Domestic Tourism Survey 2019

South Africa, 2019

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Reference ID

ZAF_2019_DTS_v01_M

Producer(s)

Statistics South Africa

Collection(s)

DataFirst , University of Cape Town, South Africa

Metadata

Documentation in PDF DDI/XML JSON

Study website

Created on

Jun 23, 2022

Last modified

Jun 23, 2022

Page views

7488

Downloads

230

Identification

Survey ID number

ZAF_2019_DTS_v01_M

Title

Domestic Tourism Survey 2019

Country/Economy

Name	Country code
South Africa	ZAF

Study type

Other Household Survey [hh/oth]

Abstract

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

Version Description

Version 01: 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

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, 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

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 summarized 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.

Survey instrument

Questionnaires

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

Dates of Data Collection

Start	End
2019	2019

Mode of data collection

Computer Assisted Personal Interview [capi]

Data Access

Access authority

Name	Affiliation	URL	Email
DataFirst	University of Cape Town	http://support.data1st.org	support@data1st.org

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

Disclaimer and copyrights

Disclaimer

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	Email
DataFirst	University of Cape Town	support@data1st.org

Metadata production

DDI Document ID

DDI_ZAF_2019_DTS_v01_M

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	Metadata producer
Development Economics Data Group	The World Bank	Metadata adapted for Microdata Library

Date of Metadata Production

2022-01-23

Metadata version

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.

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