Domestic Tourism Survey 2019
South Africa, 2019
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Reference ID
zaf-statssa-dts-2019-v1
Producer(s)
Statistics South Africa
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Created on
Jan 23, 2022
Last modified
Jan 23, 2022
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Identification
Survey ID Number
zaf-statssa-dts-2019-v1
Title
Domestic Tourism Survey 2019
Country
| Name | Country code |
|---|---|
| South Africa | zaf |
Study type
Household Survey [hh]
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
2020
Version Notes
Version 1 was downloaded from Stats SA in January 2022.
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 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 summarised at PSU level. The following variables were used for secondary stratification: household size, education, occupancy status, gender, industry and income.
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 |
|---|---|
| 2019 | 2019 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Questionnaires
Questionnaires
The questionnaire is split across two documents:
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.
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.
Access policy
Access conditions
Public access data, available to all
Citation requirements
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
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | Link |
Metadata production
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Date of Metadata Production
2022-01-23
DDI Document version
Version 1