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    Home / Data Portal / STATSSA / ZAF-STATSSA-DTS-2016-V1.1
StatsSA

Domestic Tourism Survey 2016

South Africa, 2016 - 2017
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Reference ID
zaf-statssa-dts-2016-v1.1
Producer(s)
Statistics South Africa
Collections
Statistics South Africa
Metadata
DDI/XML JSON
Created on
Feb 14, 2018
Last modified
Mar 28, 2020
Page views
34920
Downloads
2049
  • Study Description
  • Data Description
  • Downloads
  • Get Microdata
  • Identification
  • Version
  • Scope
  • Coverage
  • Producers and sponsors
  • Sampling
  • Data Collection
  • Questionnaires
  • Access policy
  • Metadata production

Identification

Survey ID Number
zaf-statssa-dts-2016-v1.1
Title
Domestic Tourism Survey 2016
Country
Name Country code
South Africa zaf
Study type
Household Survey [hh]
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. This survey provides data on domestic tourism activity during the period January to December 2014.
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 public distribution
Version Date
2017-09-04
Version Notes
Version 1.0 of the Domestic Tourism Survey 2016 was downloaded from Statistics South Africa's website on 2 January 2018.
Version 1.1 is mostly the same as the original except DataFirst fixed some variables with mislabelled values. This relabelling was according to the publically available metadata and questionnaires (also included as external resources in this dataset).

Scope

Notes
The scope of the Domestic Tourism Survey 2016 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.
Keywords
Keyword
Transport
Travel

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 DTS 2016 collection was based on the 2013 Master Sample. This Master Sample is based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103 576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the Master Sample, since they covered the entire country and had other information that is crucial for stratification and creation of PSUs. There are 3 324 primary sampling units (PSUs) in the Master Sample with an expected sample of approximately 33 000 dwelling units (DUs). The number of PSUs in the current Master Sample (3 324) reflect an 8,0% increase in the size of the Master Sample compared to the previous (2008) Master Sample (which had 3 080 PSUs). The larger Master Sample of PSUs was selected to improve the precision (smaller coefficients of variation, known as CVs) of the DTS estimates.

The Master Sample is designed to be representative at provincial level and within provinces at metro/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro.

The sample for the DTS is 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 an even spread of DUs per stratum for each month.
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. The full sample and replicate weights were calibrated using the population control totals for the cells defined by the cross-classification Age-Group x Population-Group x Gender at the national level, and broad Age Groups at the province level. These are the same population control totals that are used for constructing the calibrated weights for the Quarterly Labour Force Survey and the other household surveys.

Data Collection

Dates of Data Collection
Start End
2016-01 2017-03
Data Collection Mode
Face-to-face [f2f]

Questionnaires

Questionnaires
The data was collected with a household questionnaire

Access policy

Contacts
Name Affiliation Email URL
DataFirst Helpdesk University of Cape Town support@data1st.org Link
Access conditions
Public use files, available to all
Citation requirements
Statistics South Africa. Domestic Tourism Survey 2016 [dataset]. Version 1. Pretoria: Statistics South Africa [producer], 2017. Cape Town: DataFirst [distributor], 2018. DOI: https://doi.org/10.25828/v7rz-zv44
Access authority
Name Affiliation Email URL
DataFirst University of Cape Town support@data1st.org Link

Metadata production

Producers
Name Affiliation Role
DataFirst University of Cape Town Metadata producer
Date of Metadata Production
2020-03-28
DDI Document version
Version 3
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