National Household Travel Survey 2013
South Africa, 2013
Statistics South Africa
Last modified
September 22, 2014
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Metadata
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Identification
IDNO
ZAF_2013_NHTS_v01_M
Title
National Household Travel Survey 2013
Countries
| Name | Code |
|---|---|
| South Africa | ZAF |
Study notes
The National Household Travel Survey (NHTS) 2013 is the second round of the NHTS series designed to assess travel patterns and transport problems in the country. The NHTS collects data on general household characteristics, travel patterns of households, and attitudes about transport.
Kind of data
Sample survey data [ssd]
Version
Version
v1: Edited, anonymised data for licensed distribution
Version date
2014
Scope
Topics
| Topic | Vocab |
|---|---|
| Transport | World Bank |
Keywords
| metadata.study_desc.study_info.keywords.keyword |
|---|
| Travel |
| Transport |
Coverage
Geographic coverage
The survey had national coverage
Geographic unit
Geographic breakdown of the data is by province and magisterial district, as well as urban, non-urban area.
Unit of analysis
Units of analysis in the survey were individuals and households
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.
Producers and sponsors
Authoring entity
| Name |
|---|
| Statistics South Africa |
Sampling
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.
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.
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.
Data Collection
Dates of collection
| Start | End |
|---|---|
| 2013-02-18 | 2013-03-20 |
Mode of data collection
Face-to-face [f2f]
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | http://www.datafirst.uct.ac.za |
Access conditions
Licensed dataset, accessible under conditions
Citation requirements
Statistics South Africa. National Household Travel Survey 2013 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2014. Cape Town: DataFirst [distributor], 2014.
Disclaimer and copyrights
Copyrights
Copyright, Statistics South Africa
Contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org/ |
Metadata production
IDNo
DDI_ZAF_2013_NHTS_v01_M
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata Producer |
Production date
2014-08-27
Version
Version 1.1 (Adaptation of version 1.0 from DataFirst: ddi-zaf-datafirst-nhts-2013-v1. Study IDs edited)