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,...

Airbnb, a home sharing economy platform, gives users an alternative to traditional hotel accommodation by allowing them to rent accommodation from people who are willing to share their homes. The platform also allows consumers to book "experiences" in the regions they visit. In 2024, Airbnb reported over 492 million booked nights and experiences. How much revenue does Airbnb make? In 2024, the total revenue of Airbnb worldwide increased by nearly ten percent over the previous year. This continued the upward trend which the company has experienced since recovering from the coronavirus (COVID-19) pandemic. North America generated the highest share of Airbnb’s worldwide revenue in 2024, at five billion U.S. dollars. How many people visit the Airbnb website? Airbnb ranked third among the most popular travel and tourism websites worldwide based on average monthly visits, behind booking.com and tripadvisor.com. In 2024, airbnb.com saw its highest number of unique global visitors in March, at 101 million. Meanwhile, Airbnb ranked fourth among leading travel apps globally, with over 75 million downloads in 2024.

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

The total revenue of Airbnb reached 11.1 billion U.S. dollars in 2024. This was an increase over the previous year's total of 9.92 billion. The decrease in revenue in 2020 can be attributed to the coronavirus (COVID-19) pandemic, which caused travel disruption across the globe. When breaking down Airbnb revenue by region, North America, where Airbnb was founded, brought in the most revenue in 2024. Where are Airbnb’s biggest markets? Airbnb is a home sharing economy platform that operates in many countries around the world. The company’s biggest market is in North America where Airbnb’s gross booking value amounted to 37.8 billion U.S. dollars. Meanwhile, Latin American travelers stayed more nights with Airbnb on average than those in the Asia Pacific region. How did COVID-19 impact Airbnb? The COVID-19 pandemic impacted the travel and tourism industry worldwide, with many countries initiating stay at home orders or travel bans to prevent the spread of the virus. In addition to a decrease in revenue in 2020, the company also experienced a reduction in the number of nights and experiences booked with Airbnb. Bookings fell to under 200 million in 2020 due to these travel restrictions. In 2024, Airbnb reported over 492 million booked nights and experiences, a significant increase over the previous year.

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

Context

Since 2008, guests and hosts have used Airbnb to travel in a more unique, personalized way. As part of the Airbnb Inside initiative, this dataset describes the listing activity of homestays in Boston, MA.

Content

This data file includes all needed information to about the listing details, the host, geographical availability, and necessary metrics to make predictions and draw conclusions. Basic data cleaning has been done, such as dropping redundant features (ex: city) and converting amenities into a dictionary. The data includes both numerical and categorical data, as well as natural language descriptions.

Acknowledgements

This dataset is part of Airbnb Inside, and the original source can be found here.

Inspiration

• Listing visualization
• What features drive the price of a listing up?
• What can we learn about different hosts and areas?
• What can we learn from predictions? (ex: locations, prices, reviews, etc)
• Which hosts are the busiest and why?
• Is there any noticeable difference of traffic among different areas and what could be the reason for it?

Airbnb, a home sharing economy platform, gives users an alternative to traditional hotel accommodation by allowing them to rent accommodation from people who are willing to share their homes. North America averaged 4.1 nights per Airbnb booking in 2024, more than any other region that year

Context This dataset describes the listing activity and metrics in NYC, NY from 2008-2015.

Content This data file includes all the needed information to find out more about hosts, geographical availability, necessary metrics to make predictions and draw conclusions.

Acknowledgements This public dataset is part of Airbnb, and the original source can be found on this website.

Inspiration What can we learn about different hosts and areas? What can we learn from predictions? (ex: locations, prices, reviews, etc) Which hosts are the busiest and why? Is there any noticeable difference of traffic among different areas and what could be the reason for it?

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

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

Description

This dataset provides extensive information about Airbnb properties listed in Los Angeles, California. It offers a wealth of details suitable for analyzing short-term rental trends, exploring traveler behavior, and studying pricing dynamics within one of the most vibrant tourism markets in the U.S.

Dataset Context and Purpose

As Airbnb continues to impact urban rental markets, this dataset allows analysts, researchers, and real estate professionals to investigate how the short-term rental market shapes the local economy and influences housing availability. Users can leverage this dataset to perform location-based analysis, identify seasonal occupancy trends, and explore the popularity of amenities and property types.

Content

id: Unique identifier assigned to each property listing.

name: Property listing name as provided by the host.

host_id:Unique identifier assigned to the host of the property.

host_name:Name of the host associated with the property.

host_since:Date on which the host joined Airbnb.

host_response_time: Typical response time of the host to guest inquiries.

host_response_rate:Percentage of guest inquiries that the host responded to.

host_is_superhost: Indicates whether the host is a Superhost (True/False).

neighbourhood_cleansed: Neighborhood name where the property is located.

neighbourhood_group_cleansed: Standardized neighborhood group or district where the property is located.

latitude: Geographic latitude coordinate.

longitude: Geographic longitude coordinate.

property_type: Type of property.

room_type: Type of room offered (e.g., Entire home/apt, Private room, Shared room).

accommodates: Maximum number of guests that the property can accommodate.

bathrooms: Number of bathrooms in the property.

bedrooms: Number of bedrooms in the property.

beds: Number of beds in the property.

price: Total price based on minimum nights required for booking.

minimum_nights: Minimum number of nights required for a booking.

availability_365:Number of days the property is available for booking in the next 365 days.

number_of_reviews: Total number of reviews received for the property.

review_scores_rating: Average rating score based on guest reviews (5 is maximum value).

license: License, if applicable.

instant_bookable: Indicates whether guests can book the property instantly (True/False).

Inspiration

• Host Insights: Analyze host behavior, response times, and Superhost status to understand their impact on guest satisfaction and property performance.
• Property Characteristics: Identify popular property types, room types, and amenities, and how they correlate with pricing and occupancy rates.
• Neighborhood Analysis: Explore neighborhood-level trends in pricing, occupancy, and guest reviews to identify popular areas and potential investment opportunities.
• Pricing Strategies: Analyze factors influencing pricing, such as property type, location, amenities, and seasonality.

Source

This dataset is part of Inside Airbnb, Los Angeles California on September 04, 2024. Link found here

gradio/NYC-Airbnb-Open-Data dataset hosted on Hugging Face and contributed by the HF Datasets community

In New York City, one of the United States’ most iconic destinations, Airbnb has established itself as a key player in the accommodation market. In 2025, Airbnb customers booked an average of 47 nights per stay, with an average price of 119 U.S. dollars per night. Meanwhile, the average income per property was 7,062 U.S. dollars that year. Are Airbnb rentals expensive in New York City? As of early 2024, the most expensive Airbnb properties per night in the United States were in San Francisco. This was followed by Los Angeles and San Diego. In comparison, the average cost of a night’s stay at an Airbnb property in New York City is less than half of the cost of a night in San Francisco. How many Airbnb properties are there in New York City? In early 2024, the Airbnb market in New York City offered more than 39.7 thousand properties accommodating to the different needs of visitors to the city. There are various types of Airbnb properties in New York City, the most common of which were entire homes and apartments, followed by private rooms. The majority of Airbnb listings also catered for longer-term stays, in light of city regulations on housing.

Context

Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in NYC, NY for 2019.

Content

This data file includes all needed information to find out more about hosts, geographical availability, necessary metrics to make predictions and draw conclusions.

Acknowledgements

This public dataset is part of Airbnb, and the original source can be found on this website.

Inspiration

• What can we learn about different hosts and areas?
• What can we learn from predictions? (ex: locations, prices, reviews, etc)
• Which hosts are the busiest and why?
• Is there any noticeable difference of traffic among different areas and what could be the reason for it?

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

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

Global Airbnb KPI Business Data.

Data Collection Methodology:

The data source is web scraping. We have built validated statistics models to accurately identify the bookings

Data update frequency: Monthly

Data update lag: 15 days

Historical data: Since 2016

Granularity: Per continent, country, or city

Airbnb, a home sharing economy platform, gives users an alternative to traditional hotel accommodation by allowing them to rent accommodation from people who are willing to share their homes. In 2024, the North America region had the largest share of Airbnb's gross booking value, with 37.8 billion U.S. dollars.

The Google Maps mobile app reported the highest number of downloads worldwide among the selected travel apps in 2024. That year, this app recorded nearly 127 million aggregated downloads on iOS and Google Play. The Uber app was the second most downloaded app in the ranking, with almost 120 million downloads. The online travel agency app market Focusing on the online travel agency (OTA) market, Airbnb topped the ranking of the OTA apps with the highest number of downloads worldwide in 2024, ahead of Booking.com. When looking at the number of downloads of leading OTA apps in the U.S. that year, Airbnb recorded again the highest figure, while Expedia ranked second in that case. How big is the travel app market? In 2023, the travel app market's global revenue reached nearly 1.3 billion U.S. dollars and was forecast to increase steadily over the following years. When breaking down the global travel app market's revenue by country, the United States and China ranked by far as the biggest players that year, generating around 540 million and 380 million U.S. dollars, respectively.

This dataset contains accommodation offers from the AirBnb platform from 10 European cities. It has been copied from https://zenodo.org/record/4446043#.ZEV8d-zMI-R to make it available as a Huggingface Dataset. It was originally published as supplementary material for the article: Determinants of Airbnb prices in European cities: A spatial econometrics approach (DOI: https://doi.org/10.1016/j.tourman.2021.104319)