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National Household Travel Survey 2020

South Africa, 2020
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Reference ID
ZAF_2020_NHTS_v01_M
Producer(s)
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Study website
Created on
Jul 20, 2022
Last modified
Jul 20, 2022
Page views
14864
Downloads
317
  • Study Description
  • Data Dictionary
  • Downloads
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Survey instrument
  • Data collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    ZAF_2020_NHTS_v01_M

    Title

    National Household Travel Survey 2020

    Country
    Name Country code
    South Africa ZAF
    Study type

    Other Household Survey [hh/oth]

    Abstract

    The National Household Travel Survey (NHTS) 2020 is the third round of the survey series designed to assess domestic transport and tourism travel patterns of South African households as well as their attitudes about transport. The NHTS collects data on general household characteristics, travel patterns of households, and attitudes about transport.

    Kind of Data

    Sample survey data [ssd]

    Unit of Analysis

    Households and individuals

    Version

    Version Description

    Version 01: Edited, anonymized dataset for public distribution.

    Version Date

    2021

    Scope

    Notes

    Household: household characteristics, socio-economic circumstances of households.
    Individual: demographic information (sex, age, race), domestic transport and tourism travel patterns, and attitudes concerning transport

    Coverage

    Geographic Coverage

    National coverage

    Geographic Unit

    The lowest level of geographic aggregation covered by the data is District Municipality.

    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

    Primary investigators
    Name Affiliation
    Statistics South Africa Government of South Africa

    Sampling

    Sampling Procedure

    The sample design for the NHTS 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 summarized 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 splits into two; 1000 to 1499 splits into three; and 1500 plus split into four PSUs; and
    • Informal PSUs were segmented.

    A Randomized 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 3080 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.

    Survey instrument

    Questionnaires

    The survey questionnaire consisted of 9 sections:
    Section 1: General health and functioning, social grants and social relief
    Section 2: General travel patterns
    Section 3: Education and education-related travel patterns
    Section 4: Work-related travel patterns (age 15 years and above)
    Section 5: Business trips
    Section 6: Other travel patterns
    Section 7: General household information
    Section 8: Household attitudes and perceptions about transport
    Section 9: Survey officer questions

    Data collection

    Dates of Data Collection
    Start End
    2020-01-27 2020-03-20
    Mode of data collection
    • Face-to-face [f2f]
    Data Collectors
    Name
    Survey Solutions

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town http://www.datafirst.uct.ac.za support@data1st.org
    Access conditions

    Public access data, available to all

    Citation requirements

    Statistics South Africa. National Household Travel Survey 2020 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2021. Cape Town: DataFirst [distributor], 2021. DOI: https://doi.org/10.25828/NRVJ-1663

    Disclaimer and copyrights

    Disclaimer

    The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.

    Copyright

    Copyright, Statistics South Africa

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Helpdesk University of Cape Town support@data1st.org http://support.data1st.org/

    Metadata production

    DDI Document ID

    DDI_ZAF_2020_NHTS_v01_M

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata Producer
    Development Economics Data Group The World Bank Metadata adapted for Microdata Library
    Date of Metadata Production

    2021-11-24

    Metadata version

    DDI Document version

    Version 01: This metadata was downloaded from the DataFirst website (https://www.datafirst.uct.ac.za/dataportal/index.php/catalog/central). The following two metadata fields were edited - Document and Survey ID.

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