{"doc_desc":{"idno":"DDI_ZAF_2003_NHTS_v01_M","producers":[{"name":"DataFirst","affiliation":"University of Cape Town","role":"Metadata Producer"},{"name":"Development Data Group","abbr":"DECDG","affiliation":"World Bank Group","role":"Metadata adapted for World Bank Microdata Library"}],"prod_date":"2025-08-20","version_statement":{"version":"Identical to a metadata (zaf-statssa-nhts-2003-v1.1) published on DataFirst microdata repository (https:\/\/www.datafirst.uct.ac.za\/dataportal\/index.php\/catalog). Some of the metadata fields have been edited."}},"study_desc":{"title_statement":{"idno":"ZAF_2003_NHTS_v01_M","title":"National Household Travel Survey 2003","alternate_title":"NHTS 2003"},"authoring_entity":[{"name":"Statistics South Africa","affiliation":"Government of South Africa"}],"production_statement":{"copyright":"Copyright, Statistics South Africa"},"distribution_statement":{"contact":[{"name":"DataFirst Helpdesk","affiliation":"University of Cape Town","email":"support@data1st.org","uri":"http:\/\/support.data1st.org\/"}]},"series_statement":{"series_name":"Household Survey"},"version_statement":{"version":"Version 1.1: Edited, anonymised data for public distribution.","version_date":"2025","version_notes":"In the nhts-2003-worktrip-v1 data file, the following transport cost variables were recorded in cents:\n\ncodebook q613cost  (travel cost for first mode to work)\ncodebook q613co_a  (travel cost for second mode to work)\ncodebook q613co_b  (travel cost for third mode to work)\ncodebook q613co_c  (travel cost for fourth mode to work)\n\nIn the  nhts-2003-worktrip-v1.1, these variables were converted to rands, i.e, their figures were each divided by 100."},"study_info":{"abstract":"The National Household Travel Survey (NHTS) is the first round of the NHTS series which is designed to assess domestic transport and tourism travel patterns in the country. The NHTS collects data on general household characteristics, travel patterns of households, household transport and attitudes about transport.","coll_dates":[{"start":"2003-05-20","end":"2003-06-26"}],"nation":[{"name":"South Africa","abbreviation":"ZAF"}],"geog_coverage":"The survey has national coverage.","geog_unit":"The lowest level of geographic aggregation covered by the data is Magisterial District.","analysis_unit":"Households and individuals","universe":"The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks.","data_kind":"Sample survey data","notes":"Household: household characteristics,  socio-economic circumstances of households. \nIndividual: demographic information (sex, age, race), travel patterns, means of transport for work and other activities, and attitudes concerning transport"},"method":{"data_collection":{"sampling_procedure":"The National Department of Transport (NDOT) identified 342 national Transport Analysis (TA) zones in consultation with provincial transport departments. From these TA zones, a sample of 50 000 households had to be interviewed in order to collect information about travel patterns and habits. Stats SA overlaid the analysis zones with the Census 2001 Enumerator Areas (EAs) to facilitate the sampling.\n\nThe sample design is outlined in the steps which follow:\n\u2022 The 342 TA zones were overlaid with the Census 2001 Enumeration Areas. Each of the analysis zones will be treated as a reporting domain. Where possible, the zones were further stratified by geography type such as urban formal, urban informal, rural formal and tribal. Each zone was allocated a number of EA's proportional to its size using the enumerated \"dwelling unit count\" on the Stats SA books as a measure of size.\n\u2022 The number of EAs allocated to each TA zone was determined using the number of dwelling units in the EAs as a measure of size. The power allocation method was used to determine the number of primary sampling units (PSUs) to be allocated per zone.\n\u2022 Each PSU number consist of 12 digits, the first 8 representing the EA number and the last 4 the number of the PSU. Ten dwellings had to be enumerated in each of the 5000 PSUs to arrive at the required sample of 50 000 households. This worked out to an average of 13.3 EAs per zone, based on 10 dwelling units per EA, assuming an equal allocation of EAs to the zone.\n\u2022 Additional EAs were pooled where the selection criterion of a minimum number of 80 dwelling units per EA was not met, such as in farming areas in the Northern Cape. In this case, the extra EA was taken from the same township, suburb and area as the original EA.\n\u2022 Once the dwelling units in each PSU were verified and the dwelling unit total was established, a sample of 10 dwelling units was selected from each PSU. Systematic sampling of EAs was used in all cases and equal probability systematic sampling was used to select the dwelling units that were enumerated in each of the EAs that was drawn. This allows for approximate selfweighting of the selected planning units within each of the zones.\n\u2022 In each household, one person, aged 15 years or older was selected for an interview about their attitudes to transport services. Kish's grid for selection of individuals aged 15 years and older, was used to determine who would be required to complete the attitudinal section of the questionnaire.","coll_mode":["Face-to-face"]}},"data_access":{"dataset_use":{"contact":[{"name":"DataFirst","affiliation":"University of Cape Town","email":"datafirst-support@uct.ac.za","uri":"http:\/\/www.datafirst.uct.ac.za"}],"cit_req":"Statistics South Africa. National Household Travel Survey 2003 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2005. Cape Town: DataFirst [distributor], 2016. DOI: https:\/\/doi.org\/10.25828\/ep06-zx19","conditions":"Public access data for use under a Creative Commons CC-BY (Attribution-only) License"}}},"schematype":"survey"}