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. In 2024, the North America region had the largest share of Airbnb's gross booking value, with 37.8 billion U.S. dollars.

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

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

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

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

The region with the most nights and experiences booked with Airbnb worldwide in 2024 was Europe, the Middle East, and Africa (or EMEA). That year, the EMEA region reported 201 million bookings. Asia Pacific had the lowest number of bookings at 61 million. The Asia Pacific region also had the lowest average number of nights per Airbnb booking in 2024.

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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.

October 2014 - February 2019, Boston/Cambridge metro area July-August 2020, Venice Property Performance Data + Airbnb Review Data

This dataset, fetched via RapidAPI, contains Airbnb listing details, including IDs, availability, updates, and ratings—ideal for rental trend analysis, predictions, and machine learning applications.

This dataset contains details about Airbnb listings, including unique identifiers (airbnb_id), timestamps for the last update (last_updated), availability check (last_avail_check), and rating entry (last_ratings). Sourced from the RapidAPI Airbnb API, it provides valuable insights into listing activities over time, with data spanning from 2023 to 2024. The dataset allows users to track changes in listing availability, ratings, and updates, making it useful for performance monitoring, trend analysis, and optimization of Airbnb listings. It is suitable for researchers, hosts, or analysts interested in understanding listing dynamics and improving user engagement.

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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.

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.

Airbnb adoption is growing in Indonesian cities, yet little is known about how its spatial dynamics intersect with urban features and tourism economies in cities of the Global South. This study presents a systematic spatial analysis of Airbnb performance in Indonesia, with a focus on Jakarta and Bandung. Using detailed performance data from AirDNA, we employ spatial autocorrelation and spatial regression models, specifically the Spatial Lag Model (SLM) and Spatial Error Model (SEM), to investigate the potential impact of urban amenities on Airbnb revenue. Our findings reveal distinct city-specific dynamics: in Bandung, Airbnb revenue is positively associated with the presence of restaurants and hotels but negatively correlated with concentrated commercial centres such as shopping malls, reflecting the city’s culinary-driven tourism economy. In contrast, in Jakarta, Airbnb revenue is strongly linked to shopping centres and restaurants, while hotels show no significant influence, suggesting Airbnb operates within differentiated market niches. These results underscore the critical role of local context and associated development policies in shaping platform economies, demonstrating that Airbnb’s performance cannot be generalised across cities, even within the same country. By highlighting the association between spatial factors and short-term rental markets in Indonesia, this paper contributes to the broader debate on sustainable tourism and platform urbanism in the Global South.

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North America was the region that brought in the highest amount of Airbnb’s worldwide revenue in 2024, at five billion U.S. dollars. As the company is based in the United States, this is not surprising. However, the Europe, Middle East, and Africa (EMEA) region was not too far behind with 4.1 billion U.S. dollars in revenue. North America also reported the highest average number of nights booked by region with Airbnb in 2024.

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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.