New York City accounted for ****** Airbnb listings in late 2024. Meanwhile, Los Angeles had ****** listings, making it the city with the most Airbnb listings in the ranking.

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

Bengaluru, the southern Indian city had the highest occupancy rate of over ** percent among Airbnb listings in 2023. New Delhi followed closely with average occupancy rate of nearly ** percent.

These are the Airbnb statistics on gross revenue by country.

What makes your data unique? - We have our proprietary AI to clean outliers and to calculate occupancy rate accurately.

How is the data generally sourced? - Web scraped data from Airbnb. Scraped on a weekly basis.

What are the primary use-cases or verticals of this Data Product? - Tourism & DMO: A one-page CSV will give you a clear picture of the private lodging sector in your entire country. - Property Management: Understand your market to expand your business strategically. - Short-term rental investor: Identify profitable areas.

Do you cover country X or city Y?

We have data coverage from the entire world. Therefore, if you can't find the exact dataset you need, feel free to drop us a message. Our clients have bought datasets like 1) Airbnb data by US zipcode 2) Airbnb data by European cities 3) Airbnb data by African countries.

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 Malibu, Jousha Tree, Brighton (UK) in 2023. The data is owned by Airbtics.

Airbtics is a short-term rental data & analytics company monitoring 20 million listings from various short-term rental booking sites.

Content

This data file includes all the needed information to find out the exact performance of Airbnb listings. You can find out how many nights were booked in a specific month, and average daily rate.

Acknowledgements

This public dataset is part of Airbnb, and the original source can be found on this website. The data was processed by Airbtics.

Inspiration

What is the occupancy rate of listing X in January 2023? What is the average daily rate of a listing Y in January 2023? How many bookings did a listing Z receive in January 2023?

To find more granular data in other cities, visit Airbtics.com

The top 100 Airbnb markets in 2025 are: 1. Los angeles - Strict regulations, 11,250 listings, 67% occupancy rate, $213 daily rate. See other 99 places.

The top 100 Airbnb markets in 2025 are: 1. London - Lenient regulations, 51,638 listings, 73% occupancy rate, $190 daily rate. See other 99 places.

In 2025, Airbnbs in Perth, Western Australia, had the highest average occupancy rates across the Australian cities and regions represented, with an average occupancy of around ** percent. Airbnbs in the Surfers Paradise, Brisbane, and Gold Coast areas had the next highest occupancy rates that year.

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

Airbnb In NYC

Room Prices, Reviews, and Availability

By Huggingface Hub [source]

About this dataset

This dataset offers a unique and comprehensive look into the expansive Airbnb industry in New York City. We capture 20,000+ Airbnbs with its associated data such as descriptions, rates, reviews and availability. Professionals researching this industry will find it an invaluable resource in providing insight to the ever popular Airbnb market that can be used for their advantage.

This dataset showcases some of the most important attributes for each listing: host name, neighborhood group, location (latitude/longitude coordinates), room type, price per night, minimum nights required to book a stay at this listing , total number of reviews and ratings received by guests over time (including reviews per month and last review date), calculated host listing count (indicates how many listings are offered by each host) along with 365 days worth of availability score. With all these parameters one can understand dynamics of demand & supply & further utilize them accordingly to maximize returns or occupancy greeting never before seen transparency into NYC’s Airbnb scene

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How to use the dataset

This dataset can be used to gain a comprehensive understanding of the Airbnb market in New York City. The data offers descriptions, rates, reviews and availability for over 20,000 Airbnbs in NYC.

Here are few tips on how to use this dataset: - Use the latitude and longitude coordinates to visualize the variety of Airbnbs located across all five boroughs of New York City using mapping programs like Google Maps or ArcGIS. - Determine the versatile price ranges offered by Airbnb listings by looking at the “price” column available for each listing . - Analyze reviews scored by guests who have used an Airbnb in order to better understand customer experience with different services through columns such as “number_of_reviews” and “last_review.
4 Understand how often properties are made available for booking based on their popularity through columns like “availability_365 and reviews_per_month. . 5 Investigate listing host data by looking into their description (host name) as well as number of listings they have booked (calculated host listing count)

Research Ideas

• Determining the listings with the highest satisfaction ratings for potential customers to book.
• Analyzing neighborhood trends in prices, availability, and reviews to identify hot areas of competition within the Airbnb market.
• Predicting future prices throughput examining properties such as review scores and availability rate to provide forecast information to AirBnB owners

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv | Column name | Description | |:-----------------------------------|:------------------------------------------------------------------------------------| | name | The name of the Airbnb listing. (String) | | host_name | The name of the host of the Airbnb listing. (String) | | neighbourhood_group | The neighbourhood group the Airbnb listing is located in. (String) | | latitude | The latitude coordinate of the Airbnb listing. (Float) | | longitude | The longitude coordinate of the Airbnb listing. (Float) | | room_type | The type of room offered by the Airbnb listing. (String) | | price | The price per night of the Airbnb listing. (Integer) | | minimum_nights | The minimum number of nights required for booking the Airbnb listing. (Integer) | | number_of_reviews | T...

Airbnb & Short term rental statistics.

Available columns - average occupancy rate - average daily rate - revenue - active listing

Timeframe - 2024 TTM (2023 June - 2024 May) - 2023 TTM, 2022 TTM

This data covers following cities:

Brasilia Buenos Aires Mexico City El Calafate Tamarindo São Paulo Panama City Santa Teresa Medellin Cancun Santiago Playa del Carmen Manaus Cartagena Bariloche Bogota Antigua and Barbuda Rio De Janeiro Florianopolis Lima Havana Punta Arenas Salvador de Bahia Cusco Cali Tijuana Oxahaca Punta del Este Jericoacoara Quito Foz do Iguacu Bonito

Global short-term rental intelligence sourced from leading Online Travel Agencies (OTAs). The OTA Real Estate Dataset provides a comprehensive view of the global vacation rental market by combining verified OTA property listings with valuation, tax, and physical asset data. Each record includes unique property identifiers, geolocation details, pricing indicators, and occupancy metrics—enabling robust market analysis and investment-grade insights.

Continuously sourced from major OTA platforms and refined through proprietary data-cleaning models, this dataset ensures accuracy, consistency, and comparability across regions. Available globally with flexible delivery via API or flat files, it serves as a foundational dataset for those analyzing market performance, forecasting development potential, or conducting housing research.

Key Highlights: Granular Real Estate Intelligence: Combines OTA listing data with valuation, tax, and property attributes for a holistic view of market activity.

Global and Standardized: Harmonized schema and coverage across countries, cities, and neighborhoods for cross-market comparability.

High-Fidelity Data: Proprietary normalization removes duplicates and outliers to ensure analytical precision.

Flexible Access: Delivered through API or CSV, updated regularly for timely decision-making.

Ideal For: Real Estate Investors: Identify high-performing short-term rental markets and assess yield potential.

Developers & Urban Planners: Evaluate spatial demand patterns and inform development feasibility studies.

Financial Institutions: Integrate standardized OTA data into underwriting, risk, and valuation models.

Tourism Economists & Market Researchers: Quantify the impact of vacation rentals on local housing and tourism dynamics.

Use It To: Benchmark short-term rental performance by region or property type.

Analyze shifts in rental demand and pricing over time.

Support market-entry, site-selection, and feasibility studies with real OTA-backed data.

Enhance research and policy analysis with consistent, globally comparable property-level insights.

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

In 2025, Airbnbs in Queenstown had the highest average occupancy rates across the New Zealand cities and regions represented, with an average occupancy of around ** percent. Airbnbs in the Christchurch and Otago areas had the next highest occupancy rates that year.

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

As of December, 2024, there were over ** thousand listings for room and apartment rentals in London on the Airbnb website, the highest of any other major European city. Airbnb listings were also high in Paris, Rome and Madrid. Paris accounted for around ** thousand listings, while Rome and Madrid had over ** and ** thousand, respectively. Controversy of Airbnb in Europe Airbnb has become an increasingly popular option for tourists looking for local accommodation. Visitors are attracted to using Airbnb properties instead of hotels and other traditional travel accommodation mainly due to cheaper prices, but also for the location, and to gain an authentic experience. However, the site is facing ongoing legal problems, with some destinations moving to ban or restrict rentals from the site because they worsen housing problems and undermining hotel regulations. Many European cities, including Amsterdam and Paris, have placed limits on the length of rentals, and others such as Barcelona have introduced strict regulations for hosts. The rise of Airbnb Airbnb is one of the most successful companies in the global sharing economy. The company was founded in San Francisco, California in 2008, after being conceived by two entrepreneurs looking for a way to offset their high rental costs. Airbnb was developed as an online platform for hosts to rent out their properties on a short-term basis. It now competes with other online travel booking websites, including Booking.com and Expedia.

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 London, Dubai, San Francisco, Tokyo, Sydney, Miami, and Toronto in 2023. The data is owned by Airbtics.

Airbtics is a short-term rental data & analytics company monitoring 20 million listings from various short-term rental booking sites.

Content

This data file includes all needed information to find out more about listings, hosts, geographical availability, necessary metrics, such as last twelve months occupancy rate, daily rate and revenue, to make predictions and draw conclusions.

Acknowledgements

This public dataset is part of Airbnb, and the original source can be found on this website. The data was processed by Airbtics.

Inspiration

How much does a typical 2-bedroom Airbnb listing make compared to a 3-bedroom in London? What is the average occupancy rate of Airbnb listings in London?

To find more granular data in other cities, visit Airbtics.

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.

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