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DOI: https://doi.org/10.25828/d2xh-m039"},"version_statement":{"version":"v1.3 Edited, anonymised dataset for public distribution","version_date":"2017","version_notes":"Version 1: \n\n\"Birth and child\" questions were asked in section 3 of the questionnaire. However, the original release of version 1 did not contain these questions. On request, Statistics SA provided DataFirst with these data files. They have been made available to the public for analysis. The Child data file has incomplete data for the variable q315aliv. \n\n\u201cBirth and child\u201d questions were no longer asked in the future GHS. Section 3 was replaced by \u201ctourism\u201d section in GHS 2003.\n\nVersion 1.1: \n\nVersion 1.1 included new weights for comparability across GHS 2002-2008. Version 1.1 was released at the same time as the GHS 2008 (6 May 2010). Person files were reweighted to reflect Community Survey 2007 results and update the estimates of the impact of HIV/Aids on demographic trends in South Africa. Household files were weighted independently of the person files in v1.1. The reweighting procedure was discussed in the report:  \"Reweighting of the GHS 2002-2008 data series\". \n\nAs part of the revision process, some observations were removed. The following variables were renamed wherever applicable: c_gender (to \u201cgender\u201d), d_age (to \u201cage\u201d), e_race (to \u201crace\u201d). The following mismatches were found between v1 and v1.1: \"status1 & \"status2\" in the worker file\n\nVersion 1.2: \n \nVersion 1.2 includes the new weights for comparability across GHS 2002-2011. Version 1.2 was released at the same time as the GHS 2012 (22 August 2013). Reweighting was necessary in order to maintain the comparability of population estimates used in the GHS based on figures provided by the 2013 mid-year population estimation model that incorporates the demographic findings of Census 2011. Household files were weighted independently of person files. \n\n\u201cgeotype\u201d \u201cmetro\u201d added to house and person file \n\n\u201chead_age\u201d added to house file\n\nThe following variable from the worker file contains a mismatch with v1.1: \"q26indus\"\n\nVersion 1.3:\n\nVersion 1.3 includes new weights for comparability across GHS 2002-2017. Version 1.3 was released at the same time as GHS 2017 (21 June 2018).  It was decided to replace the 2013 series Mid-year population estimates in the previous version with a the more recent 2017 series Mid Year Population Estimates as benchmarks for weighting the GHS data files. Household files were weighted independently of person files."},"study_info":{"abstract":"The GHS is an annual household survey specifically designed to measure the living circumstances of South African households. The GHS collects data on education, employment, health, housing and household access to services.","coll_dates":[{"start":"2002-07","end":"2002-08"}],"nation":[{"name":"South Africa","abbreviation":"zaf"}],"geog_coverage":"GHS 2002 is representative at national level and at provincial level.","geog_unit":"The lowest level of geographic aggregations is province.","analysis_unit":"Households and individuals","universe":"The survey cover all de jure household members (usual residents) of households in the nine provinces of South Africa and residents in workers' hostels. The survey does not cover collective living quarters such as students' hostels, old age homes, hospitals, prisons and military barracks.","data_kind":"Sample survey data","notes":"The scope of the General Household Survey 2002 includes:\nHousehold characteristics: Dwelling type, home ownership, access to water and sanitation facilities, access to services, transport, household assets, land ownership, agricultural production\nIndividuals' characteristics: demographic characteristics, relationship to household head, marital status, language, education, employment, income, health, disability, access to social services, mortality.\nWomen's characteristics: fertility"},"method":{"data_collection":{"data_collectors":[{"name":"Statistics South Africa","abbr":"SSA","affiliation":"Government of South Africa"}],"sampling_procedure":"The sample is multi-stage stratified using probability proportional to size principles. 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