Domestic Tourism Survey 2023
South Africa
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zaf-statssa-dts-2023-v1.1
Domestic Tourism Survey 2023
DTS 2023
| Name | Country code |
|---|---|
| South Africa | zaf |
Domestic Tourism Survey
The study has been conducted every year since 2008.
| Type | Identifier |
|---|---|
| DOI | https://doi.org/10.25828/q60n-r824 |
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.
Sample survey data [ssd]
Households and individuals
Version
Version 1.1
2026
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
The survey had national coverage.
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.
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
| Name | Affiliation |
|---|---|
| Statistics South Africa | Government of South Africa |
Study authorization
1999
| Agency name | Affiliation | Abbreviation |
|---|---|---|
| Statistics South Africa | Government of South Africa | StatsSA |
Statistics SA is authorised to collect data by the Statistics Act 1999
Sampling
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.
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
| Start | End |
|---|---|
| January 2023 | December 2023 |
Cross-section [cross section]
Depositor information
| Name | Abbreviation | Affiliation | URL |
|---|---|---|---|
| Statistics South Africa | StatsSA | Government of South Africa | https://www.statssa.gov.za/ |
Distributor information
| Organization name | Affiliation | URL |
|---|---|---|
| DataFirst | University of Cape Town | http://support.data1st.org/ |
2026
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | http://support.data1st.org/ | support@data1st.org |
Use is under a Creative Commons BY attribution only license
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
The data re-user agrees to send DataFirst a link to research publications that are based on the data.
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Helpdesk | University of Cape Town | support@data1st.org | http:/support.data1st.org |
Metadata production
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
2026-02-20
Metadata version
v1: Edited, anonymised dataset for public access
2026-03-04