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Survey of Activities of Young People 1999

South Africa, 1999
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Reference ID
ZAF_1999_SAYP_v01_M
Producer(s)
Statistics South Africa
Metadata
DDI/XML JSON
Study website
Created on
Jan 09, 2012
Last modified
Mar 29, 2019
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
  • Scope
  • Coverage
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  • Sampling
  • Survey instrument
  • Data collection
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  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ZAF_1999_SAYP_v01_M

    Title

    Survey of Activities of Young People 1999

    Country
    Name Country code
    South Africa zaf
    Study type

    Other Household Survey [hh/oth]

    Abstract

    The Survey of Activities of Young People was conducted by Statistics South Africa and commissioned by the Department of Labour, primarily to gather information necessary for formulating an effective programme of action to address the issue of harmful work done by children in South Africa. Technical assistance for the survey was provided by the International Labour Organisation (ILO) and a consultant appointed by the Department of Labour. Stats SA also worked with an advisory committee, consisting of representatives from national government departments most directly concerned with child labour (the Departments of Labour,Welfare,Education and Health), non-governmental organisations, and the United Nations Children's Fund (Unicef).

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Units of analysis in the study were households and individuals

    Version

    Version Description

    v1: Edited, anonymised dataset for licensed distribution

    Version Date

    2001

    Scope

    Notes

    The study examines both economic and non-economic work activities of children in South Africa. Proxy indicators of children's work included the type of activity, hours spent on the activity and whether the environment in which the activity took place was hazardous.

    Topics
    Topic Vocabulary URI
    employment [3.1] CESSDA http://www.nesstar.org/rdf/common
    working conditions [3.6] CESSDA http://www.nesstar.org/rdf/common
    children [12.1] CESSDA http://www.nesstar.org/rdf/common
    gender and gender roles [12.6] CESSDA http://www.nesstar.org/rdf/common
    youth [12.10] CESSDA http://www.nesstar.org/rdf/common
    time use [13.9] CESSDA http://www.nesstar.org/rdf/common

    Coverage

    Geographic Coverage

    The survey had national coverage

    Geographic Unit

    The lowest level of geographic aggregation in the study is Province.

    Universe

    The sampled population was household members in South Africa. The survey excluded all people in prison, patients in hospitals, people residing in boarding houses and hotels, and boarding schools. Any single person households were screened out in all areas before the sample was drawn. Families living in hostels were treated as households.

    Producers and sponsors

    Primary investigators
    Name
    Statistics South Africa
    Funding Agency/Sponsor
    Name Role
    International Programme on the Elimination of Child Labour (ILO) Funder
    United States Department of Labour Funder
    Other Identifications/Acknowledgments
    Name Role
    South African Department of Labour Technical Assistance

    Sampling

    Sampling Procedure

    The sample frame was based on the 1996 Population Census Enumerator Areas (EA) and the number of households counted in 1996 Population Census. The sampled population excluded all prisoners in prison, patients in hospitals, people residing in boarding houses and hotels (whether temporary or semi-permanent), and boarding schools. Any single person households were screened out in all areas before the sample was drawn. Families living in hostels were treated as households. Coverage rules for the survey were that all children of usual residents were to be included even if they were not present. This means that most boarding school pupils were included in their parents’ household. The 16 EA types from the 1996 Population Census were condensed into four area types. The four area types were Formal Urban, Informal Urban, Tribal, and Commercial Farms. A decision was made to drop the Institution type EAs.

    The EAs were stratified by province, and within a province by the four area types defined above. The sample size (6110 households) was disproportionately allocated to strata by using the square root method. Within the strata the EAs were ordered by magisterial district and the EA-types included in the area type (implicit stratification). PSUs consisted of ONE or more EAs of size 100 households to
    ensure sufficient numbers for screening. Statistics SA was advised by child labour experts that there was a likelihood of high rates of child labour in the Urban Informal and Rural Farm areas. The sample allocation to Rural Commercial Farms was therefore increased to a minimum of 20 PSUs.

    Weighting

    Two different sets of weights were used for this study, i.e. household and individual weights. The 1996 population census, as adjusted by a post-enumeration survey (PES), was used as a basis for the weighting. Household weights were calculated by using the reciprocal of the inclusion probabilities. For the person weight, the inflated data were post-stratified by province, gender and age group and a population control adjustment based on the Stats SA population estimate (using the 1996 population census) was applied.

    Survey instrument

    Questionnaires

    The Phase one questionnaire covered the following topics:
    Living conditions of the household, including the type of dwelling, fuels used for cooking, lighting and heating,water source for domestic use, land ownership,tenure and cultivation; demographic information on members of the household, both adults and children. Questions covered the age, gender and population group of each household member, their marital status, their relationships to each other, and their levels of education; migration details; household income; school attendance of children aged 5 -17 years; information on economic and non-economic activities of children aged 5-17 years in the 12 months prior to the survey

    Phase two questionnaire
    The second phase questionnaire was administered to the sampled sub-set of households in which at least one child was involved in some form of work in the year prior to the interview. It covered activities of children in much more detail than in phase one, and the work situation of related adults in the household. Both adults and children were asked to respond.

    The data files contain data from sections of the questionnaires as follows:

    PERSON: Data from Section 1, 2 and 3 of the questionnaire
    HHOLD : Data from Section 4
    ADULT : Data from Section 5
    YOUNGP: Data from Section 6, 7, 8 and 9

    Data collection

    Dates of Data Collection
    Start
    1999
    Data Collection Notes

    The survey was conducted in two phases: In Phase1 interviews were conducted in a representative sample of 26 081 households throughout the country, to determine the extent of child labour. In Phase 2 follow-up interviews were conducted in a sub-sample of 4 494 of the households in which Phase I had shown at least one child was engaged in work-related activities. More extensive questions about the nature of work the children were doing were put to an adult in the
    household, and to the child or children themselves involved in these activities

    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. Survey of activities of young people 1999. [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2001. 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_1999_SAYP_v02_M

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

    2012-01-04

    Metadata version

    DDI Document version

    Version 1
    Version 2 : World Bank, DECDG, Study and DDI ID's adapted to match the World Bank ID convention, Added variable labels

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