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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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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.
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Global Tourism Market size was worth around $11.39 trillion in 2023 and is predicted to grow to around $18.44 trillion by 2032 with a CAGR of 5.5%.
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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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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.
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Travel Market Size 2024-2028
The travel market size is forecast to increase by USD 2860.2 billion, at a CAGR of 11.1% between 2023 and 2028.
The market is experiencing significant growth, fueled by the increasing popularity of experiential travel and the surge in international tourist footfall. This trend is driven by consumers' shifting preferences towards unique and immersive travel experiences, offering opportunities for companies to differentiate their offerings and cater to this demand. However, the market faces challenges, including the growing threat from terrorism, which can deter travelers and negatively impact the industry. Companies must navigate these challenges by implementing robust security measures and fostering transparency to reassure customers. To capitalize on market opportunities, businesses should focus on delivering personalized, authentic experiences that cater to the evolving needs of travelers. By staying attuned to these trends and addressing the challenges, companies can effectively position themselves in the competitive the market landscape.
What will be the Size of the Travel Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
Request Free SampleIn the ever-evolving the market, various sectors continue to adapt and innovate to meet the changing needs and preferences of consumers. Business travelers seek convenience and efficiency with portable chargers, travel adaptors, and carry-on luggage, while solo travelers prioritize safety with GPS trackers and TSA locks. Sustainable tourism gains traction as eco-friendly options such as biodegradable products, carbon offsetting, and sustainable packaging become more prevalent. Medical tourism and food tourism cater to specific niches, offering unique experiences and specialized services. Travel data analytics and online booking platforms streamline the planning process, while tour guides and local experts provide valuable insights into destinations.
Travel writing and journals allow travelers to document their experiences and share them with others. Luxury travel and adventure travel cater to diverse markets, with wheeled luggage, travel pillows, and hiking boots providing comfort and functionality. The marketing and social media platforms connect travelers with new experiences and destinations. Travel influencers and customer loyalty programs offer incentives and personalized recommendations. Tourism management and responsible travel initiatives prioritize the well-being of communities and the environment. Cultural tourism and destination marketing foster appreciation and understanding of diverse cultures. Rental cars and community tourism provide opportunities for authentic experiences and exploration. The market remains dynamic, with ongoing developments and trends shaping the industry.
From travel accessories to travel technology, the market continues to evolve, offering new possibilities and experiences for travelers.
How is this Travel Industry segmented?
The travel industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. SectorTransportationHotelTravel activitiesTypeLeisureBusinessTourCustomized & Private VacationsSafari & AdventureCruises, Yachting & Small Ship ExpeditionsCelebration JourneysCulinary Travel & ShoppingLuxury TrainsCustomized & Private VacationsSafari & AdventureCruises, Yachting & Small Ship ExpeditionsCelebration JourneysCulinary Travel & ShoppingLuxury TrainsAge21-30 Years31-40 Years41-60 Years60 And Above21-30 Years31-40 Years41-60 Years60 And AboveGeographyNorth AmericaUSEuropeFranceUKAPACChinaJapanRest of World (ROW)
By Sector Insights
The transportation segment is estimated to witness significant growth during the forecast period.In the thriving business travel sector, various offerings cater to the diverse needs of modern tourists. First-aid kits and biodegradable products have become essential travel accessories, reflecting a growing emphasis on health and sustainability. Travel insurance policies ensure peace of mind for business travelers, while ear plugs, eye masks, and portable chargers enhance comfort during long flights. Passport holders and sustainable packaging promote organization and eco-consciousness. Carbon offsetting and packing cubes streamline the process of planning and packing for trips. Food tourism and insect repellent cater to the adventurous palate and the need for outdoor exploration. Group travel and duffel bags offer cost savings, while hiking boots and travel data analytics facilitate efficient and enjoyable exploration. Medical tourism and travel safety services ensure well-being during international journeys. Travel adaptors, tour guides,
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The global tourism market size value reached around USD 9.24 Trillion in 2024. The market is projected to grow at a CAGR of 4.70% between 2025 and 2034, reaching almost USD 14.63 Trillion by 2034.
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The global tourism big data analytics market (2025 USD 18.4 billion) is projected to double in size to USD 41.9 billion by 2035, growing at a CAGR of 8.6%. Tourism stakeholders are moving away from post-trip surveys or guesswork. Instead, they are leveraging real-time analytics to gain insights into travelerbehavior, streamline operations and create hyper-personalized experiences.
| Attribute | Details |
|---|---|
| Current Market Size (2024A) | USD 17.2 Billion |
| Estimated Market Size (2025E) | USD 18.4 Billion |
| Projected Market Size (2035F) | USD 41.9 Billion |
| Value CAGR (2025 to 2035) | 8.6% |
| Market Share of Top 10 Players (2024) | ~60% |
Country-wise Visitor Data Integration Projects
| Country | Tourists Tracked by Analytics Platforms (2024) |
|---|---|
| United States | 120 Million |
| China | 90 Million |
| France | 70 Million |
| UAE | 45 Million |
| Brazil | 38 Million |
| Japan | 42 Million |
| India | 50 Million |
| Thailand | 40 Million |
| Australia | 25 Million |
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TwitterLeisure travel accounts for the highest global travel and tourism expenditure. In 2024, leisure trips represented roughly ** percent of travel and tourism spending worldwide, showing an increase of *** percentage points over 2019.
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TwitterThis data set is about the World Tourism Organization's Compendium of Tourism Statistics and the Yearbook of Tourism Statistics. It gives statistics on arrivals of nonresident tourists/visitors, departures, and tourism expenditure in the country and in other countries. It also provides comprehensive information on international tourism worldwide and offers a selection of the latest available statistics on "arrivals of non-resident tourists/visitors" and "tourism expenditure". The best analytical projects include data cleaning and visualization.
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Laos LA: International Tourism: Receipts: for Travel Items data was reported at 712.000 USD mn in 2016. This records a decrease from the previous number of 724.000 USD mn for 2015. Laos LA: International Tourism: Receipts: for Travel Items data is updated yearly, averaging 148.500 USD mn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 724.000 USD mn in 2015 and a record low of 51.000 USD mn in 1995. Laos LA: 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 Laos – Table LA.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;
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The tourism market worldwide in 2025 will be approximately USD 11,700,000 million. It would be approximately USD 19,820,409 million in 2035 with a compound annual growth rate of 5.4%.
| Metric | Value |
|---|---|
| Market Size in 2025 | USD 11,700,000 million |
| Projected Market Size in 2035 | USD 19,820,409 million |
| CAGR (2025 to 2035) | 5.4% |
Country-Wise Outlook
| Country | CAGR (2025 to 2035) |
|---|---|
| USA | 5.9% |
| Country | CAGR (2025 to 2035) |
|---|---|
| France | 5.6% |
| Country | CAGR (2025 to 2035) |
|---|---|
| Japan | 5.2% |
| Country | CAGR (2025 to 2035) |
|---|---|
| UAE | 5.7% |
| Country | CAGR (2025 to 2035) |
|---|---|
| Costa Rica | 5.5% |
Segmentation Outlook
| By Travel Type | Market Share (2025) |
|---|---|
| Leisure Tour | 68% |
| By Booking Type | Market Share (2025) |
|---|---|
| Online Booking | 74% |
Competitive Outlook
| Company Name | Estimated Market Share (%) |
|---|---|
| Booking Holdings Inc. | 18-22% |
| Expedia Group, Inc. | 16-20% |
| Airbnb, Inc. | 12-15% |
| Trip.com Group Ltd. | 10-13% |
| TUI Group | 7-10% |
| Other Companies (combined) | 20-25% |
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TwitterThe dataset is part of the World Bank's extensive data on international tourism, specifically focused on capturing annual tourist arrivals across global destinations. This data helps in identifying tourism trends, economic impacts, and patterns in visitor growth by region and income level. By analyzing these trends, countries can gain insights into tourism’s role in their economy, the appeal of their destination on a global scale, and potential growth opportunities within the sector.
Sources The data is sourced from the World Bank's International Tourism dataset, which collects information from national tourism boards and government agencies worldwide. The World Bank collaborates with these sources to maintain consistent, reliable metrics on international tourism trends, which is essential for policy development and economic planning. The dataset is updated periodically to reflect new figures and adjusted estimates.
Inspiration This dataset serves as a foundation for understanding how tourism trends evolve over time and how global events can influence travel patterns. The inspiration for this analysis stems from the growing importance of tourism in the global economy and the need for destination countries to understand their positioning in the tourism market. Analyzing these data points offers a path to explore strategic initiatives, compare regional visitor trends, and identify emerging tourist hotspots.
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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;
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According to Cognitive Market Research, the global Smart Tourism market size was USD 29154.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.80% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 11661.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.00% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 8746.26 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 6705.47 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.8% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1457.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.2% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 583.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.5% from 2024 to 2031.
The Mobile Applications is the fastest growing segment of the Smart Tourism industry
Market Dynamics of Smart Tourism Market
Key Drivers for Smart Tourism Market
Enhanced Tourist Experience to Boost Market Growth: Enhanced traveler stories are pushed via smart technologies that customize, streamline, and increase travel. With AI-pushed answers, travelers revel in tailored itineraries and tips based totally on their hobbies, growing a unique and attractive adventure. Chatbots and digital assistants provide seamless assistance, presenting instant solutions and resolving troubles, making the journey smoother and problem-loose. Meanwhile, immersive technology like augmented and virtual reality permits traffic to explore historical websites, cultural landmarks, or even marine environments from any region, enhancing their connection with the destination. These innovations transform tourism into a more interactive, handy, and remarkable enjoy for travelers internationally.
Efficient Resource Management to Drive Market Growth: Efficient, useful resource management in tourism leverages advanced technology to optimize operations and sustainability. Real-time monitoring via clever sensors tracks tourist footfall, visitor congestion, and resource use, imparting crucial information for informed choice-making and proactive planning. This enables authorities to manipulate overcrowding, reduce environmental effects, and beautify the tourist experience. Predictive analytics, in addition, empowers corporations with the aid of reading historic records to forecast developments, permitting the most advantageous staffing, inventory management, and useful resource allocation. This equipment not only improves operational performance but additionally assists a balanced technique to tourism, ensuring each traveler's delight and the maintenance of neighborhood environments and communities.
Key Restraint Factor for the Smart Tourism Market
High Initial Investment, will Limit Market Growth: Adopting smart tourism solutions comes with high initial investment demanding situations because of the want for widespread upfront prices in hardware, software programs, and infrastructure. Setting up a community of sensors, enforcing AI-driven tools, and establishing reliable connectivity for seamless statistics transmission requires vast capital. Additionally, protection and improvements upload to lengthy-term prices, that could strain budgets, especially for smaller tourism businesses and destinations. However, while the initial investment is massive, the capacity for enhanced traveler experiences, streamlined operations, and long-term monetary advantages make that technology worthwhile attention for tourism stakeholders aiming for sustainable growth and competitive gain.
Key Trends Factor for the Smart Tourism Market
Combining AI and Big Data to Create Highly Tailored Experiences: Big data analytics and artificial intelligence are being used more and more in the tourism sector to provide individualized services. Travel platforms are providing dynamic, interest-based suggestions for lodging, activities, and restaurants based on search trends, social media inputs, and behavioral data. Travelers' expectations are rising as a result of this hyper-personalization trend, w...
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How big is the Medical Tourism Market? The Medical Tourism Market size is expected to reach USD 84.92 billion in 2024 and grow at a CAGR of 23.03% to reach USD 239.37 billion by 2029.
What is the current Medical Tourism Market size?
In 2024, the Medical Tourism Market size is expected to reach USD 84.92 billion.
Who are the key players in Medical Tourism Market?
Healthbase, Apollo Hospitals, KPJ Healthcare, Klinikum Medical Link and Medretreat are the major companies operating in the Medical Tourism Market.
Which is the fastest growing region in Medical Tourism Market?
Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in Medical Tourism Market?
In 2024, the North America accounts for the largest market share in Medical Tourism Market.
What years does this Medical Tourism Market cover, and what was the market size in 2023?
In 2023, the Medical Tourism Market size was estimated at USD 65.36 billion. The report covers the Medical Tourism Market historical market size for years: 2021, 2022 and 2023. The report also forecasts the Medical Tourism Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
What is the dominant segment contributing to the largest market share in Medical Tourism?
Cosmetic Treatment is the dominant segment that holds the major share of the Medical Tourism Market.
The Global Medical Tourism Market Report provides a comprehensive industry analysis of the medical tourism market, segmented by treatment type and geography. The market overview highlights the various treatment types including cosmetic, dental, cardiovascular, orthopedics, bariatric, fertility, ophthalmic, and other treatments. The industry statistics indicate significant market growth driven by the increasing demand for affordable and high-quality medical care.<br><br>In terms of market segmentation, the report covers North America, Europe, Asia-Pacific, the Middle East and Africa, and South America, providing a detailed market forecast for each region. The industry size and market value are presented in terms of USD, reflecting the market's economic impact. The market trends and growth rate are analyzed to provide insights into future market predictions.<br><br>The report also includes an industry outlook, focusing on key market leaders and their strategies. The market review highlights the competitive landscape and the role of both private and public healthcare service providers. Additionally, the report examines alternative treatment options and their market share.<br><br>For those seeking more detailed information, the report example and report pdf are available for further industry research. The market data and industry reports offer valuable insights for companies looking to understand the market dynamics and make informed decisions. The industry trends and market outlook provide a clear picture of the market's future direction.<br><br>Overall, the Global Medical Tourism Market Report is an essential resource for understanding the market's growth forecast and industry worth. It provides a thorough market analysis and industry information, making it a valuable tool for research companies and stakeholders in the medical tourism industry.
Medical Tourism Also Known As: Patient Mobility, Transnational Healthcare, Therapeutic Tourism, Medical Vacation, Health Travel
Medical Tourism Report Covers the Following Regions: NA, North America, North American, Northern America, Northern American, EU, Europe, European, APAC, Asia Pacific, Asian, MEA, Middle East and Africa, Middle Eastern and African, MENA, Middle East, Middle Eastern, SA, South America, South American
Medical Tourism Report Covers the Following Countries: USA, United States, US, Canada, Mexican, Mexico, DE, Germany, German, UK, United Kingdom, FR, France, French, IT, Italy, Italian, ES, Spain, Spanish, China, Chinese, JP, Japan, Japanese, IN, India, Indian, AU, Australia, Australian, KR, South Korea, South Korean, GCC, Gulf Cooperation Council, ZA, South Africa, South African, BR, Brazil, Brazilian, AR, Argentina, Argentine
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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...