{"doc_desc":{"title":"General Household Survey 2006","producers":[{"name":"DataFirst","abbr":"","affiliation":"University of Cape Town","role":"Metadata Producer"}],"prod_date":"2020-10-10","version_statement":{"version":"Version 3"}},"study_desc":{"title_statement":{"idno":"zaf-statssa-ghs-2006-v1.4","title":"General Household Survey 2006","alternate_title":"GHS 2006"},"authoring_entity":[{"name":"Statistics South Africa","affiliation":""}],"distribution_statement":{"contact":[{"name":"Manager, DataFirst","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http://support.data1st.org/"}]},"series_statement":{"series_name":"Household Survey [hh]","series_info":"Statistics South Africa. General Household Survey 2006 [dataset]. Version 1.4. Pretoria. Statistics South Africa [producer]. 2017. Cape Town. DataFirst [distributor], 2020. DOI: https://doi.org/10.25828/xjc1-fg13"},"version_statement":{"version":"v1.4 Edited, anonymised dataset for public distribution","version_date":"2017","version_notes":"Version 1: \n\nVersion 1 of GHS uses old weights that are no longer available for download on Statistics South Africa's website. \n\nVersion 1.2: \n\nVersion 1.2 includes new weights for comparability across GHS 2002-2008 released at the same time as GHS 2008 (in 2009). 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 v1.2. The reweighting procedure was discussed in the report: \"Reweighting of the GHS 2002-2008 data series\". \n\nAs part of the reweighting, if individuals or household heads have missing values for age, sex or population group, these missing values were imputed. Where imputation could not be managed, these records were discarded. These demographic variables were also renamed. \n\nv1.2 uses the new provincial boundaries for the province variable, as revised by the SA government in 2005. Mismatch in province variable between v1 and v1.2 is to be expected. \n\nThere is quality issue with the variable \"uqnr\" in GHS 2006 v1 files. This was fixed in v1.2. \n\nVersion 1.3: \n\nVersion 1.3 includes new weights for comparability across GHS 2002-2011 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\nThere is quality issue with the variable \"psu\" in both v1 and v1.2 files for GHS 2006. This was fixed in v1.3. \n\nIn the ghs 2006 tourism file v1.3, the values for the variable \"q3125nrn\" is labelled differently from tourism file of version 1.2. \n\nThere is quality issue with the weight variable in the person file of version 1.3. The person file that was originally given to DataFirst did not match on weight with the later revised person file of the same version. \n\nVersion 1.4: \n\nVersion 1.4 includes new weights for comparability across GHS 2002-2017 released at the same time as GHS 2017 (21 June 2018). It was decided to replace the 2013 series mid-year population estimation in the previous version with a the more recent 2017 series mid-year population estimation as benchmarks for weighting the GHS data files. Household files were weighted independently of person files.\n\nAs mentioned in the previous entry of version notes, in the ghs-2006-tourism-v1.3, the values for the variable \"q3125nrn\" is labelled differently from its previous version v1.2. This was fixed in v1.4 tourism file. As a result, \"q3125nrn\" variable in tourism file v1.2 is identical to that in tourism file v1.4, but both of them are different from that in v1.3."},"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":"2006-07","end":"2006-07","cycle":""}],"nation":[{"name":"South Africa","abbreviation":"zaf"}],"geog_coverage":"The survey 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 covered 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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