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TwitterMonthly U.S. citizen departures are collected and reported in Tourism Industries U.S. International Air Travel Statistics (I-92 data) Program.
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TwitterAccording to a 2025 study, the number of outbound tourist visits worldwide was expected to grow across all regions in that year. In 2025, the Asia-Pacific region was forecast to record the highest outbound tourism growth, with a 22.6 percent annual increase in outbound trips.
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TwitterIn 2023, Mexico was the leading outbound travel market in the United States based on the share of tourist departures, at 28 percent, showing a slight decline over 2019. Canada and the United Kingdom followed in second and third place, representing 10 and four percent of outbound tourist departures, respectively.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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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.
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TwitterIn 2024, the number of outbound tourists from the United States surpassed ***** million. This represented an increase over the previous year's figure of **** million.
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China Outbound Tourist data was reported at 154,632.500 Person-Time th in 2019. This records an increase from the previous number of 149,718.400 Person-Time th for 2018. China Outbound Tourist data is updated yearly, averaging 126,267.500 Person-Time th from Dec 2014 (Median) to 2019, with 6 observations. The data reached an all-time high of 154,632.500 Person-Time th in 2019 and a record low of 107,275.500 Person-Time th in 2014. China Outbound Tourist data remains active status in CEIC and is reported by Ministry of Culture and Tourism. The data is categorized under China Premium Database’s Tourism Sector – Table CN.QAA: Tourism Industry Overview.
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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
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TwitterExplore outbound tourism trips by main destinations in Saudi Arabia with the SAMA Annual dataset. Find valuable insights and statistics to plan your next trip or analyze tourism trends.
Trips, SAMA Annual Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Unit :thousand tripsInclude data on overnight visitors only.
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TwitterExplore the dataset on expenditure on outbound tourism trips by purpose of visit, including categories such as visits to relatives and friends, holidays and shopping, business and conferences, and more. Access comprehensive tourism statistics for Saudi Arabia annually.
Total Expenditure, Visits To Relatives And Friends, Holidays and Shopping, Other Purposes, Business and Conferences, Expenditure, Tourism, Business, visitors, Toursim Statistics, SAMA Annual
Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Include data on overnight visitors only.
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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;
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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...
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TwitterAccording to a 2025 study, both inbound arrivals and outbound visits globally were expected to grow that year. In 2025, inbound overnight arrivals were forecast to increase by **** percent over the previous year, while outbound trips were predicted to grow by **** percent.
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Egypt EG: International Tourism: Number of Departures data was reported at 6,180,000.000 Person in 2014. This records an increase from the previous number of 5,782,000.000 Person for 2013. Egypt EG: International Tourism: Number of Departures data is updated yearly, averaging 4,087,500.000 Person from Dec 1995 (Median) to 2014, with 18 observations. The data reached an all-time high of 6,180,000.000 Person in 2014 and a record low of 2,683,000.000 Person in 1995. Egypt EG: 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 Egypt – Table EG.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;
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The india outbound tourism market is projected to grow from USD 21.0 billion in 2025 to USD 61.7 billion by 2035, at a CAGR of 11.4%.
| Metric | Value |
|---|---|
| India Outbound Tourism Market Estimated Value in (2025 E) | USD 21.0 billion |
| India Outbound Tourism Market Forecast Value in (2035 F) | USD 61.7 billion |
| Forecast CAGR (2025 to 2035) | 11.4% |
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Turkey TR: International Tourism: Number of Departures data was reported at 7,892,000.000 Person in 2016. This records a decrease from the previous number of 8,751,000.000 Person for 2015. Turkey TR: International Tourism: Number of Departures data is updated yearly, averaging 5,682,000.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 8,751,000.000 Person in 2015 and a record low of 3,981,000.000 Person in 1995. Turkey TR: 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 Turkey – Table TR.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;
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The Trends, Growth, and Opportunity Analysis of Outbound Tourism in France is estimated to be valued at USD 38.6 billion in 2025 and is projected to reach USD 59.4 billion by 2035, registering a compound annual growth rate (CAGR) of 4.4% over the forecast period.
| Metric | Value |
|---|---|
| Trends, Growth, and Opportunity Analysis of Outbound Tourism in France Estimated Value in (2025 E) | USD 38.6 billion |
| Trends, Growth, and Opportunity Analysis of Outbound Tourism in France Forecast Value in (2035 F) | USD 59.4 billion |
| Forecast CAGR (2025 to 2035) | 4.4% |
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The Industry Analysis of Outbound Tourism in Germany is estimated to be valued at USD 126.2 billion in 2025 and is projected to reach USD 321.5 billion by 2035, registering a compound annual growth rate (CAGR) of 9.8% over the forecast period.
| Metric | Value |
|---|---|
| Industry Analysis of Outbound Tourism in Germany Estimated Value in (2025 E) | USD 126.2 billion |
| Industry Analysis of Outbound Tourism in Germany Forecast Value in (2035 F) | USD 321.5 billion |
| Forecast CAGR (2025 to 2035) | 9.8% |
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TwitterMetadata
* C02163V02608: Code for method of booking.
* Method of Booking: Information about the method used for booking.
* C02276V02746: Code for Domestic or Outbound.
* Domestic or Outbound: Indicates whether the booking is for domestic travel (within the same country) or outbound travel (outside of the country).
* TLIST(Q1): Code for Quarter of the Year.
* Quarter: Indicates the quarter of the year in which the booking was made.
* STATISTIC: Code of label for statistical measures
* Statistic Label: Contains labels or identifiers for different statistical measures or metrics associated with the bookings.
* UNIT: Specifies the unit of measurement for the statistic values in the dataset. For example.
* VALUE: Contains the actual values of the statistics corresponding to the respective labels in the "STATISTIC" column.
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TwitterThe number of visits abroad from the United Kingdom grew in 2023 over the previous year, reaching close to *** million trips. That year, the most common purpose for travelling abroad for UK residents was for holiday purposes, with over ** million trips made for this reason.
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TwitterChina reported the highest outbound tourism expenditure worldwide in 2024, with Chinese travelers spending almost *** billion U.S. dollars on outbound trips that year. While this figure represented a sharp annual increase, it remained slightly below pre-pandemic levels. Meanwhile, the United States and Germany followed in the ranking in 2024. How many tourists travel every year? In 2024, the number of international tourist arrivals worldwide totaled almost *** billion, recovering from the impact of COVID-19 and hitting an all-time high. Meanwhile, international tourism receipts worldwide also reached their highest figure to date in 2024, peaking at over *** trillion U.S. dollars. What are the most popular regions for inbound tourism worldwide? Both before and after the impact of the pandemic, Europe was the global region with the highest number of international tourist arrivals. In 2024, the number of inbound arrivals in Europe exceeded *** million. Comparatively, Asia and the Pacific, which recorded the second-highest figure that year, reported nearly *** million inbound tourist arrivals.
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TwitterMonthly U.S. citizen departures are collected and reported in Tourism Industries U.S. International Air Travel Statistics (I-92 data) Program.