Login
Login

  • DataFirst Home
  • Open Data Portal
  • Collections
  • Citations
  • Contact us
    Home / Data Portal / STATSSA / ZAF-STATSSA-QLFS-2017-Q4-V1.0
StatsSA

Quarterly Labour Force Survey 2017, Quarter 4

South Africa, 2017
Get Microdata
Reference ID
zaf-statssa-qlfs-2017-q4-v1.0
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
DDI/XML JSON
Created on
May 11, 2018
Last modified
Jul 02, 2020
Page views
14494
Downloads
2083
  • Study Description
  • Data Description
  • Downloads
  • Get Microdata
  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Access policy
  • Metadata production

Identification

Survey ID Number
zaf-statssa-qlfs-2017-q4-v1.0
Title
Quarterly Labour Force Survey 2017, Quarter 4
Subtitle
Quarter 4
Country
Name Country code
South Africa zaf
Study type
Labor 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 [ssd]
Unit of Analysis
Individuals

Version

Version Description
v1.0: Edited, anonymised dataset for public distribution
Version Date
2018-02-13
Version Notes
This version was downloaded by DataFirst on the 10th of November 2018.

Scope

Notes
INDIVIDUALS: labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax.
Keywords
Keyword
Employment
in-job training
labour relations/conflict
retirement
unemployment
working conditions
labour and employment
trade, industry and markets
demographics and population.

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 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 Data Collection
Start End
2017-10 2017-12
Data Collection Mode
Face-to-face [f2f]

Access policy

Contacts
Name Affiliation Email URL
DataFirst Helpdesk University of Cape Town support@data1st.org Link
Access conditions
Public use data, available to all
Citation requirements
Statistics South Africa. Quarterly Labour Force Survey 2017: Q4 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2018. DOI: https://doi.org/10.25828/ec6v-0378
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 DDI Producer
Date of Metadata Production
2020-03-31
DDI Document version
Version 2
Back to Catalog
DataFirst

© DataFirst, All Rights Reserved.