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Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.
Key Travel Datasets Available:
Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like
Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.
Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends
to optimize revenue management and competitive analysis.
Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat,
including restaurant details, customer ratings, menus, and delivery availability.
Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences
across different regions.
Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation,
allowing for precise market research and localized business strategies.
Use Cases for Travel Datasets:
Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.
Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via
API, cloud storage (AWS, Google Cloud, Azure), or direct download.
Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.
Domestic travel and tourism spending worldwide grew by roughly 18 percent in 2023 compared to the previous year, recovering from the impact of COVID-19. Overall, the total travel and tourism expenditure by domestic visitors worldwide amounted to approximately 4.86 trillion U.S. dollars in 2023, the highest figure reported to date.
Monthly U.S. citizen departures are collected and reported in Tourism Industries U.S. International Air Travel Statistics (I-92 data) Program.
Travel agents are responsible for helping travelers select and organize a trip according to a specific budget. They can be found in both brick-and-mortar establishments and online. The travel agency industry's global revenue was estimated at over *** billion U.S. dollars as of March 2025. As of that month, roughly ******* businesses operated in this market, with employment reaching approximately ***** million.
Updates are delayed due to technical difficulties. How many people are staying at home? How far are people traveling when they don’t stay home? Which states and counties have more people taking trips? The Bureau of Transportation Statistics (BTS) now provides answers to those questions through our new mobility statistics. The Trips by Distance data and number of people staying home and not staying home are estimated for the Bureau of Transportation Statistics by the Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland. The travel statistics are produced from an anonymized national panel of mobile device data from multiple sources. All data sources used in the creation of the metrics contain no personal information. Data analysis is conducted at the aggregate national, state, and county levels. A weighting procedure expands the sample of millions of mobile devices, so the results are representative of the entire population in a nation, state, or county. To assure confidentiality and support data quality, no data are reported for a county if it has fewer than 50 devices in the sample on any given day. Trips are defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Home locations are imputed on a weekly basis. A movement with multiple stays of longer than 10 minutes before returning home is counted as multiple trips. Trips capture travel by all modes of transportation. including driving, rail, transit, and air. The daily travel estimates are from a mobile device data panel from merged multiple data sources that address the geographic and temporal sample variation issues often observed in a single data source. The merged data panel only includes mobile devices whose anonymized location data meet a set of data quality standards, which further ensures the overall data quality and consistency. The data quality standards consider both temporal frequency and spatial accuracy of anonymized location point observations, temporal coverage and representativeness at the device level, spatial representativeness at the sample and county level, etc. A multi-level weighting method that employs both device and trip-level weights expands the sample to the underlying population at the county and state levels, before travel statistics are computed. These data are experimental and may not meet all of our quality standards. Experimental data products are created using new data sources or methodologies that benefit data users in the absence of other relevant products. We are seeking feedback from data users and stakeholders on the quality and usefulness of these new products. Experimental data products that meet our quality standards and demonstrate sufficient user demand may enter regular production if resources permit.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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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".
DRAKO is a Mobile Location Data provider with a programmatic trading desk specializing in geolocation analytics and programmatic advertising. Our Tourism Data has helped cities, counties, and states better understand who their visitors are so that they can effectively develop and deliver advertising campaigns. We’re in a unique position to deliver enriched insight beyond traditional surveying or other data sources because of our rich dataset, proprietary modelling capabilities, and analytical capabilities.
MAIDs (Mobile Advertising IDs) are unique device identifiers associated with consenting mobile devices that can be utilized for geolocation based analyses and audiences. Drako uses MAIDs to fuel our Tourism Data utilizing our Home Location Model. The Home Location of a MAID is determined based on where that MAID is seen most frequently between the hours of 11pm and 6am (local time). Using this we are able to determine the Home Location of a user which in turn allows us to identify when and where they are travelling.
Beyond identifying that users are tourists, we can also classify them into different bins by their frequency / dwell time over their estimated number of visits. Using our data and frequency, we can identify: overnight visitors, weekend visits, short-term stays, long-term stays, or frequent holiday visitors !
Beyond Tourism Data in your defined geography alone, we are also able to provide: - Home location - Find out where your audience is coming from using our home location technology - Movement - Quantify how far users have travelled between locations. - Demographics - Discover neighborhood level characteristics such as income, ethnicity, and more - Brand index - Learn which major brands and retailers your audience is visiting the most. - Visitation index - See which destinations your visitors are visiting the most - Addressable audience - Customize your audiences for your campaigns using our analytic insights
Moreover, if you’re looking to activate your Tourism Data for advertising, we’re always able to further refine or filter your desired audience with our other Audience Data, such as: Brand visits, Geodemographics, Ticketed Event visits, Purchase Intent (in Canada), Purchase History (in USA), and more !
Data Compliance: All of our Tourism Data is fully CCPA compliant and 100% sourced from SDKs (Software Development Kits), the most reliable and consistent mobile data stream with end user consent available with only a 4-5 day delay. This means that our location and device ID data comes from partnerships with over 1,500+ mobile apps. This data comes with an associated location which is how we are able to segment using geofences.
Data Quality: In addition to partnering with trusted SDKs, DRAKO has additional screening methods to ensure that our mobile location data is consistent and reliable. This includes data harmonization and quality scoring from all of our partners in order to disregard MAIDs with a low quality score.
Global business tourism spending was estimated to reach approximately *** trillion U.S. dollars in 2024, which represents a full recovery from the COVID-19 pandemic. Business travel is a branch of the tourism industry focusing on trips made for work-related purposes. Attending congresses, meetings, and trade fairs, for instance, are among the main activities related to this market. How did the COVID-19 pandemic hit domestic and international business trips? After the outbreak of the coronavirus (COVID-19) pandemic in 2020, companies worldwide had to revisit their trip plans, as different restrictions adopted across the world disrupted global travel. According to a study by the Global Business Travel Association (GBTA), the share of companies canceling most or all domestic business trips worldwide reached ** percent as of October 2021. Meanwhile, almost ***** in *** surveyed firms suspended international business travel as of the same month. Which company spent the most on booked air volume in the U.S.? As the pandemic hit the business travel market hard in 2020, it comes as no surprise that the volume of air tickets purchased by companies in the United States experienced a sharp decline due to the health crisis. While Deloitte spent over *** million U.S. dollars on air travel in 2019, it reported an expenditure of ** million U.S. dollars in 2020. That year, the company ranked as the second leading air travel spender in the U.S. behind Amazon.
Open 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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France FR: International Tourism: Expenditures: for Travel Items data was reported at 40.552 USD bn in 2016. This records an increase from the previous number of 39.269 USD bn for 2015. France FR: International Tourism: Expenditures: for Travel Items data is updated yearly, averaging 31.843 USD bn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 48.762 USD bn in 2014 and a record low of 16.358 USD bn in 1995. France FR: International Tourism: Expenditures: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Tourism Statistics. International tourism expenditures are expenditures of international outbound visitors in other countries. 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 may include expenditures by residents traveling abroad as 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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Sweden SE: International Tourism: Expenditures: for Travel Items data was reported at 14.480 USD bn in 2016. This records an increase from the previous number of 14.410 USD bn for 2015. Sweden SE: International Tourism: Expenditures: for Travel Items data is updated yearly, averaging 10.089 USD bn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 15.823 USD bn in 2014 and a record low of 5.448 USD bn in 1995. Sweden SE: International Tourism: Expenditures: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Tourism Statistics. International tourism expenditures are expenditures of international outbound visitors in other countries. 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 may include expenditures by residents traveling abroad as 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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Aruba AW: International Tourism: Expenditures: for Travel Items data was reported at 306.000 USD mn in 2020. This records a decrease from the previous number of 389.000 USD mn for 2019. Aruba AW: International Tourism: Expenditures: for Travel Items data is updated yearly, averaging 243.000 USD mn from Dec 1995 (Median) to 2020, with 26 observations. The data reached an all-time high of 389.000 USD mn in 2019 and a record low of 73.000 USD mn in 1995. Aruba AW: International Tourism: Expenditures: for Travel Items data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Aruba – Table AW.World Bank.WDI: Tourism Statistics. International tourism expenditures are expenditures of international outbound visitors in other countries. 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 may include expenditures by residents traveling abroad as 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;
The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of travel agencies (NAICS 56151) & tour operators (NAICS 56152) & other travel arrangement and reservation services (NAICS 56159), annual, for five years of data.
Accessible Tables and Improved Quality
As part of the Analysis Function Reproducible Analytical Pipeline Strategy, processes to create all National Travel Survey (NTS) statistics tables have been improved to follow the principles of Reproducible Analytical Pipelines (RAP). This has resulted in improved efficiency and quality of NTS tables and therefore some historical estimates have seen very minor change, at least the fifth decimal place.
All NTS tables have also been redesigned in an accessible format where they can be used by as many people as possible, including people with an impaired vision, motor difficulties, cognitive impairments or learning disabilities and deafness or impaired hearing.
If you wish to provide feedback on these changes then please email national.travelsurvey@dft.gov.uk.
Revision to table NTS9919
On the 16th April 2025, the figures in table NTS9919 have been revised and recalculated to include only day 1 of the travel diary where short walks of less than a mile are recorded (from 2017 onwards), whereas previous versions included all days. This is to more accurately capture the proportion of trips which include short walks before a surface rail stage. This revision has resulted in fewer available breakdowns than previously published due to the smaller sample sizes.
NTS0303: https://assets.publishing.service.gov.uk/media/66ce0f118e33f28aae7e1f75/nts0303.ods">Average number of trips, stages, miles and time spent travelling by mode: England, 2002 onwards (ODS, 53.9 KB)
NTS0308: https://assets.publishing.service.gov.uk/media/66ce0f128e33f28aae7e1f76/nts0308.ods">Average number of trips and distance travelled by trip length and main mode; England, 2002 onwards (ODS, 191 KB)
NTS0312: https://assets.publishing.service.gov.uk/media/66ce0f12bc00d93a0c7e1f71/nts0312.ods">Walks of 20 minutes or more by age and frequency: England, 2002 onwards (ODS, 35.1 KB)
NTS0313: https://assets.publishing.service.gov.uk/media/66ce0f12bc00d93a0c7e1f72/nts0313.ods">Frequency of use of different transport modes: England, 2003 onwards (ODS, 27.1 KB)
NTS0412: https://assets.publishing.service.gov.uk/media/66ce0f1325c035a11941f653/nts0412.ods">Commuter trips and distance by employment status and main mode: England, 2002 onwards (ODS, 53.8 KB)
NTS0504: https://assets.publishing.service.gov.uk/media/66ce0f141aaf41b21139cf7d/nts0504.ods">Average number of trips by day of the week or month and purpose or main mode: England, 2002 onwards (ODS, 141 KB)
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This chart offers a detailed view of the estimated sales amounts for Travel stores across different regions. In United States, the sales figures are particularly impressive, with the region generating $26.53B, which accounts for 41.93% of the total sales in this category. United Kingdom follows with robust sales, totaling $7.21B and representing 11.39% of the overall sales. Unknown also contributes significantly to the market with sales amounting to $1.63B, making up 2.58% of the total. These numbers not only illustrate the economic vitality of each region in the Travel market but also highlight regional consumer preferences and spending power.
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Business Travel Statistics: Even after the upsurge of the COVID-19 pandemic, business travel remains an essential aspect of growing your business. Business travel allows for the exploration of new opportunities and outlooks for those who travel. Despite various technological advancements, corporate travel trends show that there is no replacement for face-to-face interactions.
Traveling can also hold up corporate initiatives for developing skills, networking, and recruitment. Nevertheless, the introduction of COVID-19 has thrown a wrench at some of those travel plans and has led to the importance of risk assessment and essential changes in future travels. We shall shed more light on Business Travel Statistics through this article.
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The Latin America Travel and Tourism Market Report is Segmented by Type (International Tourism and Domestic/Local Tourism), Purpose (Adventure Tourism, Business Travel, Conference or Seminar Travel, and Family and Friends Visit), and Country (Brazil, Mexico, Colombia, Chile, Argentina, and Rest of Latin America). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.
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Explore the statistics for Travel eCommerce in 2025, including store count by region and platform, estimated sales amount by platform and region, products sold by platform and region, and total app spend by platform and region. Gain insights into regional preferences, market penetration, consumer trends, and technological investments within the Travel sector. Discover the leading regions and platforms, as well as the dynamics of sales and product volumes. Stay informed about the evolving landscape of Travel online stores for a comprehensive understanding of the market.
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United States US: International Tourism: Expenditures: for Travel Items data was reported at 123.620 USD bn in 2016. This records an increase from the previous number of 114.723 USD bn for 2015. United States US: International Tourism: Expenditures: for Travel Items data is updated yearly, averaging 80.706 USD bn from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 123.620 USD bn in 2016 and a record low of 46.379 USD bn in 1995. United States US: International Tourism: Expenditures: for Travel Items 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 tourism expenditures are expenditures of international outbound visitors in other countries. 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 may include expenditures by residents traveling abroad as 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;
U.S. Government Workshttps://www.usa.gov/government-works
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This dataset contains data and analysis from the article Do State Department Travel Warnings Reflect Real Danger?
BTSOriginUS_10_09_to_06_16.csv
Air Carrier Statistics Database export, Bureau of Transportation StatisticsSDamerican_deaths_abroad_10_09_to_06_16.csv
U.S. State DepartmentSDwarnings_10_09to06_16.csv
U.S. State Department via Internet Archivehttps://cdn-images-1.medium.com/max/800/1*moPQYbzXW0Jx6AFhY8VKWQ.png" alt="alt text">
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Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.
Key Travel Datasets Available:
Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like
Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.
Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends
to optimize revenue management and competitive analysis.
Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat,
including restaurant details, customer ratings, menus, and delivery availability.
Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences
across different regions.
Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation,
allowing for precise market research and localized business strategies.
Use Cases for Travel Datasets:
Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.
Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via
API, cloud storage (AWS, Google Cloud, Azure), or direct download.
Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.