{"doc_desc":{"title":"Mortality and Causes of Death from Death Notification 1997-2005","idno":"ddi-zaf-datafirst-nhts-2013-v1","producers":[{"name":"DataFirst","affiliation":"University of Cape Town","role":"Metadata Producer"}],"prod_date":"2025-08-21","version_statement":{"version":"Version 5"}},"study_desc":{"title_statement":{"idno":"zaf-statssa-nhts-2013-v1.1","title":"National Household Travel Survey 2013","alternate_title":"NHTS 2013"},"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":"datafirst-support@uct.ac.za","uri":"http:\/\/support.data1st.org\/"}]},"series_statement":{"series_name":"Household Survey","series_info":"Statistics South Africa. National Household Travel Survey 2013 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2014. Cape Town: DataFirst [distributor], 2014. DOI: https:\/\/doi.org\/10.25828\/zs4k-hb60"},"version_statement":{"version":"v1.1: Edited, anonymised data for public distribution","version_date":"2025","version_notes":"In the 2013 NHTS, the variable Oldmsal is a derived variable that is standardized to the monthly income per person. The variable Q46SAL was intended to be the income variable, with reported figures refering to weekly, monthly or annual payment frequencies. In the nhts-2013-person-v1-20140718 data file, the figures of Q46SAL were replaced with those from Oldmsal. Thus, Q46SAL and Oldmsal both reported monthly income per person.\n\nIn nhts-2013-person-v1.1 the necessary corrections were made to the Q46SAL variable, i.e, weekly figures were divided by 4 and annual figures were multiplied by 12."},"study_info":{"keywords":[{"keyword":"Travel"},{"keyword":"Transport"}],"abstract":"The National Household Travel Survey (NHTS) 2013 is the second round of the NHTS series designed to assess domestic transport and tourism travel patterns in the country, as well as attitudes about transport.","coll_dates":[{"start":"2013-02-18","end":"2013-03-20"}],"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), domestic transport and tourism travel patterns, and attitudes concerning transport"},"method":{"data_collection":{"sampling_procedure":"The sample design for the NHTS 2013 was based on a master sample (MS) that used a two-stage, stratified design with probability-proportional-to-size (PPS) sampling of PSUs from within strata, and systematic sampling of dwelling units (DUs) from the sampled primary sampling units (PSUs). A self-weighting design at provincial level was used and MS stratification was divided into two levels, primary and secondary stratification. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarised at PSU level. The following variables were used for secondary stratification; household size, education, occupancy status, gender, industry and income.\n\nCensus enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used:\n\u2022 Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs);\n\u2022 EAs with fewer than 25 DUs were excluded;\n\u2022 EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type;\n\u2022 Virtual splits were applied to large PSUs: 500 to 999 split into two; 1 000 to 1 499 split into three; and 1 500 plus split into four PSUs; and \n\u2022 Informal PSUs were segmented.\n\nA Randomised Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3 080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.","coll_mode":["Face-to-face"],"sources":[[]]},"analysis_info":{"data_appraisal":"The original report (called a Release) provided by Statistics SA had incorrect information on response rates. This document has been replaced by a version amended by Statistics SA to reflect the correct response rates for the survey."}},"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 2013 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2014. Cape Town: DataFirst [distributor], 2014. DOI: https:\/\/doi.org\/10.25828\/zs4k-hb60","conditions":"Public access data for use under a Creative Commons CC-BY (Attribution-only) License"}}},"schematype":"survey"}