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 during the period January 2010 - December 2010. For, this 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
This version (Version 1) of the Domestic Tourism Survey 2011 was downloaded from Statistics South Africa's website on 26 September 2012.
The scope of the Domestic Tourism Survey 2011 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
For the Domestic Tourism Survey 2011 Statistics South Africa used a sample design developed by their Methodology and Evaluation division. This sample frame can be used as a general-purpose household survey frame for all household surveys, irrespective of the sample size requirement of the survey. Stats SA's household-based surveys use a master sample (MS) of 3 080 primary sampling units (PSUs) made up from the 80 787 enumeration areas (EAs) created for the 2001 Population Census.
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 and secondary stratification. 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.
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
Household Questionnaire: This includes sections on:
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, social activites
The Domestic Tourism Survey 2011 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. 2012. Domestic Tourism Survey 2011 [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.