zaf-statssa-nhts-2013-v1
National Household Travel Survey 2013
Name | Country code |
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South Africa | zaf |
Household Survey [hh]
Statistics South Africa. National Household Travel Survey 2013 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2014. Cape Town: DataFirst [distributor], 2014. DOI: https://doi.org/10.25828/zs4k-hb60
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.
Sample survey data
Households and individuals
v1: Edited, anonymised data for public distribution
2014
This version (Version 1) of the dataset was downloaded from Statistics South Africa's website on the 18th of July 2014.
Household: household characteristics, socio-economic circumstances of households.
Individual: demographic information (sex, age, race), domestic transport and tourism travel patterns, and attitudes concerning transport
The survey has national coverage.
The lowest level of geographic aggregation covered by the data is magisterial district.
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.
Name | Affiliation |
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Statistics South Africa | Government of South Africa |
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.
Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used:
• Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs);
• EAs with fewer than 25 DUs were excluded;
• EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same settlement type;
• 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
• Informal PSUs were segmented.
A 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.
Start | End |
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2013-02-18 | 2013-03-20 |
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.
Name | Affiliation | URL | |
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DataFirst | University of Cape Town | http://www.datafirst.uct.ac.za | support@data1st.org |
Public use files, available to all
Statistics South Africa. National Household Travel Survey 2013 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2014. Cape Town: DataFirst [distributor], 2014. DOI: https://doi.org/10.25828/zs4k-hb60
Copyright, Statistics South Africa
Name | Affiliation | URL | |
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DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org/ |
ddi-zaf-datafirst-nhts-2013-v1
Name | Affiliation | Role |
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DataFirst | University of Cape Town | Metadata Producer |
2020-06-18
Version 4