{"type":"survey","doc_desc":{"title":"ZAF_1985_PHC_v01_M","idno":"DDI_ZAF_1985_PHC_v01_M","producers":[{"name":"DataFirst","abbreviation":"","affiliation":"University of Cape Town","role":"DDI Producer"}],"prod_date":"2011-08-22","version_statement":{"version":"Version 1.0"}},"study_desc":{"title_statement":{"idno":"ZAF_1985_PHC_v01_M","title":"Population Census 1985","alt_title":"PHC 1985"},"authoring_entity":[{"name":"Statistics South Africa","affiliation":""}],"production_statement":{"copyright":"Copyright 2000, Statistics South Africa"},"distribution_statement":{"contact":[{"name":"The manager, DataFirst","affiliation":"University of Cape Town","email":"support@data1st.org ","uri":"http:\/\/www.datafirst.uct.ac.za"}]},"series_statement":{"series_name":"Population and Housing Census [hh\/popcen]"},"version_statement":{"version":"V1.0 Edited, anonymised dataset for public distribution","version_date":"2011-04-21","version_notes":"Version 1.0 of the dataset from the South African Census 1985 was downloaded from Statistics South Africa's website on 1 July 2010.  \nIn this version (1.1) downloaded 3 March 2011, variable labels have been changed to lower case, and missing variable labels (for dwelling, age, industry, sex and district) have been added."},"study_info":{"topics":[{"topic":"employment [3.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"unemployment [3.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"LABOUR AND EMPLOYMENT [3]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"TRADE, INDUSTRY AND MARKETS [2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"DEMOGRAPHY AND POPULATION [14]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"censuses [14.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"fertility [14.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"coll_dates":[{"start":"1985-03-05","end":"","cycle":""}],"nation":[{"name":"South Africa","abbreviation":"ZAF"}],"geog_coverage":"The 1985 census covered the so-called white areas of South Africa, i.e. the areas in the former four provinces of the Cape, the Orange Free State, Transvaal, and Natal.  It also covered the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele.  The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda. \n\nThe 1985 Census dataset contains 9 data files.  These refer to Development Regions demarcated by the South African Government according to their socio-economic conditions and development needs. \nThese Development Regions are labeled A to J (there is no Region I, presumably because Statistics SA felt an \"I\" could be confused with the number 1).\nThe 9 data files in the 1985 Census dataset refer to the following areas:\n\nDEV REGION\tAREA COVERED\nA\t\tWestern Cape Province including Walvis Bay\nB\t\tNorthern Cape\nC\t\tOrange Free State and Qwaqwa\nD\t\tEastern Cape\/Border\nE\t\tNatal and Kwazulu\nF                              Eastern Transvaal, KaNgwane and part of the Simdlangentsha district of Kwazulu\nG                              Northern Transvaal, Lebowa and Gazankulu\nH                              PWV area, Moutse and KwaNdebele\nJ                              Western Transvaal","geog_unit":"The lowest level of geographic aggregation covered by the South African census 1985 is suburb. The suburb codes are supplied with the documentation.","analysis_unit":"The units of analysis under observation in the South African census 1985 are households and individuals","universe":"The South African census 1985 census covered the provinces of the Cape, the Orange Free State, Transvaal, and Nata and the so-called National States of KwaZulu, Kangwane, Gazankulu, Lebowa, Qwaqwa, and Kwandebele.  The 1985 South African census excluded the areas of the Transkei, Bophutatswana, Ciskei, and Venda.","data_kind":"Census\/enumeration data [cen]","notes":"The scope of the South African census 1985 includes the following characteristics:\nIndividuals: relationship within household, sex, age, marital status, population group, birthplace, country of citizenship, level of education, occupation, identity of employer and the nature of economic activity.\nHouseholds: dwelling type, type of area (rural\/urban)","study_scope":"The scope of the South African census 1985 includes the following characteristics:\nIndividuals: relationship within household, sex, age, marital status, population group, birthplace, country of citizenship, level of education, occupation, identity of employer and the nature of economic activity.\nHouseholds: dwelling type, type of area (rural\/urban)"},"method":{"data_collection":{"data_collectors":[{"name":"Statistics South Africa","abbreviation":"SSA","affiliation":""}],"sampling_procedure":"Although the census was meant to cover all residents of the so called white areas of South Africa, in 88 areas door-to-door surveys were not possible and the population in these areas was enumerated by means of a sample survey conducted by the Human Sciences Research Council.","coll_mode":"Face-to-face [f2f]","research_instrument":"The1985  population census questionnaire was administered to each household and collected information on household and area type, and information on household members, including relationship within household, sex, age, marital status, population group, birthplace, country of citizenship, level of education, occupation, identity of employer and the nature of economic activities"},"analysis_info":{"data_appraisal":"UNDER-ENUMERATION:\nThe following under-enumeration figures have been calculated for the 1985 census. \nEstimated percentage distribution of undercount by race according to the HSRC:\n\t\t\t\tPercent undercount\t\n    Whites\t\t\t7.6%\t\n    Blacks in the \u201cRSA\u201d\t\t20.4%\n    Blacks in the \u201cNational States\u201d\t15.1%\n    Coloureds\t\t\t1.0%\n    Asians\t\t\t4.6%"}},"data_access":{"dataset_use":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"info@data1st.org","uri":"http:\/\/www.datafirst.uct.ac.za"}],"cit_req":"Statistics South Africa (StatSA). South African Census 1985. South Africa. Version 1.0 of the licensed dataset (2000). Distributed by DataFirst.","conditions":"Licensed dataset, accessible under conditions.","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."}}},"data_files":[{"file_id":"F1","file_name":"SA Census 1985 Area_a_v1","description":"The South African Census 1985 Area a file contains data for the Western Cape Province, including Walvis Bay.","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F2","file_name":"SA Census 1985 Area_b_v1","description":"The SA Census 1985 Area b data files contains data on Development Region B (Northern Cape)","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F3","file_name":"SA Census 1985 Area_c_v1","description":"The SA Census 1985 Area c data file contains data for the Orange Free State and Qwaqwa.","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F4","file_name":"SA Census 1985 Area_d_v1","description":"The SA Census 1985 Area d data file contains data for the Eastern Cape\/Border areas of South Africa.","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F5","file_name":"SA Census 1985 Area_e_v1","description":"The SA Census 1985 Area e data file contains data for the former province of Natal and for Kwazulu","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F6","file_name":"SA Census 1985 Area_f_v1","description":"The SA Census 1985 Area f data file contains data for the Eastern Transvaal, KaNgwane and part of the Simdlangentsha district of Kwazulu","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F7","file_name":"SA Census 1985 Area_g_v1","description":"The SA Census 1985 Area g data file contains data for the former province of Northern Transvaal, and for Lebowa and Gazankulu","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F8","file_name":"SA Census 1985 Area_h_v1","description":"The SA Census 1985 Area h data file contains data for the PWV area, Moutse and KwaNdebele","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null},{"file_id":"F9","file_name":"SA Census 1985 Area_j_v1","description":"The SA Census 1985 Area j data file contains data for the Western Transvaal","case_count":"0","var_count":"18","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null}],"variables":[{"vid":"V1","name":"sweepnum","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"2","var_rec_seg_no":"1","labl":"Sweep number","var_val_range":[{"units":"REAL","min":"0","max":"90"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V2","name":"returnum","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"4","var_rec_seg_no":"1","labl":"Return number","var_val_range":[{"units":"REAL","min":"0","max":"8146"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V3","name":"dwelling","file_id":"F1","var_dcml":"0","var_intrvl":"discrete","var_width":"38","var_rec_seg_no":"1","labl":"Dwelling type","var_respunit":"The enumerator completed information on the dwelling type","var_val_range":[{"units":"REAL","min":"1","max":"9"}],"var_sumstat":[{"value":"0","type":"vald"},{"value":"0","type":"invd"}],"var_txt":"Type of dwelling","var_catgry":[{"value":"1","labl":"House","stats":null,"type":null},{"value":"2","labl":"Semi-detached house","stats":null,"type":null},{"value":"3","labl":"Flat","stats":null,"type":null},{"value":"4","labl":"Flat on same erf as house","stats":null,"type":null},{"value":"5","labl":"Hut (traditional dwelling for blacks)","stats":null,"type":null},{"value":"6","labl":"Hotel\/Boarding house","stats":null,"type":null},{"value":"7","labl":"Old age home","stats":null,"type":null},{"value":"8","labl":"Hostel\/Compound","stats":null,"type":null},{"value":"9","labl":"Other","stats":null,"type":null}],"var_format":"numeric","var_format_schema":"other","fid":"F1"},{"vid":"V4","name":"age","file_id":"F1","var_dcml":"0","var_intrvl":"contin","var_width":"2","var_rec_seg_no":"1","labl":"Age","var_respunit":"Questionnaire","var_qstn_qstnlit":"4.4  AGE - 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