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    Home / Data Portal / STATSSA / ZAF-STATSSA-DTS-2017-V1
StatsSA

Domestic Tourism Survey 2017

South Africa, 2017
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Reference ID
zaf-statssa-dts-2017-v1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
DDI/XML JSON
Created on
May 02, 2020
Last modified
May 06, 2020
Page views
50137
Downloads
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  • Study Description
  • Data Description
  • Downloads
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  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • survey_instrument
  • Data Collection
  • Data Access
  • Contacts
  • Metadata production
  • Identification

    Survey ID number

    zaf-statssa-dts-2017-v1

    Title

    Domestic Tourism Survey 2017

    Country
    Name Country code
    South Africa zaf
    Study type

    Household Survey [hh]

    Series Information

    Statistics South Africa. Domestic Tourism Survey 2017 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2020. DOI: https://doi.org/10.25828/aqs9-0q52

    Abstract

    The DTS is a large-scale household survey aimed at collecting accurate statistics on the travel behaviour and expenditure of South African residents travelling within the borders of the country. Such information is crucial when determining the contribution of tourism to the South African economy, as well as helping with planning, marketing, policy formulation, and the regulation of tourism-related activities.

    Kind of Data

    Sample survey data

    Unit of Analysis

    Households and individuals

    Version

    Version Description

    v1: anonymised for public distribution

    Version Date

    2018-09-13

    Version Notes

    Version 1 of the Domestic Tourism Survey 2017 was downloaded from Stats SA in Oct 2019

    Scope

    Notes

    The following information was collected: Domestic day and overnight trips undertaken; Trips undertaken by respondents and trips by other household members without the respondent accompanying them; Profile of the most recent day/overnight domestic trips undertaken both by the respondent and other household members (detailing information on destination, trip length, purpose of visit, accommodation, transport, activities, trip expenditure, etc.) and Socio-demographics.

    Keywords
    Transport Travel tourism domestic

    Coverage

    Geographic Coverage

    The survey had national coverage

    Geographic Unit

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

    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, old age homes, hospitals, prisons and military barracks.

    Producers and sponsors

    Primary investigators
    Name Affiliation
    Statistics South Africa Government of South Africa

    Sampling

    Sampling Procedure

    The sample design for the DTS 2018 was based on a Master Sample (MS) that has been designed for all household surveys conducted by Statistics South Africa.

    The Master Sample used a two-staged, 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. Stratification was done in two stages: Primary stratification was defined by metropolitan and non-metropolitan geographic area type. During secondary stratification, the Census 2011 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 overall response rate is 90.40%. Response rate by province is available in the statistical report.

    Weighting

    The initial design weight for each sampled household had already been computed as part of the sample design process and is equal to the inverse of the probability of selection, which simply is the inverse of the sampling rate (ISR).

    Adjustment to the initial design weight can be found in the statistical report

    survey_instrument

    Questionnaires

    The data was collected with questionnaires

    Data Collection

    Dates of Data Collection
    Start End
    2017-01-01 2017-12-31
    Data Collectors
    Name Affiliation
    Statistics South Africa Government of South Africa

    Data Access

    Access authority
    Name Affiliation URL Email
    DataFirst University of Cape Town http://support.data1st.org support@data1st.org
    Access conditions

    Public use files, available to all

    Citation requirements

    Statistics South Africa. Domestic Tourism Survey 2017 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2018. Cape Town: DataFirst [distributor], 2020. DOI: https://doi.org/10.25828/aqs9-0q52

    Contacts

    Contacts
    Name Affiliation Email URL
    DataFirst Helpdesk University of Cape Town support@data1st.org http://support.data1st.org/

    Metadata production

    Producers
    Name Affiliation Role
    DataFirst University of Cape Town Metadata producer
    Date of Metadata Production

    2020-05-06

    Metadata version

    DDI Document version

    Version 1

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