Domestic Tourism Survey 2017
South Africa, 2017
Get MicrodataIdentification
ZAF_2017_DTS_v01_M
Domestic Tourism Survey 2017
| Name | Country code |
|---|---|
| South Africa | ZAF |
Other Household Survey [hh/oth]
Statistics South Africa. Domestic Tourism Survey 2017 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2020. DOI: https://doi.org/10.25828/aqs9-0q52
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.
Sample survey data [ssd]
Households and individuals
Version
v1: anonymised for public distribution
2018-09-13
Version 1 of the Domestic Tourism Survey 2017 was downloaded from Stats SA in Oct 2019
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; 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-demographics.
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 and residents in workers' hostels in the nine provinces of South Africa. 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 |
Sampling
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
The overall response rate of the survey is 90.40%. Response rate by province is available in the statistical report.
The initial design weight for each sampled household had already been computed as part of the sample design process and is equal to the inverse of the probability of selection, which simply is the inverse of the sampling rate (ISR).
Adjustment to the initial design weight can be found in the statistical report
Survey instrument
The data was collected with questionnaires
Data collection
| Start | End |
|---|---|
| 2017-01-01 | 2017-12-31 |
| Name | Affiliation |
|---|---|
| Statistics South Africa | Government of South Africa |
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | http://support.data1st.org | support@data1st.org |
Public use files, available to all
Statistics South Africa. Domestic Tourism Survey 2017 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2020. DOI: https://doi.org/10.25828/aqs9-0q52
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 | URL | |
|---|---|---|---|
| DataFirst Helpdesk | University of Cape Town | support@data1st.org | http://support.data1st.org/ |
Metadata production
DDI_ZAF_2017_DTS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
2020-05-06
Metadata version
Version 01: This metadata is identical to the same survey metadata (zaf-statssa-dts-2017-v1) available in the DataFirst website except Document ID and Study ID.