• Data Repository
  • Collections
  • Citations
  • Metadata Dashboard
  • Contact us
  • Login
    Login
    Home / Data Repository / SATSD / ZAF-STATSSA-DTS-2023-V1.1
SATSD

Domestic Tourism Survey 2023

South Africa, 2023
Get Microdata
Reference ID
zaf-statssa-dts-2023-v1.1
DOI
https://doi.org/10.25828/q60n-r824
Producer(s)
Statistics South Africa
Collections
South African Tourism Survey Data
Metadata
Documentation in PDF DDI/XML JSON
Created on
Mar 04, 2026
Last modified
May 18, 2026
Page views
65527
Downloads
311
  • Dataset Description
  • Data Description
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Study authorization
  • Sampling
  • Data collection
  • Depositor information
  • Distributor information
  • access_policy
  • Contacts
  • Metadata production
  • Citation
  • Identification

    Survey ID number
    zaf-statssa-dts-2023-v1.1
    Title
    Domestic Tourism Survey 2023
    Abbreviation or Acronym
    DTS 2023
    Country
    Name Country code
    South Africa zaf
    Study type
    Domestic Tourism Survey
    Series Information
    The study has been conducted every year since 2008.
    Other identifiers
    Type Identifier
    doi https://doi.org/10.25828/q60n-r824
    Abstract
    The Domestic Tourism Survey (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 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 regulation of tourism-related activities.
    Kind of Data
    Sample survey data [ssd]
    Unit of Analysis
    Households and individuals

    Version

    Version Description
    Version 1.1
    Version Date
    2026
    Version Notes
    Version 1 was downloaded by DataFirst from the Statistics South Africa website on 10th January 2026. Version 1.1 has had variable and value labels added by DataFirst

    Coverage

    Geographic Coverage
    The survey had national coverage.
    Geographic Coverage notes
    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, and is therefore only representative of non-institutionalised and non-military persons or households in South Africa.
    Universe
    The target population is 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

    Study authorization

    Authorization Date
    1999
    Agency
    Agency name Affiliation Abbreviation
    Statistics South Africa Government of South Africa StatsSA
    Authorization Statement
    Statistics SA is authorised to collect data by the Statistics Act 1999

    Sampling

    Sampling Procedure
    The sample design for the DTS 2023 was based on a Master Sample (MS) that was originally designed for the Quality Labour Force Survey (QLFS). This Master Sample is shared by the QLFS, General Household Survey (GHS), Living Conditions Survey (LCS), Domestic Tourism Survey (DTS), Income and Expenditure Survey (IES), and Victims of Crime Survey (VOCS).

    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 2001 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 were 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 were 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. These are the same population control totals that are used for constructing the calibrated weights for the Quarterly Labour Force Survey and the other household surveys.

    Data collection

    Dates of Data Collection
    Start End
    2023 2023
    Time Method
    Cross-section [cross section]
    Data Collection Mode
    • Face-to-face computer-assisted interviews [CAPI]

    Depositor information

    Depositor
    Name Abbreviation Affiliation URL
    Statistics South Africa StatsSA Government of South Africa

    Distributor information

    Distributor
    Organization name Affiliation URL
    DataFirst University of Cape Town
    Date of Distribution
    2026

    access_policy

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town support@data1st.org
    Access conditions
    Use is under a Creative Commons BY attribution only license
    Citation requirements
    Statistics South Africa. Domestic Tourism Survey 2023 [dataset]. Version 1.1. Pretoria: Statistics South Africa [producer], 2025. Cape Town: DataFirst [distributor], 2026. DOI: https://doi.org/10.25828/q60n-r824
    Deposit requirements
    The data re-user agrees to send DataFirst a link to research publications that are based on the data.

    Contacts

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

    Metadata production

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata producer
    Date of Metadata Production
    2026-02-20

    Metadata version

    DDI Document version
    v1: Edited, anonymised dataset for public access
    Version date
    2026-03-04

    Citation

    Citation
    loading, please wait...
    Citation format
    Export citation: RIS | BibTeX | Plain text
    Back to Catalog
    DataFirst

    © DataFirst, All Rights Reserved.