100+ datasets found
  1. O

    ACT HTS - 06 Demographics of Travel (2022)

    • data.act.gov.au
    csv, xlsx, xml
    Updated May 2, 2025
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    TCCS Data Capability (2025). ACT HTS - 06 Demographics of Travel (2022) [Dataset]. https://www.data.act.gov.au/Transport/ACT-HTS-06-Demographics-of-Travel-2022-/fq54-xp4j
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    TCCS Data Capability
    License

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

    Description

    This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page.

    About the Travel Demographics theme The data shown replicates the dashboard 'Method of travel' theme, with additional filters applied for demographic attributes. This includes people's gender, age, licence holding status and household income level.

    Notes: - The small sample size (approximately 1 per cent) of people who either did not report their gender, or who did not identify as male or female, prevented their analysis as a distinct cohort group. Responses from these participants have been randomly allocated to the male and female groups.

    • Household income quartiles are derived by a summation of individual income ranges. As no adjustment has been made for household size, single person households are over-represented in the lowest income quartile. The quartile ranges have been calculated separately for each survey year.

    • An employment status of 'Not in workforce' is only applied to children. Retired people will be classed as 'Not employed'.

    Note that the tables provided represent a small subset of data available. Only the number and proportion of trips are shown; use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed.

    Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns.

    In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. Trip time periods are assigned using the mid point of travel: - AM peak (8am to 9am), PM peak (5pm to 6pm), Interpeak (9am to 5pm), Off-peak (after 6pm)

    The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage]

    Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval)

    Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. [>More information about CC BY]

  2. Monthly Tourism Statistics: Outbound Travel by World Regions

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • datasets.ai
    • +1more
    Updated Feb 25, 2023
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    International Trade Administration (2023). Monthly Tourism Statistics: Outbound Travel by World Regions [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/monthly-tourism-statistics-outbound-travel-by-world-regions-3bd0d
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    Dataset updated
    Feb 25, 2023
    Dataset provided by
    International Trade Administrationhttp://trade.gov/
    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.

  3. Europeans planning domestic or European trips in the next six months 2025,...

    • statista.com
    Updated Jul 22, 2025
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    Statista (2025). Europeans planning domestic or European trips in the next six months 2025, by age [Dataset]. https://www.statista.com/statistics/1230467/travel-intentions-of-europeans-by-age-group/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 27, 2025 - Jun 10, 2025
    Area covered
    Europe
    Description

    A June 2025 survey focusing on the travel intentions of Europeans showed that ** percent of respondents aged 55 years and older planned to likely or very likely take an overnight trip domestically or in Europe in the following six months. Meanwhile, ** percent of travelers surveyed aged 18 to 24 reported the same.

  4. U

    United States US: International Tourism: Number of Departures

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: International Tourism: Number of Departures [Dataset]. https://www.ceicdata.com/en/united-states/tourism-statistics/us-international-tourism-number-of-departures
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    Dataset updated
    Feb 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, 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;

  5. f

    Summary statistics for respondent demographics and travel experience (n =...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jun 7, 2017
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    Tyner, Wallace E.; Ruple, Audrey; Dominick, S. R.; Widmar, Nicole J. Olynk (2017). Summary statistics for respondent demographics and travel experience (n = 964). [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001836530
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    Dataset updated
    Jun 7, 2017
    Authors
    Tyner, Wallace E.; Ruple, Audrey; Dominick, S. R.; Widmar, Nicole J. Olynk
    Description

    Summary statistics for respondent demographics and travel experience (n = 964).

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

    • statista.com
    Updated Jun 27, 2025
    + more versions
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    Statista (2025). 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
    Jun 27, 2025
    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 ** percent of respondents aged 30 to 44 traveled annually internationally or to other U.S. regions. In contrast, ** percent of individuals in the same age group reported that they never traveled.

  7. TOURIST DEMOGRAPHIC PROFILE : AGE GROUP - Dataset - MAMPU

    • archive.data.gov.my
    Updated Oct 22, 2018
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    archive.data.gov.my (2018). TOURIST DEMOGRAPHIC PROFILE : AGE GROUP - Dataset - MAMPU [Dataset]. https://archive.data.gov.my/data/dataset/tourist-demographic-profile-age-group
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    Dataset updated
    Oct 22, 2018
    Dataset provided by
    Data.govhttps://data.gov/
    License

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

    Description

    TOURIST DEMOGRAPHIC PROFILE : AGE GROUP SOURCE : DEPARTING VISITOR SURVEY, TOURISM MALAYSIA

  8. U

    United States US: International Tourism: Number of Arrivals

    • ceicdata.com
    Updated Mar 15, 2009
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    CEICdata.com (2009). United States US: International Tourism: Number of Arrivals [Dataset]. https://www.ceicdata.com/en/united-states/tourism-statistics/us-international-tourism-number-of-arrivals
    Explore at:
    Dataset updated
    Mar 15, 2009
    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: 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;

  9. d

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

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    Updated Feb 25, 2023
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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
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    Dataset updated
    Feb 25, 2023
    Dataset provided by
    International Trade Administration
    Area covered
    United States, Canada
    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.

  10. f

    Demographics, co-morbidities, and history of travel.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Feb 21, 2013
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    Tan, Adriana S.; Nwe, Ni Win; Leo, Yee Sin; Barkham, Timothy; Tay, Seow Yian; Ong, Adrian K.; Chen, Mark I.; Lin, Li (2013). Demographics, co-morbidities, and history of travel. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001716023
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    Dataset updated
    Feb 21, 2013
    Authors
    Tan, Adriana S.; Nwe, Ni Win; Leo, Yee Sin; Barkham, Timothy; Tay, Seow Yian; Ong, Adrian K.; Chen, Mark I.; Lin, Li
    Description

    *2-sided p-value by Student's t test.†2-sided p-value by chi-squared test or Fisher's exact test‡Includes diabetes, asthma (excluding childhood asthma), COPD (chronic obstructive pulmonary disease), chronic bronchitis, cardiovascular disease (excluding hypertension) and conditions possibly causing an immuno-compromised state

  11. U.S. International Air Travel Statistics (I-92 data) Program

    • s.cnmilf.com
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Feb 25, 2023
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    International Trade Administration (2023). U.S. International Air Travel Statistics (I-92 data) Program [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/u-s-international-air-travel-statistics-i-92-data-program
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    Dataset updated
    Feb 25, 2023
    Dataset provided by
    International Trade Administrationhttp://trade.gov/
    Area covered
    United States
    Description

    Information on international air traffic between the United States and other countries. Provides publications for a fee.

  12. 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
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    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.

  13. S

    Space Tourism Statistics By Country, Demographics And Revenue (2025)

    • sci-tech-today.com
    Updated Jun 26, 2025
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    Sci-Tech Today (2025). Space Tourism Statistics By Country, Demographics And Revenue (2025) [Dataset]. https://www.sci-tech-today.com/stats/space-tourism-statistics-updated/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Space Tourism Statistics:​ Space tourism, once a concept confined to science fiction, is rapidly transitioning into a tangible experience for private individuals. As of April 2025, approximately 60 individuals have journeyed into space as tourists, primarily on brief suborbital flights that offer a few minutes of weightlessness.

    The cost of these experiences varies significantly: suborbital trips range from USD 200,000 to USD 500,000, while orbital missions, such as those to the International Space Station, can exceed USD 55 million per seat. In 2025 alone, an estimated 250 to 400 individuals are expected to embark on spaceflights, highlighting the growing interest and accessibility in this sector.

    Companies like Blue Origin have already conducted 11 human spaceflights, transporting 58 passengers, including notable figures such as Katy Perry and Gayle King. As technological advancements continue and costs potentially decrease, space tourism is poised to become an increasingly prevalent facet of human exploration beyond Earth

    Let's explore these developments through the following Space Tourism Statistics.

  14. D

    Leisure Travel Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Leisure Travel Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/leisure-travel-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Leisure Travel Market Outlook



    The global leisure travel market size was valued at USD 2.5 trillion in 2023 and is projected to reach USD 4.9 trillion by 2032, growing at a compound annual growth rate (CAGR) of 7.1% from 2024 to 2032. The growth of this market is driven by factors such as increasing disposable incomes, rising awareness of the benefits of travel, and technological advancements in booking systems. The leisure travel industry is witnessing a significant transformation with more personalized experiences, sustainability-focused offerings, and a surge in interest from younger generations.



    One of the primary growth factors for the leisure travel market is the increasing disposable income across various demographics. Emerging economies, particularly in Asia Pacific and Latin America, are witnessing a rise in middle-class populations with increased spending power. This shift in income levels allows more individuals and families to allocate funds for vacations and leisure activities. Additionally, the rise in dual-income households in developed regions has bolstered the propensity to spend on leisure travel, further driving market growth.



    Technological advancements have also played a crucial role in propelling the leisure travel market forward. The advent of online travel agencies (OTAs), mobile applications, and advanced booking platforms has revolutionized how consumers plan and book their trips. These platforms offer a seamless and user-friendly experience, allowing travelers to compare prices, read reviews, and make informed decisions. Moreover, the integration of artificial intelligence and machine learning in these platforms enables personalized recommendations, enhancing the overall travel experience for consumers.



    Another significant factor contributing to the growth of the leisure travel market is the increasing awareness of the mental and physical health benefits associated with travel. Studies have shown that taking vacations can reduce stress, improve mental health, and boost overall well-being. As a result, more individuals are prioritizing travel as an essential component of their lifestyle. Additionally, the rise of social media has amplified the desire to explore new destinations, with travel influencers and bloggers inspiring a broader audience to embark on leisure trips.



    As the leisure travel market continues to evolve, sustainable traveling has emerged as a pivotal trend shaping the industry's future. With increasing awareness about environmental conservation, travelers are now more inclined towards eco-friendly travel options that minimize their carbon footprint. This shift is encouraging travel companies to adopt sustainable practices, such as offering carbon-neutral flights, promoting eco-friendly accommodations, and supporting local communities. By integrating sustainability into their offerings, the travel industry not only caters to the growing demand for responsible tourism but also contributes to the preservation of natural and cultural heritage. This trend is particularly appealing to younger generations who prioritize sustainability in their travel choices, further driving the market's growth.



    From a regional perspective, Asia Pacific is expected to witness the highest growth rate in the leisure travel market during the forecast period. The region's rapid economic development, coupled with a growing middle-class population, is driving the demand for leisure travel. Countries such as China, India, and Southeast Asian nations are becoming increasingly popular travel destinations due to their rich cultural heritage, diverse landscapes, and affordable travel options. North America and Europe also hold significant market shares, driven by high disposable incomes, well-established tourism infrastructures, and a strong inclination towards travel and exploration.



    Type Analysis



    In the leisure travel market, the type segment is divided into solo travel, group travel, family travel, and others. Solo travel has gained immense popularity in recent years, particularly among millennials and Gen Z. The desire for self-discovery, independence, and personalized experiences drives this trend. Solo travelers often seek unique, off-the-beaten-path destinations, challenging traditional tourism hotspots. The rise of digital nomadism, where individuals work remotely while exploring new places, has further fueled this segment's growth. Travel agencies and platforms are increasingly offering tailored packages

  15. a

    Percent of Employed Population with Travel Time to Work of 30-44 Minutes

    • vital-signs-bniajfi.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 16, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Percent of Employed Population with Travel Time to Work of 30-44 Minutes [Dataset]. https://vital-signs-bniajfi.hub.arcgis.com/maps/b87019e9224d40a1afef36ddedf59d0f
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    Dataset updated
    Mar 16, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of commuters that spend between 30 and 44 minutes traveling to work out of all commuters aged 16 and above. Source: American Community SurveyYears Available: 2007-2011, 2008-2012, 2009-2013, 2010-2014, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2016-2020, 2017-2021, 2018-2022. 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html

  16. Travel arrangements: Online purchasing in Great Britain 2019, by demographic...

    • statista.com
    Updated Mar 24, 2025
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    Statista (2025). Travel arrangements: Online purchasing in Great Britain 2019, by demographic [Dataset]. https://www.statista.com/statistics/286109/travel-arrangements-online-purchasing-in-great-britain-by-demographic/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United Kingdom, Great Britain
    Description

    This statistic displays the results of a survey on the share of individuals in Great Britain who used the internet in order to make travel arrangements in 2019, by age and gender. The survey was conducted via interviews and gathered data from 1,800 households, providing a nationally representative sample of households in Great Britain. Households were sampled monthly and estimates are subject to sampling variability. Making travel arrangements online was most common among the 25 to 34 year old demographic, with 57 percent of individuals within this group having made travel arrangement purchases (eg transport tickets, car hire) online in 2019. The smallest proportion of people who did so was among people 65 years and older. A forecast of the digital travel sales worldwide predicts that online travel arrangement purchases will increase. Travel arrangements category was the fifth most popular type of goods and services purchased online in Great Britain in 2017. Further information on the travel market in the United Kingdom can be found in the Dossier: Holiday travel in the United Kingdom.

  17. 2018 Census Main means of travel to work by Statistical Area 2

    • datafinder.stats.govt.nz
    csv, dbf (dbase iii) +4
    Updated Jun 14, 2020
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    Stats NZ (2020). 2018 Census Main means of travel to work by Statistical Area 2 [Dataset]. https://datafinder.stats.govt.nz/table/104720-2018-census-main-means-of-travel-to-work-by-statistical-area-2/
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    csv, geodatabase, mapinfo mif, geopackage / sqlite, mapinfo tab, dbf (dbase iii)Available download formats
    Dataset updated
    Jun 14, 2020
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Description

    The 2018 Census commuter view dataset contains the employed census usually resident population count aged 15 years and over by statistical area 2 for the main means of travel to work variable from the 2018 Census. The geography corresponds to 2018 boundaries.

    This dataset is the base data for the ‘There and back again: our daily commute’ competition.

    This 2018 Census commuter view dataset is displayed by statistical area 2 geography and contains from-to (journey) information on an individual's usual residence and workplace address* by main means of travel to work.

    * Workplace address is coded from information supplied by respondents about their workplaces. Where respondents do not supply sufficient information, their responses are coded to ‘not further defined’. The 2018 Census commuter view datasets excludes these ‘not further defined’ areas, as such the sum of the counts for each region in this dataset may not be equal to the total employed census usually resident population count aged 15 years and over for that region.

    It is recommended that this dataset be downloaded as either a CSV or a file geodatabase.

    This dataset can be used in conjunction with the following spatial files by joining on the statistical area 2 code values:

    · Statistical Area 2 2018 (generalised)

    · Statistical Area 2 2018 (Centroid Inside)

    The data uses fixed random rounding to protect confidentiality. Counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of -999 indicate suppressed data.

    Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.

    For information on the statistical area 2 geography please refer to the Statistical standard for geographic areas 2018.

  18. a

    US County Demographics

    • uidaho.hub.arcgis.com
    Updated Oct 7, 2024
    + more versions
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    University of Idaho (2024). US County Demographics [Dataset]. https://uidaho.hub.arcgis.com/datasets/uidaho::geog-390-finding-data-assignment-may-brown-wfl1/about?layer=0
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    Dataset updated
    Oct 7, 2024
    Dataset authored and provided by
    University of Idaho
    Area covered
    United States,
    Description

    The IPUMS National Historical Geographic Information System (NHGIS) provides free online access to summary statistics and GIS files for U.S. censuses and other nationwide surveys from 1790 through the present. NHGIS boundary files are derived primarily from the U.S. Census Bureau's TIGER/Line files with numerous additions to represent historical (1790-1980) boundaries that do not appear in TIGER/Line files. For more recent boundary files (1990 or later), NHGIS typically makes only a few key changes to the TIGER/Line source: (1) we merge files that are available only for individual states or counties to produce new nationwide or statewide files, (2) we project the data into Esri's USA Contiguous Albers Equal Area Conic Projected Coordinate System, (3) add a GISJOIN attribute field, which supplies standard identifiers that correspond to the GISJOIN identifiers in NHGIS data tables, (4) we rename files to use the NHGIS naming style and geographic-level codes, (5) we add NHGIS-specific metadata, and (6) most substantially, we erase coastal water areas to produce polygons that terminate at the U.S. coasts and Great Lakes shores.NHGIS derived this shapefile from the U.S. Census Bureau's 2021 TIGER/Line Shapefiles.This layer contains data obtained from the following NHGIS tables at the county level:1. B02001. Race2. B01001. Sex by Age3. B08301. Means of Transportation to Work4. B25002. Occupancy Status5. B08303. Travel Time to Work

  19. v

    Global Domestic Tourism Market Size By Type of Destination, By Traveler...

    • verifiedmarketresearch.com
    Updated May 23, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Domestic Tourism Market Size By Type of Destination, By Traveler Demographics, By Travel Purpose, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/domestic-tourism-market/
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    Dataset updated
    May 23, 2024
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Domestic Tourism Market size was valued at USD 1,661.23 Billion in 2024 and is projected to reach USD 7,981.89 Billion by 2031, growing at a CAGR of 17.8% during the forecasted period 2024 to 2031

    Global Domestic Tourism Market Drivers

    Travel Preferences and Behaviour: The expansion of the domestic tourism market is facilitated by shifts in consumer preferences for domestic travel, which are influenced by things like familiarity, convenience, and perceived safety. Due to accessibility and shorter travel times, many travellers choose domestic locations for weekend breaks, family vacations, and quick travels.

    Government Support and Initiatives: Policies, plans, and efforts by the government to boost domestic travel are a major factor in the market's expansion. Infrastructure development, tax breaks, marketing efforts targeting domestic tourists, and subsidies are some of the ways to boost demand and entice people to visit their own nation's attractions.

    Economic Factors: Trends in domestic tourism are influenced by exchange rates, levels of disposable income, and economic stability. Consumers may have more disposable income to spend on leisure travel, including domestic travel, during prosperous economic times. In addition to lowering the cost of domestic travel for locals, favourable exchange rates for local currency can draw tourists from abroad.

    Travel limits and Border Controls: In reaction to international catastrophes like pandemics, natural disasters, or geopolitical tensions, travel limits, border closures, and quarantine procedures may be put in place. These measures may cause a shift in tourism towards local destinations. Travellers looking for alternatives or wanting to escape the unpredictability of foreign travel tend to favour domestic places.

    Promotion of Local Culture and Heritage: Travellers visiting their own country have the chance to learn about and take in its natural beauty, culture, and heritage. Promotional efforts that showcase regional landmarks, festivals, events, and historical locations inspire domestic tourists to explore and rediscover their own nation.

    Infrastructure Development: The allure and accessibility of domestic travel destinations are increased by investments in lodging, recreational opportunities, transit infrastructure, and lodging. Enhanced accessibility, modern facilities, and a wider range of products and services encourage more domestic travellers to visit and spend more money.

    Seasonal and Event-Based Tourism: Throughout the year, domestic travellers are drawn to particular areas by festivals, special occasions, and seasonal events. Events like music festivals, athletic competitions, cultural festivals, and holiday celebrations give the travel industry a chance to make money by taking advantage of the increased demand from tourists.

    Sustainability and Environmental Awareness: Travellers' increasing awareness of environmental issues affects their preferences for destinations and modes of transportation. Environmentally concerned travellers looking for responsible travel options are drawn to domestic tourism because it provides opportunity for sustainable travel experiences, such as eco-tourism, wildlife tourism, and nature-based activities.

    Digitalization and Online Booking Platforms: Planning, scheduling, and personalising domestic travel experiences is made easier by the widespread use of digital technologies and online booking platforms. Convenience and accessibility for domestic travel are increased by the ease with which travellers may research places, compare costs, read reviews, and make bookings online.

    Shifting Demographics and Lifestyles: Trends in domestic tourism are influenced by changing age tastes, demographic upheavals, and lifestyle changes. The need for domestic tourism products and services that are catered to the preferences of younger generations, particularly millennials, is being driven by their desire for distinctive and immersive travel experiences that are more accessible.

  20. G

    Canadian travel survey, travel in Canada, by age group

    • open.canada.ca
    • datasets.ai
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Canadian travel survey, travel in Canada, by age group [Dataset]. https://open.canada.ca/data/en/dataset/011015bb-f2f0-4e69-b4fb-53728b97d33a
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table contains 30 series, with data for years 1980 - 1996 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada), Travel duration (3 items: Total, same day and overnight travel; Same day; Overnight), Age group (10 items: All ages; Under 15 years; 15-19 years; 20-24 years; ...).

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TCCS Data Capability (2025). ACT HTS - 06 Demographics of Travel (2022) [Dataset]. https://www.data.act.gov.au/Transport/ACT-HTS-06-Demographics-of-Travel-2022-/fq54-xp4j

ACT HTS - 06 Demographics of Travel (2022)

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xlsx, csv, xmlAvailable download formats
Dataset updated
May 2, 2025
Dataset authored and provided by
TCCS Data Capability
License

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

Description

This spreadsheet replicates selected data tables from the ACT & Queanbeyan Household Travel Survey dashboard. Please refer to the attached spreadsheet on this page.

About the Travel Demographics theme The data shown replicates the dashboard 'Method of travel' theme, with additional filters applied for demographic attributes. This includes people's gender, age, licence holding status and household income level.

Notes: - The small sample size (approximately 1 per cent) of people who either did not report their gender, or who did not identify as male or female, prevented their analysis as a distinct cohort group. Responses from these participants have been randomly allocated to the male and female groups.

  • Household income quartiles are derived by a summation of individual income ranges. As no adjustment has been made for household size, single person households are over-represented in the lowest income quartile. The quartile ranges have been calculated separately for each survey year.

  • An employment status of 'Not in workforce' is only applied to children. Retired people will be classed as 'Not employed'.

Note that the tables provided represent a small subset of data available. Only the number and proportion of trips are shown; use of the dashboard or raw survey datasets allow more complex descriptions of travel to be developed.

Source data The data shown is not a Census of travel, but a large survey of several thousand households from across the ACT and Queanbeyan. As with any survey there will be some variability in the accuracy of the results, and how well they reflect the movement of the entire population. For instance, if the survey were to be completed on another day, or with a different subset of households, the results would be slightly different. Interpretations of the data should keep this variability in mind: these are estimates of the broad shape of travel only. Even for the same person, travel behaviour will vary according to many factors: day of week, month of year, season, weather, school holidays, illness, family responsibilities, work from home opportunities, etc. Again, by summarising the travel of many different people, the data provides a view of average weekday patterns.

In interpreting the data, it is worth noting the following points: - A zero cell does not necessarily mean the travel is never made, but rather that the survey participants did not make this travel on their particular survey day. - Values are rounded, and may not sum to the totals shown. Trip time periods are assigned using the mid point of travel: - AM peak (8am to 9am), PM peak (5pm to 6pm), Interpeak (9am to 5pm), Off-peak (after 6pm)

The survey is described on the Transport Canberra and City Services' website: [Household Travel Survey homepage]

Cell annotations and notes Some cells have annotations added to them, as follows: * : Statistically significant difference across survey years (at the 95% confidence level). Confidence intervals indicate where the true measure would typically fall if the survey were repeated multiple times (i.e., 95 times out of 100), recognising that each survey iteration may produce slightly different outcomes. ~ : Unreliable estimate (small sample or wide confidence interval)

Additional information Analysis by Sift Research, March 2025. Contact research@sift.group for further information. Enclosed data tables shared under a 'CC BY' Creative Commons licence. This enables users to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. [>More information about CC BY]

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