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Quality of Life Survey IV 2015-2016

South Africa, 2015 - 2016
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Reference ID
ZAF_2015_QOLS_v01_M
Producer(s)
Gauteng City-Region Observatory
Metadata
DDI/XML JSON
Study website
Created on
Sep 19, 2018
Last modified
Sep 19, 2018
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7404
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  • Study Description
  • Data Dictionary
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  • Identification
  • Version
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  • Coverage
  • Producers and sponsors
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
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  • Identification

    Survey ID number

    ZAF_2015_QOLS_v01_M

    Title

    Quality of Life Survey IV 2015-2016

    Country
    Name Country code
    South Africa ZAF
    Study type

    Other Household Survey [hh/oth]

    Abstract

    The Gauteng City-Region Observatory (GCRO) was established in 2008 as a partnership between the University of Johannesburg (UJ), the University of the Witwatersrand (Wits) and the Gauteng Provincial Government (GPG), with municipalities in Gauteng also represented. The objective of the GCRO is to inform policy in various spheres of the Gauteng government with data on the quality of the lives of people who live in Guateng. The Quality of Life Survey IV was conducted in 2015 and 2016.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Household and individual

    Version

    Version Description

    v1: Edited, anonymised dataset available for licensed distribution

    Version Date

    2016

    Scope

    Notes

    The Gauteng City-Region Observatory's Quality of Life Survey collects data on demographic details of the enumerated population (population group, gender, age, language) and on housing (dwelling type, tenure, satisfaction with dwelling, perceived quality of housing and housing allocation) as well as household services (water, sanitation, refuse, energy sources). Data was also collected on migration, health (including disability), education and employment (including employment sector). Data on community services and amenities was also collected, and on transport, leisure activities and safety and crime. Financial data was collected (including on debts, income, and social grants) and data on household assets. Data on public participation and governance was also collected during the survey. Finally, the survey collected data on the perceived personal wellbeing and quality of life of respondents.

    Topics
    Topic Vocabulary URI
    economic conditions and indicators [1.2] CESSDA http://www.nesstar.org/rdf/common
    income, property and investment/saving [1.5] CESSDA http://www.nesstar.org/rdf/common
    employment [3.1] CESSDA http://www.nesstar.org/rdf/common
    unemployment [3.5] CESSDA http://www.nesstar.org/rdf/common
    domestic political issues [4.2] CESSDA http://www.nesstar.org/rdf/common
    elections [4.3] CESSDA http://www.nesstar.org/rdf/common
    government, political systems and organisations [4.4] CESSDA http://www.nesstar.org/rdf/common
    crime [5.1] CESSDA http://www.nesstar.org/rdf/common
    basic skills education [6.1] CESSDA http://www.nesstar.org/rdf/common
    compulsory and pre-school education [6.2] CESSDA http://www.nesstar.org/rdf/common
    vocational education [6.7] CESSDA http://www.nesstar.org/rdf/common
    general health [8.4] CESSDA http://www.nesstar.org/rdf/common
    health care and medical treatment [8.5] CESSDA http://www.nesstar.org/rdf/common
    specific diseases and medical conditions [8.9] CESSDA http://www.nesstar.org/rdf/common
    housing [10.1] CESSDA http://www.nesstar.org/rdf/common
    TRANSPORT, TRAVEL AND MOBILITY [11] CESSDA http://www.nesstar.org/rdf/common
    family life and marriage [12.5] CESSDA http://www.nesstar.org/rdf/common
    community, urban and rural life [13.1] CESSDA http://www.nesstar.org/rdf/common
    cultural activities and participation [13.2] CESSDA http://www.nesstar.org/rdf/common
    social conditions and indicators [13.8] CESSDA http://www.nesstar.org/rdf/common
    migration [14.3] CESSDA http://www.nesstar.org/rdf/common
    specific social services: use and provision [15.3] CESSDA http://www.nesstar.org/rdf/common

    Coverage

    Geographic Coverage

    The Quality of Life Survey covers the whole of Gauteng and also areas with GCR 'footprints' in the four neighbouring provinces of Free State, North West, Limpopo and Mpumalanga. The lowest level of geographic aggregation of the data is municipality.

    Geographic Unit

    The lowest level of geographic aggregation in the Quality of Life Survey IV 2015-2016 is municipality

    Universe

    The Gauteng City-Region Observatory's Quality of Life Survey covers all household residents of Gauteng and selected areas of the four neighbouring provinces of Free State, North West, Limpopo and Mpumalanga.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Gauteng City-Region Observatory University of Johannesburg
    Funding Agency/Sponsor
    Name Role
    Gauteng Provincial Government Funder

    Survey instrument

    Questionnaires

    The survey instrument (questionnaire) which was used was provided by the GCRO. The instrument was similar to the questionnaire used for the initial Quality of Life survey, with new questions being added only where questions from the previous survey were removed. This was done with the intention of keeping the duration of the survey the same as the initial one. The survey instrument was a 20 page questionnaire, broken up into 12 sections. The bulk of the possible answers were pre-defined, such that most of the survey could be answered using a combination of tick-boxes or by writing down a number from a predefined set. There are therefore not many open-ended questions in the survey.

    Data collection

    Dates of Data Collection
    Start End
    2015-07-06 2016-05-17
    Data Collectors
    Name
    Data World

    Data Access

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

    Licenced data, available under conditions

    Citation requirements

    Gauteng City-Region Observatory.Quality of Life Survey IV, 2015-2016.[dataset]. Version 1. Johannesburg: Gauteng City-Region Observatory[producer], 2016. Cape Town: DataFirst [distributor], 2016.

    Disclaimer and copyrights

    Copyright

    Copyright 2012, Gauteng City-Region Observatory (GCRO)

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Helpdesk University of Cape Town support@data1st.org http://support.data1st.org/
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