Domestic Tourism Survey 2019

South Africa, 2019

Get Microdata

Reference ID

ZAF_2019_DTS_v01_M

Producer(s)

Statistics South Africa

Metadata

DDI/XML JSON

Study website

Created on

Jun 22, 2022

Last modified

Jun 22, 2022

Page views

6614

Downloads

223

Gender (Gender)

Data file: dts-2019-night-v1

Overview

Valid: 208002

Invalid: -

Minimum: 1

Maximum: 2

Type: Discrete

Decimal: 0

Start: 41

End: 41

Width: 1

Range: 1 - 2

Format: Numeric

Questions and instructions

Categories

Value	Category	Cases
1	Male	103871	49.9%
2	Female	104131	50.1%

Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Back to Catalog