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.

Geographic coverage

The survey had national coverage

Analysis unit

Households and individuals

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.

Kind of data

Sample survey data

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

Mode of data collection

Face-to-face [f2f]

Research instrument

The data was collected with questionnaires

Response rate

The overall response rate is 90.40%. Response rate by province is available in the statistical report.

The statistic displays domestic tourism in the Netherlands in 2017, with a forecast for 2030. The number of domestic tourists in the Netherlands was just under ** million in 2017. Over the coming years, the number of domestic tourists in the Netherlands travelling for both business and leisure purposes was forecast to increase by roughly **** million tourists, to approximately ** million visitors.

According to the source, the number of domestic travel nights spent in France in 2020 amounted to nearly *** million. This represents a significant decrease compared to previous years - a direct consequence of the coronavirus (COVID-19) pandemic. French tourists traveled less in their country, resulting in *** million less domestic overnight stays being recorded in 2020 than in the previous year.

Thailand Domestic Tourism: Occupancy Rate: Bangkok: Ayutthaya data was reported at 64.950 % in May 2019. This records an increase from the previous number of 63.340 % for Apr 2019. Thailand Domestic Tourism: Occupancy Rate: Bangkok: Ayutthaya data is updated monthly, averaging 63.570 % from Jan 2017 (Median) to May 2019, with 29 observations. The data reached an all-time high of 73.360 % in Jan 2019 and a record low of 52.340 % in Sep 2017. Thailand Domestic Tourism: Occupancy Rate: Bangkok: Ayutthaya data remains active status in CEIC and is reported by Ministry of Tourism and Sport. The data is categorized under Global Database’s Thailand – Table TH.Q020: Tourism Statistics: Domestic Occupancy Rate: By Region and Province.

Thailand Domestic Tourism: Occupancy Rate: Western: Songkhla data was reported at 76.740 % in May 2019. This records a decrease from the previous number of 86.450 % for Apr 2019. Thailand Domestic Tourism: Occupancy Rate: Western: Songkhla data is updated monthly, averaging 71.900 % from Jan 2017 (Median) to May 2019, with 29 observations. The data reached an all-time high of 86.450 % in Apr 2019 and a record low of 61.770 % in Jul 2017. Thailand Domestic Tourism: Occupancy Rate: Western: Songkhla data remains active status in CEIC and is reported by Ministry of Tourism and Sport. The data is categorized under Global Database’s Thailand – Table TH.Q020: Tourism Statistics: Domestic Occupancy Rate: By Region and Province.

The Travel Survey of Residents of Canada (TSRC) is a major source of data used to measure the size and status of Canada's tourism industry. It was developed to quantify the volume, the characteristics and the economic impact of domestic travel. For the system of national accounts, TSRC measures the size of domestic travel in Canada from the demand side. Since the beginning of 2005, the Travel Survey of Residents of Canada (TSRC) has been conducted to measure domestic travel in Canada. It replaces the Canadian Travel Survey (CTS). Featuring several definitional changes and a new questionnaire, this survey provides estimates of domestic travel that are more in line with the international guidelines recommended by the World Tourism Organization (WTO) and the United Nations Statistical Commission. In 2011, TSRC underwent a redesign. The Travel Survey of Residents of Canada is sponsored by Statistics Canada, the Canadian Tourism Commission, and the provincial governments. It measures the size of domestic travel in Canada from the demand side. The objectives of the survey are to provide information about the volume of trips and expenditures for Canadian residents by trip origin, destination, duration, type of accommodation used, trip reason, mode of travel, etc.; to provide information on travel incidence and to provide the socio-demographic profile of travellers and non-travellers. Estimates allow quarterly analysis at the national, provincial and tourism region level (with varying degrees of precision) on: total volume of same-day and overnight trips taken by the residents of Canada with destinations in Canada, same-day and overnight visits in Canada, main purpose of the trip/key activities on trip, spending on same-day and overnight trips taken in Canada by Canadian residents in total and by category of expenditure, modes of transportation (main/other) used on the trip, person-visits, household-visits, spending in total and by expense category for each location visited in Canada, person- and household-nights spent in each location visited in Canada, in total and by type of accommodation used, use of travel packages and associated spending and source of payment (household, government, private employer), demographics of adults that took or did not take trips, and travel party composition. The main users of the TSRC data are Statistics Canada, the Canadian Tourism Commission, the provinces, and tourism boards. Other users include the media, businesses, consultants and researchers.

Thailand Domestic Tourism: Occupancy Rate: Southern: Chiang Rai data was reported at 46.080 % in May 2019. This records an increase from the previous number of 45.630 % for Apr 2019. Thailand Domestic Tourism: Occupancy Rate: Southern: Chiang Rai data is updated monthly, averaging 48.600 % from Jan 2017 (Median) to May 2019, with 29 observations. The data reached an all-time high of 81.250 % in Jan 2019 and a record low of 37.490 % in Jul 2017. Thailand Domestic Tourism: Occupancy Rate: Southern: Chiang Rai data remains active status in CEIC and is reported by Ministry of Tourism and Sport. The data is categorized under Global Database’s Thailand – Table TH.Q020: Tourism Statistics: Domestic Occupancy Rate: By Region and Province.

According to a survey conducted in South Korea in 2024, around **** percent of people planned to travel domestically within the next three months. Compared to international travel, domestic travel was less impacted by the COVID-19 pandemic. It was also promoted by the South Korean government as a way to support tourism-related domestic industries.

This statistic presents the result of a survey on accommodation types used on domestic overnight trips taken in Iceland in 2017. The survey results showed that ** percent of domestic tourists stayed in a tent, trailer or motor home when traveling in Iceland. Staying with friends or relatives was also fairly popular. According to the overall number of guest nights in accommodation in Iceland by both domestic and international tourists, hotels and guesthouses were used more often in 2017.

This statistic displays a forecast for domestic tourist spending in London (UK) on hospitality and leisure in 2013 vs. 2017. 2013 saw almost 9 billion British pounds spent on hospitality and leisure in London. In 2017 spending was expected to rise to over 11 billion British pounds.

This statistic displays the value of domestic tourist spending on retail in London (UK) in 2013 and with a forecast for 2017, by category. Fashion retail saw the highest amount of retail spending by domestic tourists in 2013 at 774 million British pounds. This was forecast to rise to over one billion British pounds in 2017. Home retail was also expected to see growth in domestic spending. Electrical retail however was predicted to fall by approximately 54 million British pounds. London is the most visited English city for domestic tourism in Britain and average spend per visit has presented an increase over several years. Along with New York and Milan, London is considered to be one of the world’s leading shopping destinations. The city has an array of premium shopping locations, including Oxford Street and Knightsbridge, home of the high end department store Harrods. Although fashion is the most popular category, other retail sales, including luxury food and drink, are also expected to rise due to domestic travelers in 2017.Comparing the data with inbound tourism data, international tourists recorded a higher spend on fashion than domestic tourists in 2013. This was also expected to increase in 2017, while spending on electrical items was due to decrease.

Thailand Domestic Tourism: Occupancy Rate: Northern: Khon Kaen data was reported at 52.080 % in May 2019. This records a decrease from the previous number of 61.970 % for Apr 2019. Thailand Domestic Tourism: Occupancy Rate: Northern: Khon Kaen data is updated monthly, averaging 57.020 % from Jan 2017 (Median) to May 2019, with 29 observations. The data reached an all-time high of 66.730 % in Jan 2019 and a record low of 47.110 % in Oct 2017. Thailand Domestic Tourism: Occupancy Rate: Northern: Khon Kaen data remains active status in CEIC and is reported by Ministry of Tourism and Sport. The data is categorized under Global Database’s Thailand – Table TH.Q020: Tourism Statistics: Domestic Occupancy Rate: By Region and Province.

This statistic displays a forecast for total tourist spending in London (UK) in 2013 vs. 2017, by overseas and domestic tourists. Overseas tourist spending was expected to grow to 15.1 billion British pounds in 2017, while domestic tourist spending was forecasted to rise to over 17.5 billion British pounds.

This statistic presents the result of a survey on destinations visited on domestic day trips in Iceland in 2017. Þingvellir or Thingvellir ranked as the most popular day trip destination for domestic tourists, with ** percent of day trippers saying they visited the location in 2017. Gullfoss and Geysir were visited on day trips by ** percent of respondents.

Domestic tourists spent around 5.5 million nights in travel accommodation establishments in Lithuania in 2022, up from 4.4 million in the previous year. Over the observed period, the number of nights spent on domestic trips peaked at 4.8 million in 2022.

This statistic presents the most visited destinations by domestic travelers in Iceland in 2017. According to the survey, Akureyri was the most popular destination, with ** percent of domestic tourists having visited the location in 2017.

Thailand Domestic Tourism: Occupancy Rate: Southern: Sukhothai data was reported at 55.820 % in May 2019. This records a decrease from the previous number of 63.780 % for Apr 2019. Thailand Domestic Tourism: Occupancy Rate: Southern: Sukhothai data is updated monthly, averaging 61.090 % from Jan 2017 (Median) to May 2019, with 29 observations. The data reached an all-time high of 73.120 % in Dec 2017 and a record low of 50.270 % in Sep 2017. Thailand Domestic Tourism: Occupancy Rate: Southern: Sukhothai data remains active status in CEIC and is reported by Ministry of Tourism and Sport. The data is categorized under Global Database’s Thailand – Table TH.Q020: Tourism Statistics: Domestic Occupancy Rate: By Region and Province.

Thailand Domestic Tourism: Occupancy Rate: Southern: Chiang Mai data was reported at 68.340 % in May 2019. This records a decrease from the previous number of 69.870 % for Apr 2019. Thailand Domestic Tourism: Occupancy Rate: Southern: Chiang Mai data is updated monthly, averaging 69.870 % from Jan 2017 (Median) to May 2019, with 29 observations. The data reached an all-time high of 91.710 % in Dec 2018 and a record low of 61.760 % in Sep 2017. Thailand Domestic Tourism: Occupancy Rate: Southern: Chiang Mai data remains active status in CEIC and is reported by Ministry of Tourism and Sport. The data is categorized under Global Database’s Thailand – Table TH.Q020: Tourism Statistics: Domestic Occupancy Rate: By Region and Province.

In 2017 and 2018, a large share of domestic tourists stayed no longer than ** hours in Utrecht. Approximately ** percent of the respondents from the Netherlands indicated to stay between two and ** hours in Utrecht, whereas just over ** percent of the visitors from abroad mentioned to stay for multiple days in the fourth largest city of the Netherlands.