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Quarterly Labour Force Survey 2010

South Africa, 2010
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Reference ID
ZAF_2010_QLFS-Q1_v03_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Created on
May 19, 2014
Last modified
Mar 29, 2019
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  • Study Description
  • Data Dictionary
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ZAF_2010_QLFS-Q1_v03_M

    Title

    Quarterly Labour Force Survey 2010

    Subtitle

    First Quarter

    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

    v3.0: Edited, anonymised dataset for public distribution

    Version Notes

    This version of the QLFS 2010 Q1 was downloaded from the Statistics South Africa (Stats SA) website in April 2014 as a revision to the version previously downloaded in January 2012.
    The two versions have different weights. Stats SA updated the QLFS results (2008-2013) to reflect the new population benchmarks from Census 2011. Although the weighting changes are not clearly documented by Stats SA, users are advised to remain aware of these slight calibration differences when employing weights.

    These updates are in addition to previous changes detailed below:
    This version of the QLFS 2010 Q1 was downloaded from the Statistics South Africa (Stats SA) website by DataFirst in January 2012. The filename, defined by Stats SA, indicates that this is the third version of the datafile to be made available. There is no official documentation available to corroborate this, however (of which DataFirst is aware). This version differs in a number of ways from a version obtained by DataFirst at some undeteremined time prior. Note that DataFirst has only one of the previous versions made available by Stats SA.

    The first of the observable differences between old and new versions is the way in which observations that fit into "unspecified", "not applicable" or "missing" type categories are coded for certain variables. For example, in the older version of the QLFS 2010 Q1 the "Occup" variable is coded 888, with the associated label "Not applicable", for 66,632 observations. In the newer version this category of responses is assigned the code 0 and is not labelled (as it was in the previous version) for the same 66,632 observations. This recoding process has been applied to a large number of categorical variables in the datafile. A few other categorical variables have been recoded in a similar vein but as different (non-zero) values. For example, values of 888 for "Q4212TOTALHRS" have been redefined as having the value 88.

    Second, a number of extra variables were introduced in the later version. It is unclear why these are not present in the older version of the datafile as they are detailed in metadata that was released at the same time as the original data:

    1. "Geo_type" - Geography type (e.g. urban formal, rural informal, etc.)
    2. "Hrswrk" - Hourse worked. A derived variable that was probably aimed at getting around problems created by the recoding of the hours worked variables used in the derivation of the underemployment variable
    3. "Metro_code" - Metropolitan area code (e.g. Cape Town, eThekwini, Johannesburg, etc.)
    4. "Status_Exp" - Expanded unemployment status.
    5. "Stratum" - 6 digit number representing stratum formed during master sample 2006 where digit 1 represents province, based on 2005 provincial boundaries, digits 2-3 represent the metro/non-metro area and digit 4 confers geography type.

    Finally, the two versions have different weights. To DataFirst's knowledge, the weighting changes are not clearly documented by Stats SA. The most likely explanation for the difference between the two sets of weights is that the newer version is calibrated to an updated set of mid-year population estimates. Users are advised to remain aware of these slight calibration differences when employing weights.

    Scope

    Notes

    INDIVIDUALS: labour market activity, labour preferences, labour market history, demographic characteristics, marital status, employment status, education, grants, tax.

    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

    Provincial and metropolitan level

    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

    The QLFS frame has been developed as a general purpose household survey frame that can be used by all other household surveys irrespective of the sample size requirement of the survey. The sample size for the QLFS is roughly 30 000 dwellings per quarter.

    The sample is based on information collected during the 2001 Population Census conducted by Stats SA. In preparation for the 2001 Census, the country was divided into 80 787 enumeration areas (EAs). Stats SA's household-based surveys use a Master Sample of Primary Sampling Units (PSUs) which comprises of EAs that are drawn from across the country.

    The sample is designed to be representative at the provincial level and within provinces at the metro/non-metro level. Within the metros, the sample is further distributed by geography type. The four geography types are: urban formal, urban informal, farms and tribal. This implies, for example, that within a metropolitan area the sample is representative at the different geography types that may exist within that metro.

    The current sample size is 3 080 PSUs. 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 to four and these numbers also correspond to the quarters of the year in which the sample will be rotated for the particular group.

    The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of primary sampling units (PSUs) in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.

    Weighting

    Stats SA updated the QLFS results (2008-2013) to reflect the new population benchmarks from Census 2011. Although the weighting changes are not clearly documented by Stats SA, users are advised to remain aware of these slight calibration differences between the previous version and the current (revised) data version when employing weights.

    Data collection

    Dates of Data Collection
    Start End
    2010-01 2010-03

    Data Access

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

    Public use files, accessible to all

    Citation requirements

    Statistics South Africa. Quarterly Labour Force Survey 2010: Q1 [dataset]. Version 3.0. Pretoria: Statistics South Africa [producer], 2010. Cape Town: DataFirst [distributor], 2012.

    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.

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst University of Cape Town info@data1st.org http://www.datafirst.uct.ac.za
    User Information Services Statistics South Africa info@statsa.gov.sa http://www.statsa.gov.za

    Metadata production

    DDI Document ID

    DDI_ZAF_2010_QLFS-Q1_v03_M

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town DDI Producer
    World Bank, Development Data Group The World Bank Updated the DDI
    Date of Metadata Production

    2012-07-12

    Metadata version

    DDI Document version

    Version 03 (April 2014)

    This version is identical to Version 02, with revisions to data.

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