Domestic Tourism Survey 2009
South Africa, 2009
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ZAF_2009_DTS_v01_M
Domestic Tourism Survey 2009
| Name | Country code |
|---|---|
| South Africa | ZAF |
Other Household Survey [hh/oth]
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 December 2008 - February 2009. 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).
Sample survey data [ssd]
The units of analysis in the Domestic Tourism Survey are households and individuals
Version
v1.1: Edited, anonymised dataset for licensed distribution.
2010
Version 1 of the Domestic Tourism Survey 2009 downloaded from Statistics South Africa's website on 18 November 2011 did not have value labels.
This version, version 1.1, values labels have been added by DataFirst on 29 May 2012.
Scope
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
| Topic | Vocabulary | URI |
|---|---|---|
| leisure, tourism and sport [13.4] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
National coverage
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
| Name |
|---|
| Statistics South Africa |
Sampling
For the Domestic Tourism Survey 2009 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 of 3 080 primary sampling units (PSUs) made up from the 80 787 enumeration areas (EAs) created for the 2001 Population Census.
For the Domestic Tourism Survey 2009, two samples were drawn in order to obtain two reference periods. The first sample was for the reference period December 2008 to February 2009, and consisted of 1 533 primary sampling units and 15 725 dwelling units. The second sample was never used, due to operational constraints. The DTS 2009 sample was designed to be representative at provincial level and within provinces at metro/non-metro level. Within the metros, the sample is further distributed according to geographical type. The four geography types are: urban formal, urban informal, farms, and tribal areas. The sample for the DTS 2009 was based on a stratified two-stage design, with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.
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).
Survey instrument
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.
Data collection
| Start | End |
|---|---|
| 2009-05-11 | 2009-05-22 |
For the Domestic Tourism Survey 2009 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 5-10 May 2009. Four hundred and thirty seven enumerators, 127 supervisors and 59 district coordinators participated in the survey. An additional 37 quality assurors 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 for eight days in all nine provinces.
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | http://www.datafirst.uct.ac.za | info@data1st.org |
The Domestic Tourism Survey 2009 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. 2010. Domestic Tourism Survey 2009 [dataset]. Pretoria. Statistics South Africa [producer]. Cape Town. DataFirst [distributor].
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.
(c) 2010 , Statistics South Africa
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Manager, DataFirst | University of Cape Town | info@data1st.org | http://www.datafirst.uct.ac.za |
Metadata production
DDI_ZAF_2009_DTS_v01_M
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Documentation of the DDI |
2011-11-18
Metadata version
Version 01: Adopted from "ddi-zaf-datafirst-dts-2009-v1" DDI that was done by metadata producer mentioned in "Metadata Production" section.