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Labour Force Survey 2004

South Africa, 2004
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Reference ID
ZAF_2004_LFS-MAR_v02_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ZAF_2004_LFS-MAR_v02_M

    Title

    Labour Force Survey 2004

    Subtitle

    March

    Country
    Name Country code
    South Africa zaf
    Study type

    Labor Force Survey [hh/lfs]

    Abstract

    The LFS is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in South Africa. It measures a variety of issues related to the labour market,including unemployment rates (official and expanded), according to standard definitions of the International Labour Organisation (ILO).

    All editions of the LFS have been updated (some more than once) since their release. These version changes are detailed in a document available from DataFirst (in the "external documents" section titled "LFS 2000-2008 Collated Version Notes on the South African LFS").

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households (dwellings) and individuals

    Version

    Version Description

    v2: Edited, anonymised dataset for licensed distribution

    Version Date

    2011

    Version Notes

    The South AfricanMarch 2004 LFS dataset was originally released in September 2004 as 3 data files (household, person and worker). A second version was downloaded from the Statistics South Africa website in August 2011 by DataFirst. This version differed slightly from the originally obtained release. Most notably, weights were recast to reflect population estimates released in February 2005. This version was also benchmarked to the 2001 South African census (whereas previously, it had been benchmarked to the 1996 South African census). As a result, the weight variables in each data file differ between versions 1.0 and 2.0.

    Scope

    Notes

    Household characteristics, household listing, demographics, education, economic activity, work for pay, business ownership, unemployment, employers, main work activity in the past week, wages, salary, employment, migration

    Topics
    Topic Vocabulary 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

    Province (variable name: "Prov") - note that this variable is conspicuously absent from the Household data file, but is present in the Person and Worker data files.

    Universe

    The LFS sample covers the non-institutional population except for workers' hostels. However, 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 LFS is a twice-yearly rotating panel household survey. A rotating panel sample involves visiting the same dwelling units on a number of occasions (in this instance, five at most), and replacing a proportion of these dwelling units each round. New dwelling units are added to the sample to replace those that are taken out. The pilot round of LFS fieldwork took place in February 2000, based on a probability sample of 10 000 dwelling units. This survey took place six months later, using a larger probability sample of 30,000 dwelling units. Among the 10,000 households visited in February, approximately 40% were re-visited in September 2000. The fieldworkers had some difficulty in identifying certain dwelling units in the sample, particularly in those areas where there are no addresses.

    The Master Sample is based on the 1996 Population Census of enumeration areas (EA) and the estimated number of dwelling units from the 1996 Population Census. All 3000 PSUs included in the Master Sample were used in the Labour Force Survey. A PSU is either one EA or several EAs when the number of dwelling units in the base or originally selected EA was found to have less than 100 dwelling units. Each EA had to have approximately 150 dwelling units but it was discovered that many contained less. Thus, in some cases, it has been found necessary to add EAs to the original (census) EA to ensure that the minimum requirement of 100 dwellings, in the first stage of forming the PSUs, was met. The size of the PSUs in the Master Sample varied from 100 to 2445 dwelling units. Special dwellings such as prisons, hospitals, boarding houses, hotels, guest houses (whether catering or self-catering), schools and churches were excluded from the sample.

    Explicit stratification of the PSUs was done by province and area type (urban/rural). Within each explicit stratum, the PSUs were implicitly stratified by District Council, Magisterial District and, within the magisterial district, by average household income (for formal urban areas and hostels) or EA. The allocated number of EAs was systematically selected with "probability proportional to size" in each stratum. Once the PSUs included in the sample were known, their boundaries had to be identified on the ground. After boundary identification, the next stage was to list accurately all the dwelling units in the PSUs.

    The second stage of the sample selection was to draw from the dwelling units listing whereby a systematic sample of 10 dwelling units was drawn from each PSU. As a result, approximately 30,000 households (units) were interviewed. However, if there was growth of more than 20% in a PSU, then the sample size was increased systematically according to the proportion of growth in the PSU.

    A new master sample was drawn in September 2004, benchmarked to Census 2001, for the LFS for the proceeding five years.

    Weighting

    The initial weights (household weights), based on the sample design, were equal to the inverse of the probability of selection. The initial weight for each member of the household was the same as the weight for the household itself. Further adjustment factors were then calculated within PSUs to account for non-response. To adjust for under-enumeration and to align survey estimates with independent population estimates, the weights were calibrated against Person benchmarks. A software package called CALMAR was used to perform this calibration. Using an iterative procedure, CALMAR adjusted the weights so that Person estimates conformed as closely as possible to external Person benchmarks. Gender, race and age group parameters were used for the Person cross-classification of the population.

    Stats SA revised their population model to produce mid-year population estimates in the light of mortality data released in 2005 (see Stats SA Statistical Release P0309.3, 2005). The benchmarks for the LFS discussed in this statistical release have been adjusted accordingly. Weights were then adjusted according to those 2005 population estimates.

    Data collection

    Dates of Data Collection
    Start End
    2004-03 2004-03

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town http://www.datafirst.uct.ac.za info@data1st.org
    Access conditions

    Licensed dataset, accessible under conditions

    Citation requirements

    Statistics South Africa. Labour Force Survey: March 2004. [dataset]. Version 2. Pretoria: Statistics South Africa [producer], 2004. Cape Town: DataFirst [distributor], 2011.

    Disclaimer and copyrights

    Disclaimer

    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.

    Copyright

    Copyright, Statistics South Africa

    Contacts

    Contacts
    Name Affiliation Email URL
    Manager, DataFirst University of Cape Town info@data1st.org http://www.datafirst.uct.ac.za

    Metadata production

    DDI Document ID

    DDI_ZAF_2004_LFS-MAR_v02_M

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town DDI Producer
    Date of Metadata Production

    2012-07-09

    Metadata version

    DDI Document version

    Version 01 (July 2012) - Adapted version of the DDI "ddi-zaf-datafirst-lfs-2004-mar-v1.2" received from Data First.

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