The DTS is a large-scale household survey aimed at collecting accurate statistics on the travel behavior 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 [ssd]
Unit of Analysis
Households and individuals
Version 01: Edited, anonymised dataset for public distribution.
Version 1 was downloaded from Stats SA in January 2022.
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.
The lowest level of geographic aggregation covered by the data is municipality.
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-institutionalized and non-military persons or households in South Africa.
Producers and sponsors
Statistics South Africa
Government of South Africa
The sample design for the DTS 2018 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 summarized at PSU level. The following variables were used for secondary stratification: household size, education, occupancy status, gender, industry, and income.
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.
Dates of Data Collection
Data Collection Mode
Computer Assisted Personal Interview [capi]
Two questionnaires were administered to collect the survey data:
1. Cover page: includes household information, response details, result codes, field staff information and demographic information (name, sex, age, population group and marital status).
2. Questionnaire: includes education, tourism employment, domestic day trips, domestic night trips and household living conditions.
University of Cape Town
Public access data, available to all
Statistics South Africa. Domestic Tourism Survey 2018 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2019. Cape Town: DataFirst [distributor], 2022. DOI: https://doi.org/10.25828/6e2a-qv58
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.
DDI Document ID
University of Cape Town
Development Economics Data Group
The World Bank
Metadata adapted for Microdata Library
Date of Metadata Production
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.