Statistics South Africa provides data on international tourism based on secondary data obtained from the South African Department of Home Affairs. The information from this data used by stakeholders to measure and understand international tourism in South Africa. Detailed information about national domestic tourism is limited, however and there was a need to collect more detailed information on domestic tourism in order to better understand and measure the contribution of the tourism industry towards the national economy. The Domestic Tourism Survey (DTS) is aimed at addressing this need by collecting accurate statistics on the travel behaviour and expenditure of
South African residents travelling within and outside the borders of South Africa. Such information is crucial in determining the contribution of tourism to the South African economy as well as helping with planning, marketing, policy formulation and regulation of tourism-related activities.
This survey provides data on domestic tourism activity from the beginning of February 2008 until the end of August 2008. In addition to the basic demographic information collected in the majority of household surveys conducted by Statistics South Africa, the DTS covers five areas specifically related to travel and expenditure patterns. These include trips taken by the household, domestic day trips by the respondent and/or other household members, domestic day trips by other household members (without the respondent), domestic overnight trips by the respondent and/or other household members, domestic overnight trips by other household members (without the respondent).
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The units of analysis in the Domestic Tourism Survey are households and individuals
v1: Edited, anonymised dataset for licensed distribution.
The scope of the Domestic Tourism Survey 2009 includes: household characteristcs, household listing, education, tourism employment, trips taken, day trips, overnight trips, barriers to taking trips, business and professional trips, recreation entertainment, sports trips, nature based trips, religious trips, medical trips, type of transport, expenditure on trips, and social activites
The lowest level of geographic aggregation covered by the data is province.
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, oldage homes, hospitals, prisons and military barracks and is therefore only representative of non-institutionalised and non-military persons in South Africa.
Producers and sponsors
Statistics South Africa
The sample design for the DTS 2008 was based on a master sample (MS). The master sample used a two-stage, a 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 and MS stratification was divided into two levels. Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2001 data were summarised at PSU level. The following variables were used for secondary stratification; household size, education, occupancy status, gender, industry and income. Census enumeration areas (EAs) as delineated for Census 2001 formed the basis of the PSUs. The following additional rules were used:
• Where possible, PSU sizes were kept between 100 and 500 dwelling units (DUs);
• EAs with fewer than 25 DUs were excluded;
• EAs with between 26 and 99 DUs were pooled to form larger PSUs and the criteria used was same
• Virtual splits were applied to large PSUs: 500 to 999 split into two; 1 000 to 1 499 split into three; and
1 500 plus split into four PSUs; and
• Informal PSUs were segmented.
A Randomised Probability Proportional to Size (RPPS) systematic sample of PSUs was drawn in each stratum, with the measure of size being the number of households in the PSU. Altogether approximately 3 080 PSUs were selected. In each selected PSU a systematic sample of dwelling units was drawn. The number of DUs selected per PSU varies from PSU to PSU and depends on the Inverse Sampling Ratios (ISR) of each PSU.
Sampling weights for the data collected from the sampled households are constructed so that responses can be expanded appropriately to represent the entire population of South Africa. The weights are the result of calculations involving several factors, including design weights, adjustment for non-response, and benchmarking to known population estimates from the Demographic Analysis division of Stats SA. The final survey weights are constructed by calibrating the adjusted base weight to the known population counts at national and provincial levels (which are supplied by the Demographic Analysis division of Statistics SA), cross-classified by 5-year age groups (0-4, 5-9, 10-14, 55-59, 60-64, and 65 and over), gender and race. The provincial population estimates are cross-classifiedby broad age groups (0–14, 15–34, 35–64, and 65 years and over). The calibrated weights are constructed to ensure that all persons in a household have the same final weight (integrated weighting).
Dates of Data Collection
Data Collection Mode
The DTS 2008 questionnaire collected data on the following topics:
Cover page Household information, response details, field staff information, result codes, etc.
Flap: Demographic information (name, sex, age, population group, etc.) and basic tourism information
Section 1: Information on trips taken by respondent and other household members in the past six months and barriers for not taking trips.
Section 2: Day trip taken by the respondent in the past six months prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure
Section 3: Day trip taken by other household members without the respondent in the past six months prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure.
Section 4: Domestic overnight trips taken(inside South Africa), taken by the respondent in the past sixmonths, prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure.
Section 5: Domestic overnight trips taken by the other household member in the past six months prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure.
Section 6: Outbound overnight trips outside South Africa, taken by the respondent in the past six months, prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure.
Section 7: Outbound overnight trips outside South Africa, taken by the respondent in the past six months, prior to the survey interview, destination, means of transport, purpose of trip, activities on the trip, and expenditure.
Section 8: Column number of the responding person, and the language used during the interview.
All sections: Comprehensive coverage of domestic and foreign trips undertaken
Note: The DTS questionnaire had two sections for the domestic overnight trips taken by the respondent and other household members without the respondent. Thus section 4 (domestic overnight trips
by the respondent) and section 5 (domestic overnight trips by other household members without the respondent). The purpose of this split was to collect as many domestic overnight trips as possible from the
Caution must be exercised when interpreting the results of the DTS at low levels of dis-aggregation. Revisions to the DTS data sets based on the new population estimates involved benchmarking at national
level in terms of age, sex and population group while at provincial level, benchmarking was by population group only. The sample and reporting are based on the provincial boundaries as defined in December 2005.
The Domestic Tourism Survey 2008 dataset is a licensed dataset, accessible under conditions.
Publications based on datasets distributed by DataFirst should acknowledge relevant sources by means of bibliographic citations. To ensure that such source attributions are captured for social science bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this dataset is:
Statistics South Africa. 2009. Domestic Tourism Survey 2008 [dataset]. Version 1. Pretoria. Statistics South Africa [producer]. Cape Town. DataFirst [distributor].
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.
(c) 2010 , Statistics South Africa
DDI Document ID
University of Cape Town
Documentation of the DDI
Date of Metadata Production
DDI Document version
Version 01: Adopted from "ddi-zaf-datafirst-dts-2008-v1" DDI that was done by metadata producer mentioned in "Metadata Production" section.