Domestic Tourism Survey 2019
South Africa, 2019
Get MicrodataIdentification
ZAF_2019_DTS_v01_M
Domestic Tourism Survey 2019
| Name | Country code |
|---|---|
| South Africa | ZAF |
Other Household Survey [hh/oth]
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.
Sample survey data [ssd]
Households and individuals
Version
Version 01: Edited, anonymised dataset for public distribution
2020
Version 1 was downloaded from Stats SA in January 2022.
Scope
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
National coverage
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
| Name | Affiliation |
|---|---|
| Statistics South Africa | Government of South Africa |
Sampling
The sample design for the DTS 2019 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.
Survey instrument
Two questionnaires were administered to collect the survey data:
- Cover page: includes household information, response details, result codes, field staff information and demographic information (name, sex, age, population group and marital status).
- Questionnaire: includes education, tourism employment, domestic day trips, domestic night trips and household living conditions.
Data collection
| Start | End |
|---|---|
| 2019 | 2019 |
- Computer Assisted Personal Interview [capi]
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | http://support.data1st.org | support@data1st.org |
Public access data, available to all
Statistics South Africa. Domestic Tourism Survey 2019 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2020. Cape Town: DataFirst [distributor], 2022. DOI: https://doi.org/10.25828/kgdy-vk04
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org |
Metadata production
DDI_ZAF_2019_DTS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
| Development Economics Data Group | The World Bank | Metadata adapted for Microdata Library |
2022-01-23
Metadata 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.