Domestic Tourism Survey 2009

South Africa, 2009

Get Microdata

Reference ID

zaf-statssa-dts-2009-v1.1

Producer(s)

Statistics South Africa

Collections

South African Tourism Survey Data

Metadata

Documentation in PDF DDI/XML JSON

Created on

May 30, 2012

Last modified

Mar 28, 2020

Page views

100261

Downloads

7609

Identification

Survey ID number

zaf-statssa-dts-2009-v1.1

Title

Domestic Tourism Survey 2009

Country

Name
South Africa

Study type

Other Household Survey [hh/oth]

Series Information

Statistics South Africa. Domestic Tourism Survey 2009 [dataset]. Pretoria. Statistics South Africa [producer], 2010. Cape Town. DataFirst [distributor], 2012. DOI: https://doi.org/10.25828/rztp-1047

Abstract

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.

Kind of Data

Sample survey data [ssd]

Unit of Analysis

The units of analysis in the Domestic Tourism Survey are households and individuals

Version

Version Description

v1.1: Edited, anonymised dataset for licensed distribution

Version Date

2010

Version Notes

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

Notes

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.

Topics

Topic	Vocabulary	URI
leisure, tourism and sport [13.4]	CESSDA

Coverage

Geographic Coverage

National coverage

Geographic Unit

The lowest level of geographic aggregation covered by the data is province.

Universe

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

Primary investigators

Name
Statistics South Africa

Sampling

Sampling Procedure

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.

Response Rate

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.

Weighting

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

Questionnaires

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

Dates of Data Collection

Start	End
2009-05-11	2009-05-22

Data Collection Notes

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.

access_policy

Access authority

Name	Affiliation	URL	Email
DataFirst	University of Cape Town		info@data1st.org

Access conditions

Public use files, available to all

Citation requirements

Statistics South Africa. Domestic Tourism Survey 2009 [dataset]. Pretoria. Statistics South Africa [producer], 2010. Cape Town. DataFirst [distributor], 2012. DOI: https://doi.org/10.25828/rztp-1047

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	URL
DataFirst Helpdesk	University of Cape Town	support@data1st.org

Metadata production

DDI Document ID

ddi-zaf-datafirst-dts-2009-v1

Producers

Name	Affiliation	Role
DataFirst	University of Cape Town	Metadata producer

Date of Metadata Production

2020-03-28

Metadata version

DDI Document version

Version 3

Back to Catalog