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The following two metadata fields were edited - Document and Survey ID."}},"study_desc":{"title_statement":{"idno":"ZAF_2020_GHS_v01_M","title":"General Household Survey 2020","alt_title":"GHS 2020"},"authoring_entity":[{"name":"Statistics South Africa","affiliation":"Government of South Africa"}],"distribution_statement":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"support@data1st.org","uri":""}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]"},"version_statement":{"version":"Version 01: Edited, anonymised dataset for public distribution","version_date":"2020","version_notes":"Version 1 was originally downloaded from Stats SA in December 2021"},"study_info":{"abstract":"The GHS is an annual household survey which measures the living circumstances of South African households. The GHS collects data on education, health, and social development, housing, access to services and facilities, food security, and agriculture.","coll_dates":[{"start":"2020-09-01","end":"2020-12-01","cycle":""}],"nation":[{"name":"South Africa","abbreviation":"ZAF"}],"geog_coverage":"National coverage","geog_unit":"The lowest level of geographic aggregation for the data is Province (and metropolitan municipality, where this applies)","analysis_unit":"Households and individuals","universe":"The survey covers all de jure household members (usual residents) of households in the nine provinces of South Africa, and residents in workers' hostels. 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The 2013 Master Sample is based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the Master Sample, since they covered the entire country, and had other information that is crucial for stratification and creation of PSUs. There are 3324 primary sampling units (PSUs) in the Master Sample, with an expected sample of approximately 33000 dwelling units (DUs). The number of PSUs in the current Master Sample (3324) reflect an 8,0% increase in the size of the Master Sample compared to the previous (2008) Master Sample (which had 3080 PSUs). The larger Master Sample of PSUs was selected to improve the precision (smaller coefficients of variation, known as CVs) of the GHS estimates. The Master Sample is designed to be representative at provincial level and within provinces at metro\/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro.\n\nThe sample for the GHS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage. 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The sampling weights for the data collected from the sampled households were constructed so that the responses could be properly expanded to represent the entire civilian population of South Africa. The design weights, which are the inverse sampling rate (ISR) for the province, are assigned to each of the households in a province.\n\nMid-year population estimates produced by the Demographic Analysis Division were used for benchmarking. The final survey weights were constructed using regression estimation to calibrate to national level population estimates cross-classified by 5-year age groups, gender and race, and provincial population estimates by broad age groups. The 5-year age groups are: 0\u20134, 5\u20139, 10\u201314, 55\u201359, 60\u201364; and 65 and over. The provincial level age groups are 0\u201314, 15\u201334, 35\u201364; and 65 years and over. 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