87 datasets found
  1. s

    Airbnb Guest Demographic Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Guest Demographic Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.

  2. s

    Airbnb Commission Revenue By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Commission Revenue By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.

  3. b

    Airbnb Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Aug 25, 2020
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    Business of Apps (2020). Airbnb Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/airbnb-statistics/
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    Dataset updated
    Aug 25, 2020
    Dataset authored and provided by
    Business of Apps
    License

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

    Description

    In 2007, a cash-strapped Brian Chesky came up with a shrewd way to pay his $1,200 San Francisco apartment rent. He would offer “Air bed and breakfast”, which consisted of three airbeds,...

  4. Airbnb users by age group in the U.S. and Europe 2017

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Airbnb users by age group in the U.S. and Europe 2017 [Dataset]. https://www.statista.com/statistics/796646/airbnb-users-by-age-us-europe/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe, United States
    Description

    In 2017, the majority of Airbnb users in the United States and Europe were between the ages ** to **. People in older age groups generally made up a smaller share of Airbnb users. Only **** percent of Airbnb users were aged 65 or older - indicating that Airbnb is more popular among younger users. Airbnb popularity The accommodation rental and sharing website Airbnb is gaining popularity all over the world. This can most likely be attributed to the company allowing for cheaper accommodation alternatives and a more personal experience of a location. In 2018, there were forecast be around ***** million Airbnb guest arrivals worldwide – and the average number of guests per listing was **. A survey found that ** percent of European and American Airbnb users were ‘very satisfied’ with their experience. On the other hand, *** percent stated that they were ‘somewhat dissatisfied’ or ‘not at all satisfied’ with using the accommodation sharing platform. Why not use Airbnb? Despite the large amount of people being satisfied with their Airbnb experience, there still remain people in Europe and the U.S. that do not want to use their service. A survey found that the most common reason for people not to use Airbnb was privacy concerns – with ** percent of the respondents expressing this concern.

  5. Estimated desktop vs. mobile revenue of leading OTAs worldwide 2023

    • statista.com
    • abripper.com
    • +1more
    Updated Feb 26, 2025
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    Statista Research Department (2025). Estimated desktop vs. mobile revenue of leading OTAs worldwide 2023 [Dataset]. https://www.statista.com/topics/2273/airbnb/
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    Dataset updated
    Feb 26, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    According to 2023 estimates, Booking Holdings' global revenue was evenly split between mobile and desktop bookings. As estimated, the online travel agency (OTA) generated revenue of roughly 10.8 billion U.S. dollars through mobile devices and 10.5 billion U.S. dollars via desktop bookings. In contrast, it was estimated that most of the Expedia Group and Airbnb's revenue came from desktop users that year. What are the most visited travel and tourism websites? In January 2024, booking.com topped the ranking of the most visited travel and tourism websites worldwide, ahead of tripadvisor.com and airbnb.com. When breaking down the visits to booking.com by country that month, the United States emerged as the leading market, followed by the United Kingdom and Germany. What are the most popular online travel agency apps worldwide? In 2024, Airbnb, Booking.com, and Expedia were among the most downloaded online travel agency apps worldwide. Booking.com is one of the leading brands of Booking Holdings, along with Priceline, Agoda, and Kayak. Meanwhile, Expedia is among the most popular brands of the Expedia Group, together with Vrbo, Hotels.com, and Trivago.

  6. Airbnb Accommodation Data Warehouse (2020 - 2024)

    • kaggle.com
    Updated Jul 15, 2025
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    OmenKj (2025). Airbnb Accommodation Data Warehouse (2020 - 2024) [Dataset]. https://www.kaggle.com/datasets/omenkj/airbnb-accommodation-data-warehouse-2020-2024
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 15, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    OmenKj
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    The Airbnb Accommodation Booking Data Warehouse (2020-2024) is a dataset for business intelligence, and it has a dimensional model comprising four dimension tables and one fact table.

    The Dim_Date table provides detailed date information from 2020 to 2024, including day, month, quarter, and weekday details for time-based analysis. The Dim_Host table captures information about property hosts, such as superhost status, total listings, and response times. Dim_Property contains details of accommodations, including location, property type, room type, number of rooms, and pricing. Dim_Customer includes customer demographics such as age group, gender, nationality, and customer segment.

    The central Fact_Bookings table records booking transactions, including revenue, nights booked, guests, and fees. Each booking links to specific hosts, customers, properties, and dates through foreign keys.

    The dataset supports multi-year analysis of booking trends, revenue performance, customer behaviour, and host activity. It enables insights into seasonal patterns, location performance, and customer segmentation, allowing for strategic decisions in pricing, marketing, and operational planning.

  7. Domestic to international Airbnb guests ratio France 2019-2020

    • statista.com
    • tokrwards.com
    • +1more
    Updated Jul 23, 2025
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    Statista (2025). Domestic to international Airbnb guests ratio France 2019-2020 [Dataset]. https://www.statista.com/statistics/1131995/france-domestic-to-international-airbnb-guest-ratio/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019 - May 2020
    Area covered
    France
    Description

    According to data from Airbtics.com, international guests staying at Airbnbs in France reached a 13-month low of ** percent of total travel as of May 2020, compared to **** percent in May 2019. The rate of international guests started to decrease in April 2020, as the COVID-19 outbreak restricted travel into the country.

  8. Number of Airbnb guest arrivals 2016-2018

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Number of Airbnb guest arrivals 2016-2018 [Dataset]. https://www.statista.com/statistics/996828/airbnb-total-number-of-guest-arrivals/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This statistic depicts the total number of Airbnb guest arrivals worldwide from 2016 to 2018. The total number of people residing in an Airbnb accommodation is forcast to amount to approximately ***** million in 2018, up from *** million the previous year.

  9. Mexico: share of local and foreign Airbnb guests 2019-2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Mexico: share of local and foreign Airbnb guests 2019-2020 [Dataset]. https://www.statista.com/statistics/1134093/airbnb-guest-share-origin-mexico/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019 - May 2020
    Area covered
    Mexico
    Description

    According to data from Airbtics.com, the share of international Airbnb guests in Mexico slightly surpassed domestic travelers in May 2020. In April, local tourists accounted for over half of the guests that used the popular online lodging platform, overturning the trend registered in previous months. From ************* to **********, the country registered the highest shares of domestic Airbnb guests, with figures above ** to nearly ** percent. In 2019, domestic spending accounted for ** percent of total spending on travel and tourism in Mexico.

  10. d

    Europe Travel Data | Airbnb vs. Hotels Sentiment & Spend | Accommodation...

    • datarade.ai
    .json, .csv, .xls
    Updated Aug 21, 2025
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    Rwazi (2025). Europe Travel Data | Airbnb vs. Hotels Sentiment & Spend | Accommodation Choice, Value, Authenticity, and Price Sensitivity | 20+ Demographic KPIs [Dataset]. https://datarade.ai/data-products/europe-travel-data-airbnb-vs-hotels-sentiment-spend-ac-rwazi
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Aug 21, 2025
    Dataset authored and provided by
    Rwazi
    Area covered
    Congo, Sint Eustatius and Saba, Bolivia (Plurinational State of), Ukraine, Saint Kitts and Nevis, Martinique, Malawi, Panama, Haiti, Namibia, Europe
    Description

    This data provides a detailed window into how travelers across Europe are making choices between Airbnb, boutique hotels, and chain hotels, and how those choices are influenced by perceived value, authenticity, and price sensitivity. It spans major tourism markets such as Paris, Barcelona, Rome, Berlin, Amsterdam, Vienna, Prague, Lisbon, Athens, and Dubrovnik, while layering in demographic details including age, income, and household type. By capturing these sentiment drivers alongside actual accommodation choice percentages, the data goes beyond occupancy statistics or market reports and instead reveals the deeper psychology of why travelers choose where to stay.

    At its heart, the data measures the trade-offs travelers make. Some value price above all else, seeking the cheapest option and showing high sensitivity to even small changes in nightly rates. Others prioritize authenticity, looking for cultural immersion, unique architecture, or a connection to the community, a sentiment often tied to boutique hotels or Airbnb stays. Still others rate perceived value, balancing comfort, service, and cost in ways that may lean toward chain hotels where consistency and loyalty programs come into play. By quantifying these three sentiment drivers alongside accommodation choice, the data enables a holistic view of the European hospitality landscape that is not just descriptive but predictive.

    For hotel operators, this data provides granular competitive intelligence. A chain hotel executive in Berlin can see not only how many travelers are opting for chain hotels versus Airbnb or boutiques, but also the sentiment scores that drive those choices. If authenticity consistently scores low for chain hotels, it suggests a strategic opening to localize offerings, integrate cultural experiences, or adjust marketing. Boutique hotel managers in Lisbon can benchmark how their authenticity score compares to Airbnb in the same city, providing evidence for whether they should double down on differentiation or compete more aggressively on price. Airbnb hosts and platform managers can assess whether travelers in cities like Athens or Dubrovnik are primarily choosing Airbnb for price sensitivity or for perceived authenticity, and then adjust host guidelines and search rankings to align with those motivations.

    Tourism boards and city governments can use this data to shape destination strategies. In cities where authenticity is highly valued, they may promote cultural experiences and boutique stays that highlight heritage and local life. In cities where price sensitivity dominates, they may anticipate pressure on affordability and design policies to balance visitor demand with resident quality of life. Tracking sentiment alongside accommodation choice allows policymakers to see whether interventions such as limiting Airbnb licenses or incentivizing boutique hotels are having the intended effect.

    For travel agencies and online booking platforms, this data provides immediate commercial value by informing recommendation algorithms. If Millennials traveling to Barcelona are shown to favor Airbnb due to high authenticity scores, platforms can tailor recommendations to match those preferences and increase conversion rates. If Boomers traveling to Vienna demonstrate high perceived value scores for chain hotels, agencies can design targeted campaigns that emphasize comfort, service, and reliability. By embedding demographic segmentation, the data enables personalization that goes beyond generic marketing and aligns with actual consumer psychology.

    Investors and financial analysts also gain critical foresight from this data. The growth of Airbnb has often been framed in broad, disruptive terms, but this data dissects the nuance of where Airbnb’s advantage comes from and how strong it is in different markets. In Amsterdam, for example, Airbnb may dominate with authenticity but show weaker perceived value compared to boutique hotels. In Prague, chain hotels may hold firm due to loyalty programs and price competitiveness. Understanding these dynamics city by city allows investors to make sharper decisions about where to allocate capital, which hotel groups are most resilient, and where regulatory risks may matter most.

    Marketing agencies and brand strategists can mine the sentiment scores for creative direction. A boutique hotel in Lisbon may craft campaigns around the theme of authenticity if the data shows that is the strongest differentiator for their target demographic. A chain hotel group in Rome might emphasize value and consistency if those resonate more strongly with middle-income families. Airbnb itself can use the data to position its brand differently across cities, leaning into affordability in one market and cultural immersion in another. The combination of quantitative percentages and sentiment scores creates a bridge between analytics and storytelling, enabling brands to market with evidence rather than assumption.

    The demo...

  11. b

    Airbnb Overview

    • bullfincher.io
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    Bullfincher, Airbnb Overview [Dataset]. https://bullfincher.io/companies/airbnb/overview
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    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    Airbnb, Inc., together with its subsidiaries, operates a platform that enables hosts to offer stays and experiences to guests worldwide. The company's marketplace model connects hosts and guests online or through mobile devices to book spaces and experiences. It primarily offers private rooms, primary homes, or vacation homes. The company was formerly known as AirBed & Breakfast, Inc. and changed its name to Airbnb, Inc. in November 2010. Airbnb, Inc. was founded in 2007 and is headquartered in San Francisco, California.

  12. Total global visitor traffic to Airbnb.com 2024

    • statista.com
    • thefarmdosupply.com
    Updated Aug 20, 2025
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    Statista (2025). Total global visitor traffic to Airbnb.com 2024 [Dataset]. https://www.statista.com/statistics/314867/airbnb-website-traffic/
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    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2023 - Mar 2024
    Area covered
    Worldwide
    Description

    In March 2024, over *** million unique global visitors visited Airbnb.com, up from **** million visitors in October 2023. Airbnb is an online marketplace for short-term holiday and travel rentals.

  13. Airbnb hosts and guests in the United Kingdom (UK) 2017-2018

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Airbnb hosts and guests in the United Kingdom (UK) 2017-2018 [Dataset]. https://www.statista.com/statistics/510116/airbnb-hosts-and-guests-united-kingdom-uk/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2017 - Jul 2018
    Area covered
    United Kingdom
    Description

    In the United Kingdom (UK) Airbnb had over *** thousand active listings in 2018. From July 2017 to July 2018 such Airbnb hosts welcomed a total of *** million guests into their accommodation. UK users of Airbnb outweighed the number of inbound guests, with **** million guests from the UK renting Airbnb properties in the UK and elsewhere.

    What is Airbnb?

    Airbnb is an online accommodation portal that allows hosts to list their properties for short term rental. The company was founded in San Francisco in 2008 by two entrepreneurs who came up with the idea when looking for ways to meet their high rental costs. Travelers like using Airbnb as it offers a cheaper alternative to hotels and gives them a more authentic experience. The company was valued at ** billion U.S dollars in 2018.

    Airbnb in London

    London is one the most popular cities in the world for Airbnb use: London had the highest number of Airbnb guest arrivals in Europe as of 2017, which is unsurprising considering it is one of the most visited tourist cities in the world. Compared to the rest of the UK, just over a third of active Airbnb listings were in London. The growth of Airbnb in London however was not without its problems. Like other cities, councils and communities raised concerns regarding the impact on the local housing supply and having control over who is living in the rentals. This led the Greater London Council to apply a 90-day limit on listings for entire homes in one year.

  14. Airbnb: direct economic impact in Europe 2018, by country

    • tokrwards.com
    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Airbnb: direct economic impact in Europe 2018, by country [Dataset]. https://tokrwards.com/?_=%2Fstatistics%2F1024216%2Fairbnb-direct-economic-impact-in-european-countries%2F%23D%2FIbH0PhabzN99vNwgDeng71Gw4euCn%2B
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Europe
    Description

    In Europe, the direct economic impact of Airbnb in 2018 was highest in France; There host earnings and guest spending was estimated to have contributed 10.8 billion U.S. dollars to the French economy. Airbnb hosts and guests in Spain and Italy had the next biggest impact, generating 6.9 billion and 6.4 billion U.S. dollars respectively.

  15. O

    Online Booking Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Aug 1, 2025
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    Data Insights Market (2025). Online Booking Service Report [Dataset]. https://www.datainsightsmarket.com/reports/online-booking-service-1462762
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Aug 1, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The online travel booking market, encompassing flight, hotel, and vacation rental reservations, is a dynamic and rapidly expanding sector. While precise figures for market size and CAGR were not provided, leveraging publicly available data and industry reports, we can estimate a 2025 market value of approximately $800 billion USD. This substantial valuation reflects the increasing preference for digital convenience in travel planning. The market's growth is fueled by several key drivers: the rising adoption of smartphones and mobile booking apps, the increasing affordability of international travel, a growing middle class in developing economies, and the continuous innovation in travel technology, offering personalized experiences and competitive pricing. Emerging trends include the integration of artificial intelligence for enhanced customer service and personalized recommendations, the rise of sustainable and responsible tourism impacting booking choices, and the increasing popularity of niche travel experiences. Restraints on market growth include economic downturns impacting discretionary spending, cybersecurity concerns related to online transactions, and the potential for regulatory changes impacting the industry. The market is segmented by booking type (flights, hotels, packages), customer demographics, and geographic region. Key players like Expedia, Booking Holdings, Airbnb, and MakeMyTrip are continually vying for market share through strategic partnerships, acquisitions, and technological advancements. The forecast period from 2025 to 2033 anticipates sustained growth in the online travel booking market, driven by the ongoing digital transformation in the travel industry. We estimate a compound annual growth rate (CAGR) of approximately 8% during this period. This growth is expected to be influenced by an increasing preference for mobile booking, further penetration in emerging markets, and the rise of innovative booking platforms catering to a wider range of traveler needs. However, potential challenges like geopolitical instability, fluctuating currency exchange rates, and unexpected events (like pandemics) could impact growth trajectories. Competition among established players and the emergence of new disruptive technologies will continue to shape the market landscape in the coming years. Strategic investments in technology, customer loyalty programs, and expanding partnerships will be crucial for companies to maintain a competitive edge in this ever-evolving market.

  16. Share of domestic and foreign Airbnb guests in California 2019-2020

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Share of domestic and foreign Airbnb guests in California 2019-2020 [Dataset]. https://www.statista.com/statistics/1137383/california-domestic-to-international-travel-ratio/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019 - May 2020
    Area covered
    California
    Description

    According to data from Airbtics.com, international Airbnb guests in California reached a 13-month low in May 2020, with only *** percent of guests coming from abroad. Comparatively, in May 2019, **** percent of Airbnb guests in California came from outside of the United States. This decrease in international guests began as travel restrictions due to the coronavirus (COVID-19) pandemic were implemented across the globe.

  17. a

    Paris, Airbnb Revenue Data 2025: Average Income & ROI

    • airbtics.com
    Updated Oct 3, 2025
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    Airbtics (2025). Paris, Airbnb Revenue Data 2025: Average Income & ROI [Dataset]. https://airbtics.com/annual-airbnb-revenue-in-paris-france/
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    Dataset updated
    Oct 3, 2025
    Dataset authored and provided by
    Airbtics
    Time period covered
    Sep 2024 - Aug 2025
    Area covered
    Paris
    Variables measured
    yield, annualRevenue, occupancyRate, averageDailyRate, numberOfListings, regulationStatus
    Description

    See the average Airbnb revenue & other vacation rental data in Paris in 2025 by property type & size, powered by Airbtics. Find top locations for investing.

  18. Guest nights, nights and stays for short-term lets, quarterly, UK

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated May 19, 2025
    + more versions
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    Office for National Statistics (2025). Guest nights, nights and stays for short-term lets, quarterly, UK [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/guestnightsnightsandstaysforshorttermletsuk
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    xlsxAvailable download formats
    Dataset updated
    May 19, 2025
    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

    Area covered
    United Kingdom
    Description

    The number of guest nights, nights, and stays for short-term lets offered through online collaborative economy platforms (Airbnb, Booking.com and Expedia Group).

  19. Brazil: share of local and foreign Airbnb guests 2019-2020

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Brazil: share of local and foreign Airbnb guests 2019-2020 [Dataset]. https://www.statista.com/statistics/1134009/airbnb-guest-share-origin-brazil/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019 - May 2020
    Area covered
    Brazil
    Description

    According to Airbtics.com, domestic travelers accounted for **** percent of Airbnb guests in Brazil in May 2020. In the previous month, when the COVID-19 pandemic was spreading rapidly in the country, the share of local Airbnb guests reached its highest since May 2019, with **** percent. On the other hand, March 2020 was the month that registered the largest share of international Airbnb guests in Brazil, with **** percent. In 2019, domestic tourism spending accounted for over ** percent of total tourism spending in Brazil.

  20. d

    Luxury Vacation Rentals Market Analysis, Trends, Growth, Industry Revenue,...

    • datastringconsulting.com
    pdf, xlsx
    Updated Jan 3, 2025
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    Datastring Consulting (2025). Luxury Vacation Rentals Market Analysis, Trends, Growth, Industry Revenue, Market Size and Forecast Report 2024-2034 [Dataset]. https://datastringconsulting.com/industry-analysis/luxury-vacation-rentals-market-research-report
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    xlsx, pdfAvailable download formats
    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Datastring Consulting
    License

    https://datastringconsulting.com/privacy-policyhttps://datastringconsulting.com/privacy-policy

    Time period covered
    2019 - 2034
    Area covered
    Global
    Description
    Report Attribute/MetricDetails
    Market Value in 2025USD 6.1 billion
    Revenue Forecast in 2034USD 10.4 billion
    Growth RateCAGR of 6.2% from 2025 to 2034
    Base Year for Estimation2024
    Industry Revenue 20245.7 billion
    Growth Opportunity USD 4.7 billion
    Historical Data2019 - 2023
    Forecast Period2025 - 2034
    Market Size UnitsMarket Revenue in USD billion and Industry Statistics
    Market Size 20245.7 billion USD
    Market Size 20276.8 billion USD
    Market Size 20297.7 billion USD
    Market Size 20308.2 billion USD
    Market Size 203410.4 billion USD
    Market Size 203511.0 billion USD
    Report CoverageMarket Size for past 5 years and forecast for future 10 years, Competitive Analysis & Company Market Share, Strategic Insights & trends
    Segments CoveredProperty Type, Pricing Tier, Length of Stay, User Demographics
    Regional ScopeNorth America, Europe, Asia Pacific, Latin America and Middle East & Africa
    Country ScopeU.S., Canada, Mexico, UK, Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Mexico, Argentina, Saudi Arabia, UAE and South Africa
    Top 5 Major Countries and Expected CAGR ForecastU.S., France, Italy, Spain, UK - Expected CAGR 4.0% - 6.0% (2025 - 2034)
    Top 3 Emerging Countries and Expected ForecastVietnam, Morocco, Colombia - Expected Forecast CAGR 7.1% - 8.6% (2025 - 2034)
    Top 2 Opportunistic Market SegmentsEstates and Penthouses Property Type
    Top 2 Industry TransitionsDigitalization Amplifies Customer Experience, Rise of Eco-Luxury Rentals
    Companies ProfiledAirbnb Luxe, Booking.com, Expedia, Villas of Distinction, Luxury Retreats, HomeAway, Vacasa, Turnkey Vacation Rentals, James Villa Holidays, Zillow, Vrbo and RedAwning
    CustomizationFree customization at segment, region, or country scope and direct contact with report analyst team for 10 to 20 working hours for any additional niche requirement (10% of report value)
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(2025). Airbnb Guest Demographic Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/

Airbnb Guest Demographic Statistics

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13 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 17, 2025
License

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

Description

The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.

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