100+ datasets found
  1. d

    Monthly Tourism Statistics: Outbound Travel by World Regions

    • catalog.data.gov
    • datasets.ai
    Updated Feb 25, 2023
    + more versions
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    International Trade Administration (2023). Monthly Tourism Statistics: Outbound Travel by World Regions [Dataset]. https://catalog.data.gov/dataset/monthly-tourism-statistics-outbound-travel-by-world-regions-3bd0d
    Explore at:
    Dataset updated
    Feb 25, 2023
    Dataset provided by
    International Trade Administration
    Area covered
    World
    Description

    Monthly U.S. citizen departures are collected and reported in Tourism Industries U.S. International Air Travel Statistics (I-92 data) Program.

  2. Main obstacles for female travelers to go on a solo trip worldwide 2023

    • statista.com
    Updated May 14, 2024
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    Statista (2024). Main obstacles for female travelers to go on a solo trip worldwide 2023 [Dataset]. https://www.statista.com/statistics/1304128/female-solo-travelers-main-obstaclessolo-trip-worldwide/
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    Dataset updated
    May 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    According to a 2023 global survey, higher costs and personal safety ranked as the main obstacles for female travelers to go on a solo trip. Overall, 65 percent and 61 percent of respondents, respectively, stated so. Not having someone to share the trip with and the fear of getting lost were other common obstacles that year.

  3. U

    United States US: International Tourism: Number of Departures

    • ceicdata.com
    Updated Nov 27, 2021
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    United States US: International Tourism: Number of Departures [Dataset]. https://www.ceicdata.com/en/united-states/tourism-statistics/us-international-tourism-number-of-departures
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    United States
    Variables measured
    Tourism Statistics
    Description

    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;

  4. Gen Z and millennials' motivations to travel solo worldwide 2024

    • statista.com
    Updated Jan 20, 2025
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    Statista (2025). Gen Z and millennials' motivations to travel solo worldwide 2024 [Dataset]. https://www.statista.com/statistics/1477285/gen-z-millennials-solo-travel-motivations-worldwide/
    Explore at:
    Dataset updated
    Jan 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 31, 2024 - Feb 8, 2024
    Area covered
    Worldwide
    Description

    A February 2024 global study investigated the motivations of Gen Z and millennial travelers to take a solo trip. Overall, a third of respondents mentioned treating themselves to something special and reconnecting with themselves as motivations to travel alone.

  5. T

    Trips by Distance

    • data.bts.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Apr 30, 2024
    + more versions
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    Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland (2024). Trips by Distance [Dataset]. https://data.bts.gov/Research-and-Statistics/Trips-by-Distance/w96p-f2qv
    Explore at:
    csv, json, tsv, application/rssxml, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Apr 30, 2024
    Dataset authored and provided by
    Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    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 mobility statistics program.

    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.

    These data are made available under a public domain license. Data should be attributed to the "Maryland Transportation Institute and Center for Advanced Transportation Technology Laboratory at the University of Maryland and the United States Bureau of Transportation Statistics."

    Daily data for a given week will be uploaded to the BTS website within 9-10 days of the end of the week in question (e.g., data for Sunday September 17-Saturday September 23 would be updated on Tuesday, October 3). All BTS visualizations and tables that rely on these data will update at approximately 10am ET on days when new data are received, processed, and uploaded.

    The methodology used to develop these data can be found at: https://rosap.ntl.bts.gov/view/dot/67520.

  6. Frequency of leisure travel in the U.S. 2024, by age

    • statista.com
    Updated Aug 6, 2024
    + more versions
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    Statista (2024). Frequency of leisure travel in the U.S. 2024, by age [Dataset]. https://www.statista.com/statistics/1482433/leisure-travel-frequency-by-age-us/
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    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 30, 2024
    Area covered
    United States
    Description

    A 2024 survey of adults in the United States found that 19 percent of respondents aged 30 to 44 traveled annually internationally or to other U.S. regions. In contrast, 29 percent of individuals in the same age group reported that they never traveled.

  7. b

    Travel Datasets

    • brightdata.com
    .json, .csv, .xlsx
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    Bright Data, Travel Datasets [Dataset]. https://brightdata.com/products/datasets/travel
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    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.
    
  8. S

    Sweden SE: International Tourism: Expenditures: for Travel Items

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: International Tourism: Expenditures: for Travel Items [Dataset]. https://www.ceicdata.com/en/sweden/tourism-statistics/se-international-tourism-expenditures-for-travel-items
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Sweden
    Variables measured
    Tourism Statistics
    Description

    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;

  9. U

    United States US: International Tourism: Expenditures: for Travel Items

    • ceicdata.com
    Updated Nov 27, 2021
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    United States US: International Tourism: Expenditures: for Travel Items [Dataset]. https://www.ceicdata.com/en/united-states/tourism-statistics/us-international-tourism-expenditures-for-travel-items
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Tourism Statistics
    Description

    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;

  10. Percentage of people that prefer to travel as a group, by generation in the...

    • statista.com
    Updated Mar 16, 2021
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    Statista (2021). Percentage of people that prefer to travel as a group, by generation in the U.S. 2017 [Dataset]. https://www.statista.com/statistics/938978/people-who-prefer-to-travel-as-a-group-by-generation-us/
    Explore at:
    Dataset updated
    Mar 16, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 17, 2017 - Nov 22, 2017
    Area covered
    United States
    Description

    This statistic shows the share of people who prefer to travel as a group, by generation, in the United States in 2017. During the survey, 39 percent of millennial respondents stated that they prefer to travel as a group.

  11. Overseas travel and tourism, monthly

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 18, 2024
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    Office for National Statistics (2024). Overseas travel and tourism, monthly [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/leisureandtourism/datasets/monthlyoverseastravelandtourismreferencetables
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Oct 18, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  12. Global Travel Dataset | Airfare trends, Hotel pricing, Customer Reviews Data...

    • datarade.ai
    .json, .xml, .csv
    Updated Apr 3, 2013
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    PromptCloud (2013). Global Travel Dataset | Airfare trends, Hotel pricing, Customer Reviews Data | Recurring Custom Scraping | Travel Data | PromptCloud [Dataset]. https://datarade.ai/data-products/global-travel-dataset-airfare-trends-hotel-pricing-popula-promptcloud
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset updated
    Apr 3, 2013
    Dataset authored and provided by
    PromptCloud
    Area covered
    Israel, Lesotho, Virgin Islands (British), Ireland, Tuvalu, Côte d'Ivoire, Ukraine, Aruba, Bangladesh, Anguilla
    Description

    PromptCloud offers unparalleled data extraction services, enabling businesses to access real-time, comprehensive data from the global travel industry. Our Global Travel Data Dataset is a fundamental resource for companies aiming to understand and capitalize on travel market trends. It provides insights into airfare fluctuations, hotel pricing strategies, traveler preferences, and destination popularity. This dataset is invaluable for tracking industry movements, understanding customer sentiment, and staying ahead in the competitive travel sector.

    We are committed to putting data at the heart of your business. Reach out for a no-frills PromptCloud experience- professional, technologically ahead and reliable.

    Beyond basic travel data, PromptCloud caters to a wide range of travel-related data needs, from airline databases to hotel aggregators. Our advanced web scraping services are fully customizable, allowing clients to choose their data sources, collection frequencies, and specific data points. This flexibility ensures that our data extraction solutions are perfectly tailored to each client's unique requirements. Our sophisticated data aggregation technology allows for efficient extraction from multiple travel sources, making it ideal for travel agencies, hoteliers, and market researchers.

    Leveraging over a decade of experience in travel data extraction, PromptCloud stands as an authoritative source in the field. We ensure the highest data quality and reliability, with a rigorous verification process that underscores our commitment to accuracy and trustworthiness.

  13. Purpose of travel

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 28, 2024
    + more versions
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    Department for Transport (2024). Purpose of travel [Dataset]. https://www.gov.uk/government/statistical-data-sets/nts04-purpose-of-trips
    Explore at:
    Dataset updated
    Aug 28, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    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 contact us.

    Trips, stages, distance and time spent travelling

    NTS0403: https://assets.publishing.service.gov.uk/media/66be28fa3effd5b79ba49199/nts0403.ods">Average number of trips, miles and time spent travelling by trip purpose: England, 1995 onwards (ODS, 56.4 KB)

    NTS0407: https://assets.publishing.service.gov.uk/media/66be28fab45d6a81cd314723/nts0407.ods">Long distance trips within Great Britain by purpose and length: English households, 2002 onwards (ODS, 43.7 KB)

    NTS0408: https://assets.publishing.service.gov.uk/media/66be28fac32366481ca491ae/nts0408.ods">Purpose of next trip by sex and previous trip: England, 2002 onwards (ODS, 45.2 KB)

    NTS0409: https://assets.publishing.service.gov.uk/media/66be28fac909b91981323efc/nts0409.ods">Average number of trips and distance travelled by purpose and main mode: England, 2002 onwards (ODS, 105 KB)

    Employment status

    NTS0412: https://assets.publishing.service.gov.uk/media/66be28fa3cc0741b9231471f/nts0412.ods">Commuter trips and distance by employment status and main mode: England, 2002 onwards (ODS, 53.8 KB)

    Travel purpose by start time and day of the week

    NTS0502: https://assets.publishing.service.gov.uk/media/66be28fac909b91981323efd/nts0502.ods">Trip start time by trip purpose (Monday to Friday only): England, 2002 onwards (ODS, 146 KB)

    NTS0504: https://assets.publishing.service.gov.uk/media/66be28fa0a079b65ea323eda/nts0504.ods">Average number of trips by day of the week or month and purpose or main mode: England, 2002 onwards (ODS, 141 KB)

    Travel purpose by age and gender

    NTS0611: https://assets.publishing.service.gov.uk/media/66be28fa0a079b65ea323edb/nts0611.ods">Average nu

  14. Travel and Tourism Council Data

    • data.subak.org
    csv
    Updated Feb 16, 2023
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    World Travel and Tourism Council (2023). Travel and Tourism Council Data [Dataset]. https://data.subak.org/dataset/travel-and-tourism-council-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 16, 2023
    Dataset provided by
    World Travel and Tourism Councilhttp://wttc.org/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Travel amp Tourism is a truly global economic activity ndash one which takes place in destinations across the world, from leading capital cities and smaller towns and villages in rural and coastal areas, to some of the remotest points on the planet It is one of the world rsquo s largest industries, or economic sectors, contributing trillions of dollars annually to the global economy, creating jobs and wealth, generating exports, boosting taxes and stimulating capital investment

  15. d

    Canadian Travel to the U.S. (Canadian Statistics) Program

    • catalog.data.gov
    Updated Feb 25, 2023
    + more versions
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    International Trade Administration (2023). Canadian Travel to the U.S. (Canadian Statistics) Program [Dataset]. https://catalog.data.gov/dataset/canadian-travel-to-the-u-s-canadian-statistics-program
    Explore at:
    Dataset updated
    Feb 25, 2023
    Dataset provided by
    International Trade Administration
    Area covered
    Canada, United States
    Description

    Monthly and annual Canadian arrivals of one or more nights to the U.S. are provided by Statistics Canada for analysis and reporting. A limited amount of U.S. resident travel to Canada is also reported at a monthly level. Monthly level data are reported by mode of transportation with a 3-4 month lag time. Annual data are made available to Tourism Industries at the end of May and a written report with graphics and spreadsheets is generally available in the late summer. The annual report analyzes travelers by province of origin, season of travel, mode of transportation, etc.

  16. M

    Iran Tourism Statistics 1995-2025

    • macrotrends.net
    csv
    Updated Feb 28, 2025
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    MACROTRENDS (2025). Iran Tourism Statistics 1995-2025 [Dataset]. https://www.macrotrends.net/global-metrics/countries/IRN/iran/tourism-statistics
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1995 - Mar 22, 2025
    Area covered
    Iran
    Description

    International tourism receipts are expenditures by international inbound visitors, including payments to national carriers for international transport. These receipts include any other prepayment made for goods or services received in the destination country. They also may include receipts from same-day visitors, except when these are important enough to justify separate classification. For some countries they do not include receipts for passenger transport items. Data are in current U.S. dollars.

  17. Air Travel - Domestic

    • catalog.data.gov
    • data.virginia.gov
    Updated Jan 16, 2025
    + more versions
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    Bureau of Transportation Statistics (2025). Air Travel - Domestic [Dataset]. https://catalog.data.gov/dataset/air-travel-domestic
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    Bureau of Transportation Statisticshttp://www.rita.dot.gov/bts
    Description

    The Bureau of Transportation Statistics releases non-seasonally adjusted air traffic data based on monthly reports from commercial U.S. air carriers.

  18. Travel Estimated Sales by Platforms

    • aftership.com
    Updated Jul 27, 2024
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    AfterShip (2024). Travel Estimated Sales by Platforms [Dataset]. https://www.aftership.com/ecommerce/statistics/stores/travel
    Explore at:
    Dataset updated
    Jul 27, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    The chart provides an insightful analysis of the estimated sales amounts for Travel stores across various platforms. WooCommerce stands out, generating a significant portion of sales with an estimated amount of $24.11B, which is 37.57% of the total sales in this category. Following closely, Custom Cart accounts for $23.27B in sales, making up 36.26% of the total. Shopify also shows notable performance, contributing $6.42B to the total sales, representing 10.00%. This data highlights the sales dynamics and the varying impact of each platform on the Travel market.

  19. Number of Vietnamese traveling abroad 2010-2022

    • statista.com
    Updated Jun 5, 2024
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    Statista (2024). Number of Vietnamese traveling abroad 2010-2022 [Dataset]. https://www.statista.com/statistics/727208/number-of-outbound-travelers-vietnam/
    Explore at:
    Dataset updated
    Jun 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Vietnam
    Description

    In 2022, over 94.4 thousand Vietnamese people traveled abroad. From 2013 to 2019, the number of Vietnamese traveling abroad had been increasing yearly. However, this number decreased significantly in 2020 and 2021 due to the impact of the COVID-19 pandemic and its related travel restrictions. Starting from 2022, tourism in Vietnam was expected to rebound as the pandemic was brought under control and borders were reopened.

  20. S

    Sweden SE: International Tourism: Number of Arrivals

    • ceicdata.com
    Updated Aug 9, 2021
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    Sweden SE: International Tourism: Number of Arrivals [Dataset]. https://www.ceicdata.com/en/sweden/tourism-statistics/se-international-tourism-number-of-arrivals
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    Dataset updated
    Aug 9, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Sweden
    Variables measured
    Tourism Statistics
    Description

    Sweden SE: International Tourism: Number of Arrivals data was reported at 6,782,000.000 Person in 2016. This records an increase from the previous number of 6,482,000.000 Person for 2015. Sweden SE: International Tourism: Number of Arrivals data is updated yearly, averaging 4,702,500.000 Person from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 6,782,000.000 Person in 2016 and a record low of 2,310,000.000 Person in 1995. Sweden SE: 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 Sweden – Table SE.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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International Trade Administration (2023). Monthly Tourism Statistics: Outbound Travel by World Regions [Dataset]. https://catalog.data.gov/dataset/monthly-tourism-statistics-outbound-travel-by-world-regions-3bd0d

Monthly Tourism Statistics: Outbound Travel by World Regions

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Dataset updated
Feb 25, 2023
Dataset provided by
International Trade Administration
Area covered
World
Description

Monthly 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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