Login
Login

  • DataFirst Home
  • Open Data Portal
  • Collections
  • Citations
  • Contact us
    Home / Data Portal / STATSSA / ZAF-STATSSA-DTS-2022-V1
StatsSA

Domestic Tourism Survey 2022

South Africa, 2022 - 2023
Get Microdata
Reference ID
zaf-statssa-dts-2022-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
Documentation in PDF DDI/XML JSON
Created on
Nov 26, 2024
Last modified
Nov 26, 2024
Page views
16225
Downloads
106
  • Study Description
  • Data Description
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Data Access
  • Metadata production
  • Identification

    Survey ID number

    zaf-statssa-dts-2022-v1

    Title

    Domestic Tourism Survey 2022

    Country
    Name Country code
    South Africa zaf
    Study type

    Household Survey

    Abstract

    The DTS is a large-scale household survey aimed at collecting accurate statistics on the travel behaviour and expenditure of South African residents travelling within the borders of the country. Such information is crucial when determining the contribution of tourism to the South African economy, as well as helping with planning, marketing, policy formulation, and the regulation of tourism-related activities.

    Kind of Data

    Sample survey data

    Unit of Analysis

    Households and individuals

    Version

    Version Description

    v1: Edited, anonymised dataset for public distribution

    Version Date

    2024

    Version Notes

    Version 1 was downloaded from Stats SA in November 2024.

    Scope

    Notes

    The following information was collected: Domestic day and overnight trips undertaken; trips undertaken by respondents and trips by other household members without the respondent accompanying them; the profile of the most recent day/overnight domestic trips undertaken both by the respondent and other household members (detailing information on destination, trip length, purpose of visit, accommodation, transport, activities, trip expenditure, etc.) and socio-demographic information.

    Coverage

    Geographic Coverage

    The survey had national coverage

    Geographic Unit

    The lowest level of geographic aggregation covered by the data is 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, oldage homes, hospitals, prisons and military barracks, and is therefore only representative of non-institutionalised and non-military persons or households in South Africa.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Statistics South Africa Government of South Africa

    Sampling

    Sampling Procedure

    The sample design for the DTS 2022 was based on a Master Sample (MS) that has been designed for all household surveys conducted by Statistics South Africa.

    The Master Sample used a two-staged, 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. Stratification was done in two stages: Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2011 data were summarised at PSU level. The following variables were used for secondary stratification: household size, education, occupancy status, gender, industry and income.

    Weighting

    Sampling weights are constructed for the 12 reference months. These included both full sample and replicate weights for each of the 12 reference months. The full sample and replicate weights are calibrated using the population control totals for the cells defined by the cross-classification Age-Group x Population-Group x Gender at the national level, and broad Age Groups at the province level.

    Data Collection

    Dates of Data Collection
    Start End
    2022-01-01 2023-03-01
    Mode of data collection
    • Computer Assisted Telephone Interview

    Data Access

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

    Public access data for use under a Creative Commons CC-BY (Attribution-only) License

    Citation requirements

    Statistics South Africa. Domestic Tourism Survey 2022 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2024. Cape Town: DataFirst [distributor], 2024. DOI: https://doi.org/10.25828/s6n4-5534

    Metadata production

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

    2024-11-26

    Metadata version

    DDI Document version

    Version 1

    Back to Catalog
    DataFirst

    © DataFirst, All Rights Reserved.