Statistics South Africa collects data on foreign tourism from the South African Department of Home Affairs. Data on domestic tourism is also needed to measure its contribution to the national economy. The Domestic Tourism Survey (DTS) is aimed at addressing this need by collecting data on the travel behaviour and expenditure of South African residents travelling within and outside the borders of South Africa. This survey provides data on domestic tourism activity during the period December 2009 - May 2010.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The units of analysis in the Domestic Tourism Survey are households and individuals
v1.1: Edited, anonymised dataset for licensed distribution
Version 1 of the Domestic Tourism Survey 2010 downloaded from Statistics South Africa's website on 30 January 2012 did not have value labels.
This version, version 1.1, values labels have been added by DataFirst on 29 May 2012.
The scope of the Domestic Tourism Survey 2012 includes: household characteristcs, education of household members, tourism employment, and day/overnight trips by the respondent and/or other household members. These include travel for business, recreation, entertainment, sports and nature based travel, religious and medical travel, type of transport used and expenditure on this type of travel.
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 SSA used a household survey master sample of 3 080 primary sampling units from the 80 787 enumeration areas (EAs) created for the 2001 Population Census. The master sample used a two-stage, 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.
The eligible households in the sampled dwellings can be divided into two response categories: respondents and non-respondents.
a) Respondents: This category consists of eligible households in the sampled dwellings that completed the survey questionnaire and provided usable survey responses.
b) Non-respondents: These are the eligible households in the sampled dwellings that did not complete the questionnaire, e.g. refusal, no contact, temporarily absent.
In general, the non-response adjustment was applied at PSU level and only in those cases where the nonresponse at the PSU level was too large, the non-response adjustment was applied at the stratum level.
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
Data Collection Notes
For the Domestic Tourism Survey 2010 survey officers employed and trained by Statistics SA visited the sampled dwelling units in each of the nine provinces. During the first phase of the survey, sampled dwelling units were visited and informed about the coming survey as part of the publicity campaign, which took place from 06 – 09 April 2010 and 31 May 2010 – 04 June 2010. Two hundred and thirty three (233) enumerators and 53 district coordinators participated in the survey. An additional 27 provincial quality monitors were responsible for monitoring and ensuring questionnaire quality. National training took place over a period of three days and district training was done one week later across all nine provinces for eight days.
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 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.