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    Home / Data Portal / STATSSA / ZAF-STATSSA-NHTS-2003-V1
StatsSA

National Household Travel Survey 2003

South Africa, 2003
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Reference ID
zaf-statssa-nhts-2003-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
May 10, 2016
Last modified
Jun 18, 2020
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51847
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  • Study Description
  • Data Description
  • Downloads
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  • Related Publications
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Access
  • Disclaimer and copyrights
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    zaf-statssa-nhts-2003-v1

    Title

    National Household Travel Survey 2003

    Country
    Name Country code
    South Africa zaf
    Study type

    Household Survey [hh]

    Series Information

    Statistics South Africa. National Household Travel Survey 2003 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2005. Cape Town: DataFirst [distributor], 2016. DOI: https://doi.org/10.25828/ep06-zx19

    Abstract

    The National Household Travel Survey (NHTS) is the first round of the NHTS series which is designed to assess domestic transport and tourism travel patterns in the country. The NHTS collects data on general household characteristics, travel patterns of households, household transport and attitudes about transport.

    Kind of Data

    Sample survey data

    Unit of Analysis

    Households and individuals

    Version

    Version Description

    v1: Edited, anonymised data for public distribution

    Version Date

    2005

    Scope

    Notes

    Household: household characteristics, socio-economic circumstances of households.
    Individual: demographic information (sex, age, race), travel patterns, means of transport for work and other activities, and attitudes concerning transport

    Keywords
    travel transport

    Coverage

    Geographic Coverage

    The survey has national coverage.

    Geographic Unit

    The lowest level of geographic aggregation covered by the data is magisterial district.

    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 National Department of Transport (NDOT) identified 342 national Transport Analysis (TA) zones in consultation with provincial transport departments. From these TA zones, a sample of 50 000 households had to be interviewed in order to collect information about travel patterns and habits. Stats SA overlaid the analysis zones with the Census 2001 Enumerator Areas (EAs) to facilitate the sampling.

    The sample design is outlined in the steps which follow:
    • The 342 TA zones were overlaid with the Census 2001 Enumeration Areas. Each of the analysis zones will be treated as a reporting domain. Where possible, the zones were further stratified by geography type such as urban formal, urban informal, rural formal and tribal. Each zone was allocated a number of EA's proportional to its size using the enumerated "dwelling unit count" on the Stats SA books as a measure of size.
    • The number of EAs allocated to each TA zone was determined using the number of dwelling units in the EAs as a measure of size. The power allocation method was used to determine the number of primary sampling units (PSUs) to be allocated per zone.
    • Each PSU number consist of 12 digits, the first 8 representing the EA number and the last 4 the number of the PSU. Ten dwellings had to be enumerated in each of the 5 000 PSUs to arrive at the required sample of 50 000 households. This worked out to an average of 13.3 EAs per zone, based on 10 dwelling units per EA, assuming an equal allocation of EAs to the zone.
    • Additional EAs were pooled where the selection criterion of a minimum number of 80 dwelling units per EA was not met, such as in farming areas in the Northern Cape. In this case, the extra EA was taken from the same township, suburb and area as the original EA.
    • Once the dwelling units in each PSU were verified and the dwelling unit total was established, a sample of 10 dwelling units was selected from each PSU. Systematic sampling of EAs was used in all cases and equal probability systematic sampling was used to select the dwelling units that were enumerated in each of the EAs that was drawn. This allows for approximate selfweighting of the selected planning units within each of the zones.
    • In each household, one person, aged 15 years or older was selected for an interview about their attitudes to transport services. Kish's grid for selection of individuals aged 15 years and older, was used to determine who would be required to complete the attitudinal section of the questionnaire.

    Data Collection

    Dates of Data Collection
    Start End
    2003-05-20 2003-06-26

    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 use files, available to all

    Citation requirements

    Statistics South Africa. National Household Travel Survey 2003 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2005. Cape Town: DataFirst [distributor], 2016. DOI: https://doi.org/10.25828/ep06-zx19

    Disclaimer and copyrights

    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-datafirst-nhts-2013-v1

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata Producer
    Date of Metadata Production

    2020-06-18

    Metadata version

    DDI Document version

    Version 5

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