Facebook
Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
https://www.unwto.org/tourism-statistics/tourism-statistics-database
The most complete collection of statistical data on the tourist industry is provided by UN tourist, which methodically compiles tourism statistics from nations and territories worldwide.
Through a series of annual questionnaires, UN Tourism gathers data from nations in accordance with the United Nations-approved International Recommendations for Tourism Statistics (IRTS 2008) standard.
The provided UN Tourism dataset comprises multiple files, each focusing on a specific aspect of tourism data. Below is a detailed description of the columns found in each of these datasets. Please note that the "INDEX" column appears to be a sequential identifier, and years (e.g., 1995-2022) represent annual data for various indicators across the datasets.
Domestic Tourism - Trips
This dataset contains information related to domestic tourism trips.
C., S., C. & S.: These columns likely represent categorization or classification codes for the data entries. 'C.' could stand for Country Code, 'S.' for Series, and 'C. & S.' for a combined Country and Series identifier.
Basic data and indicators: This column describes the specific tourism indicator being measured (e.g., 'Total trips', 'Overnights visitors (tourists)', 'Same-day visitors (excursionists)').
Units: The unit of measurement for the data (e.g., 'Thousands').
Notes: Any specific notes or disclaimers related to the data for that row.
1995 - 2022: These columns represent the recorded values for the respective tourism indicators for each year.
Domestic Tourism - Accommodation
This dataset provides statistics on accommodation used for domestic tourism.
C., S., C. & S.: Similar to the "Trips" sheet, these are likely categorization or classification codes.
Basic data and indicators: This column specifies the type of accommodation data (e.g., 'Guests', 'Overnights' in total, or specifically for 'Hotels and similar establishments').
Units: The unit of measurement for the data (e.g., 'Thousands').
Notes: Any specific notes or disclaimers related to the data for that row.
1995 - 2022: These columns represent the recorded values for the accommodation indicators for each year.
Inbound Tourism - Arrivals
This dataset details the number of international tourist arrivals.
C., S., C. & S.: Categorization or classification codes.
Basic data and indicators: This column describes the type of arrival data (e.g., 'Total arrivals', 'Overnights visitors (tourists)', 'Same-day visitors (excursionists)', and 'of which, cruise passengers').
Units: The unit of measurement for the data (e.g., 'Thousands').
Notes: Any specific notes or disclaimers related to the data for that row.
Series: This column likely indicates the type of statistical series or methodology used for data collection (e.g., 'VF' for Visitor Flow, 'TF' for Tourist Flow).
1995 - 2022: These columns represent the recorded values for the arrival indicators for each year.
Inbound Tourism - Expenditure
This dataset focuses on the expenditure by inbound tourists within the country.
C., S., C. & S.: Categorization or classification codes.
Basic data and indicators: This column specifies the type of expenditure data (e.g., 'Tourism expenditure in the country', 'Travel', 'Passenger transport').
Units: The unit of measurement for the data (e.g., 'US$ Millions').
Notes: Any specific notes or disclaimers related to the data for that row.
Series: This column indicates the data source or methodology (e.g., 'IMF' for International Monetary Fund).
1995 - 2022: These columns represent the recorded values for the expenditure indicators for each year.
Inbound Tourism - Regions
This dataset breaks down inbound tourism arrivals by the region of origin.
C., S., C. & S.: Categorization or classification codes.
Basic data and indicators: This column describes the regional breakdown of arrivals (e.g., 'Total', 'Africa', 'Americas', 'East Asia and the Pacific', 'Europe', 'Middle East', 'South Asia', 'Other not classified').
Units: The unit of measurement for the data (e.g., 'Thousands').
Notes: Any specific notes or disclaimers related to the data for that row.
Series: This column likely indicates the type of statistical series or methodology used for data collection.
1995 - 2022: These columns represent the recorded values for arrivals from each region for each year.
Inbound Tourism - Purpose
This dataset categorizes inbound tourism arrivals by their main purpose of visit.
C., S., C. & S.: Categorization or classification codes.
Basic data and indicators: This column specifies the purpose of visit (e.g., 'Total', 'Personal', 'Business and professional'). 'Personal' can be further broken down into sub-categories such as 'Holiday, leisure and recreation', 'Visiting fr...
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Tourist Arrivals in the United States increased to 6893068 in August from 6275257 in July of 2025. This dataset provides - United States Tourist Arrivals- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Facebook
Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
This dataset offers a comprehensive view of global tourism, focusing on accommodation and transportation metrics, derived from the United Nations World Tourism Organization (UNWTO) data. The UNWTO is a specialized agency of the United Nations that serves as a global forum for tourism policy issues and a practical source of tourism know-how.
Facebook
TwitterAccording to a 2025 study, the number of inbound tourist arrivals in the Americas was expected to increase across all regions that year. In 2025, North American countries were predicted to record the highest inbound visitor growth, with an estimated *** percent increase in inbound visitors.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: International Tourism: Number of Arrivals data was reported at 75,608,000.000 Person in 2016. This records a decrease from the previous number of 77,465,000.000 Person for 2015. United States US: International Tourism: Number of Arrivals data is updated yearly, averaging 51,107,500.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 77,465,000.000 Person in 2015 and a record low of 41,218,000.000 Person in 2003. United States US: International Tourism: Number of Arrivals data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Tourism Statistics. International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they have their usual residence, but outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead. Sources and collection methods for arrivals differ across countries. In some cases data are from border statistics (police, immigration, and the like) and supplemented by border surveys. In other cases data are from tourism accommodation establishments. For some countries number of arrivals is limited to arrivals by air and for others to arrivals staying in hotels. Some countries include arrivals of nationals residing abroad while others do not. Caution should thus be used in comparing arrivals across countries. The data on inbound tourists refer to the number of arrivals, not to the number of people traveling. Thus a person who makes several trips to a country during a given period is counted each time as a new arrival.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Quarterly estimates of overseas residents’ visits and spending. Also includes data on nights, purpose, region of UK visited and mode of travel. Breakdowns by nationality and area of residence are covered. This dataset is published quarterly. The versions published for Quarters 1 (Jan to Mar), 2 (Apr to June) and 3 (July to Sept) are on a separate webpage under the name "Estimates of overseas residents' visits and spending".
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Monthly estimates of overseas residents’ visits and spending and visits and spending abroad by UK or Great Britain residents. Also includes data on purpose of visit, area visited by UK residents and area of residence for overseas residents.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Tourist Arrivals in Morocco increased to 15900000 in 2024 from 14400000 in 2023. This dataset provides the latest reported value for - Morocco Tourist Arrivals - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Facebook
TwitterThe number of international tourist arrivals worldwide increased significantly in 2024 over the previous year, slightly surpassing pre-pandemic levels. After declining with the onset of the COVID-19 pandemic to roughly *** million, the lowest figure recorded since 1989, global inbound tourist arrivals reached **** billion in 2024. Europe is the most popular destination for international tourism Europe is the global region that attracts the highest number of international tourists. In 2024, inbound tourist arrivals in Europe exceeded pre-pandemic levels, totaling over *** million. Within this region, Southern and Mediterranean Europe was the most popular destination for international tourism, recording over *** million arrivals in 2024. How big is the global travel and tourism market? According to Statista Mobility Market Insights, the global travel and tourism market's revenue – including hotels, package holidays, vacation rentals, camping, and cruises – amounted to over *** billion U.S. dollars in 2024. Breaking down travel and tourism's revenue worldwide by sales channels reveals that the online channel generated approximately ** percent of the global transactions' value that year.
Facebook
Twitterhttp://www.geologyontario.mndm.gov.on.ca/terms_of_use.htmlhttp://www.geologyontario.mndm.gov.on.ca/terms_of_use.html
The Regional Tourism Profiles contain tourism statistics at the regional level. The profiles include reports on visits, spending, the number of tourism related businesses, hotel performance and itemized tourism receipts.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
DK: International Tourism: Receipts: for Travel Items data was reported at 7.046 USD bn in 2016. This records an increase from the previous number of 6.685 USD bn for 2015. DK: International Tourism: Receipts: for Travel Items data is updated yearly, averaging 5.590 USD bn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 7.617 USD bn in 2014 and a record low of 3.156 USD bn in 1997. DK: International Tourism: Receipts: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Denmark – Table DK.World Bank.WDI: Tourism Statistics. International tourism receipts for travel items are expenditures by international inbound visitors in the reporting economy. The goods and services are purchased by, or on behalf of, the traveler or provided, without a quid pro quo, for the traveler to use or give away. These receipts should include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except in cases where these are so important as to justify a separate classification. Excluded is the international carriage of travelers, which is covered in passenger travel items. Data are in current U.S. dollars.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Summary time series data of the International Visitor Survey, the National Visitor Survey and the State Tourism Satellite Account, as published by Tourism Research Australia (TRA). These data sources estimate total visitor expenditure in South Australia, direct tourism jobs and regional tourism expenditure. Breakdowns of visitor origin are also provided, with time series of visitors from the UK, Germany, USA, China and New Zealand, as well as domestic visitors in South Australia. For further details on these datasets please visit the TRA website: https://www.tra.gov.au/research
Facebook
TwitterMonthly U.S. citizen departures are collected and reported in Tourism Industries U.S. International Air Travel Statistics (I-92 data) Program.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about Turkey Visitor Arrivals
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States US: International Tourism: Number of Departures data was reported at 73,453,000.000 Person in 2015. This records an increase from the previous number of 68,176,000.000 Person for 2014. United States US: International Tourism: Number of Departures data is updated yearly, averaging 61,061,000.000 Person from Dec 1995 (Median) to 2015, with 21 observations. The data reached an all-time high of 73,453,000.000 Person in 2015 and a record low of 51,285,000.000 Person in 1995. United States US: International Tourism: Number of Departures data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Tourism Statistics. International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure.; ; World Tourism Organization, Yearbook of Tourism Statistics, Compendium of Tourism Statistics and data files.; Gap-filled total;
Facebook
TwitterMany people enjoy traveling. When comparing the long distance train ticket users in selected countries worldwide, the highest share can be found in India, where 51 percent of consumers fall into this category. Finland ranks second with 42 percent of respondents being part of this category as well.Statista Consumer Insights offer you all results of our exclusive Statista surveys, based on more than 2,000,000 interviews.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about United States Tourism Revenue Growth
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about United States Visitor Arrivals
Facebook
TwitterThis data set is statistics data of inbound / outbound tourism, from 2008 to 2018. Original data is provided by OCED. Inbound Data : https://stats.oecd.org/Index.aspx?QueryId=95071 Outbound data : https://stats.oecd.org/Index.aspx?QueryId=95071 Please refer to the link above for detailed information of data.
With these data, it is possible to observe the state of movement of people between countries in tourism. It is assumed that these data can be one of the factors to understand the trend of COVID-19 infection.
OECD stats page For full index and others please visit: https://stats.oecd.org/Index.aspx?QueryId=95071 https://stats.oecd.org/Index.aspx?QueryId
Terms and Conditions for data is as follows.
(c) Data
The OECD makes data (the “Data”) available for use and consultation by the public. Data may be subject to restrictions > beyond the scope of these Terms and Conditions, either because specific terms apply to those Data or because third parties may have ownership interests. It is the User’s responsibility to verify, either directly in the metadata or, if available, by clicking on the icon and then referring to the "source" tab, whether the Data is fully or partially owned by third parties and/or whether additional restrictions may apply, and to contact the owner of the Data before incorporating it in your work in order to secure the necessary permissions. The OECD in no way represents or warrants that it owns or controls all rights in all Data, and the OECD will not be liable to any User for any claims brought against the User by third parties in connection with the use of any Data.
Permitted use
Except where additional restrictions apply as stated above, You can extract from, download, copy, adapt, print, distribute, share and embed Data for any purpose, even for commercial use. You must give appropriate credit to the OECD by using the citation associated with the relevant Data, or, if no specific citation is available, You must cite the source information using the following format: OECD (year), (dataset name),(data source) DOI or URL (accessed on (date)). When sharing or licensing work created using the Data, You agree to include the same acknowledgment requirement in any sub-licenses that You grant, along with the requirement that any further sub-licensees do the same.
Availability of Data
The availability of the Data is contingent upon the availability of the OECD’s corresponding resources, whose capacity is subject to change at any time. The OECD may monitor your use of the Data and reserves the right, at its sole discretion and without limitation, to modify the amount of Data You may request in a single query, to modify the number of queries You may make over a specified time, to remove certain Data and to alter the file formats in which Data are available.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Tourist Arrivals in Greece decreased to 5680 Thousand in September from 7466 Thousand in August of 2025. This dataset provides - Greece Tourist Arrivals- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Facebook
Twitterhttp://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/
https://www.unwto.org/tourism-statistics/tourism-statistics-database
The most complete collection of statistical data on the tourist industry is provided by UN tourist, which methodically compiles tourism statistics from nations and territories worldwide.
Through a series of annual questionnaires, UN Tourism gathers data from nations in accordance with the United Nations-approved International Recommendations for Tourism Statistics (IRTS 2008) standard.
The provided UN Tourism dataset comprises multiple files, each focusing on a specific aspect of tourism data. Below is a detailed description of the columns found in each of these datasets. Please note that the "INDEX" column appears to be a sequential identifier, and years (e.g., 1995-2022) represent annual data for various indicators across the datasets.
Domestic Tourism - Trips
This dataset contains information related to domestic tourism trips.
C., S., C. & S.: These columns likely represent categorization or classification codes for the data entries. 'C.' could stand for Country Code, 'S.' for Series, and 'C. & S.' for a combined Country and Series identifier.
Basic data and indicators: This column describes the specific tourism indicator being measured (e.g., 'Total trips', 'Overnights visitors (tourists)', 'Same-day visitors (excursionists)').
Units: The unit of measurement for the data (e.g., 'Thousands').
Notes: Any specific notes or disclaimers related to the data for that row.
1995 - 2022: These columns represent the recorded values for the respective tourism indicators for each year.
Domestic Tourism - Accommodation
This dataset provides statistics on accommodation used for domestic tourism.
C., S., C. & S.: Similar to the "Trips" sheet, these are likely categorization or classification codes.
Basic data and indicators: This column specifies the type of accommodation data (e.g., 'Guests', 'Overnights' in total, or specifically for 'Hotels and similar establishments').
Units: The unit of measurement for the data (e.g., 'Thousands').
Notes: Any specific notes or disclaimers related to the data for that row.
1995 - 2022: These columns represent the recorded values for the accommodation indicators for each year.
Inbound Tourism - Arrivals
This dataset details the number of international tourist arrivals.
C., S., C. & S.: Categorization or classification codes.
Basic data and indicators: This column describes the type of arrival data (e.g., 'Total arrivals', 'Overnights visitors (tourists)', 'Same-day visitors (excursionists)', and 'of which, cruise passengers').
Units: The unit of measurement for the data (e.g., 'Thousands').
Notes: Any specific notes or disclaimers related to the data for that row.
Series: This column likely indicates the type of statistical series or methodology used for data collection (e.g., 'VF' for Visitor Flow, 'TF' for Tourist Flow).
1995 - 2022: These columns represent the recorded values for the arrival indicators for each year.
Inbound Tourism - Expenditure
This dataset focuses on the expenditure by inbound tourists within the country.
C., S., C. & S.: Categorization or classification codes.
Basic data and indicators: This column specifies the type of expenditure data (e.g., 'Tourism expenditure in the country', 'Travel', 'Passenger transport').
Units: The unit of measurement for the data (e.g., 'US$ Millions').
Notes: Any specific notes or disclaimers related to the data for that row.
Series: This column indicates the data source or methodology (e.g., 'IMF' for International Monetary Fund).
1995 - 2022: These columns represent the recorded values for the expenditure indicators for each year.
Inbound Tourism - Regions
This dataset breaks down inbound tourism arrivals by the region of origin.
C., S., C. & S.: Categorization or classification codes.
Basic data and indicators: This column describes the regional breakdown of arrivals (e.g., 'Total', 'Africa', 'Americas', 'East Asia and the Pacific', 'Europe', 'Middle East', 'South Asia', 'Other not classified').
Units: The unit of measurement for the data (e.g., 'Thousands').
Notes: Any specific notes or disclaimers related to the data for that row.
Series: This column likely indicates the type of statistical series or methodology used for data collection.
1995 - 2022: These columns represent the recorded values for arrivals from each region for each year.
Inbound Tourism - Purpose
This dataset categorizes inbound tourism arrivals by their main purpose of visit.
C., S., C. & S.: Categorization or classification codes.
Basic data and indicators: This column specifies the purpose of visit (e.g., 'Total', 'Personal', 'Business and professional'). 'Personal' can be further broken down into sub-categories such as 'Holiday, leisure and recreation', 'Visiting fr...