2 datasets found
  1. National Household Travel Survey 2013 - South Africa

    • datafirst.uct.ac.za
    Updated Aug 21, 2025
    + more versions
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    Statistics South Africa (2025). National Household Travel Survey 2013 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/501
    Explore at:
    Dataset updated
    Aug 21, 2025
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2013
    Area covered
    South Africa
    Description

    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.

    Geographic coverage

    The survey has national coverage.

    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.

    Kind of data

    Sample survey data

    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.

    Mode of data collection

    Face-to-face

    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.

  2. National Household Travel Survey 2013 - South Africa

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Sep 22, 2014
    Share
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    Statistics South Africa (2014). National Household Travel Survey 2013 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/2071
    Explore at:
    Dataset updated
    Sep 22, 2014
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2013
    Area covered
    South Africa
    Description

    Abstract

    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.

    Geographic coverage

    The survey had national coverage

    Analysis unit

    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.

    Kind of data

    Sample survey data [ssd]

    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.

    Mode of data collection

    Face-to-face [f2f]

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Click to copy link
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Statistics South Africa (2025). National Household Travel Survey 2013 - South Africa [Dataset]. https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/501
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National Household Travel Survey 2013 - South Africa

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 21, 2025
Dataset authored and provided by
Statistics South Africahttp://www.statssa.gov.za/
Time period covered
2013
Area covered
South Africa
Description

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.

Geographic coverage

The survey has national coverage.

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.

Kind of data

Sample survey data

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.

Mode of data collection

Face-to-face

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.

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