Disclaimer and copyrights

Copyrights
Copyright, Statistics South Africa

Contacts

Contact(s)
Name Affiliation Email URI
DataFirst Helpdesk University of Cape Town support@data1st.org http://support.data1st.org/

Metadata production

IDNo
DDI_ZAF_2018_QLFS-Q2_v01_M
Producers
Name Affiliation Role
DataFirst University of Cape Town DDI Producer
Production date
2018-08-31
Version
Version 01 (September 2018): This DDI is identical to ddi-zaf-datafirst-qlfs-2018-q2-v1.0 which was downloaded from the DataFirst website.
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