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.

This dataset, prepared for Final Datavidia 9.0, provides an extensive collection of Airbnb listing information, offering a rich resource for deep analysis into short-term rental markets. With over 260,000 entries and a diverse range of features, it enables researchers, data scientists, and enthusiasts to explore various aspects of the Airbnb ecosystem, from pricing dynamics to host behavior and geographical distribution.

Dataset Overview

The dataset comprises 261,894 individual Airbnb listings across multiple cities, described by 55 distinct features. It captures a snapshot of properties available, details about their hosts, location specifics, pricing structures, availability, and comprehensive review scores. The data types span categorical, numerical (float64, int64), providing a versatile base for various analytical and machine learning tasks.

Key Features and Columns:

The columns in this dataset can be broadly categorized as follows:

• Listing Identification & Details:

  • id: Unique identifier for each listing.
  • name, description: Textual descriptions of the listing.
  • property_type: Type of property (e.g., apartment, house, private room).
  • room_type: The type of room offered (e.g., Entire home/apt, Private room).
  • accommodates: Number of guests the listing can accommodate.
  • bathrooms, bathrooms_text, bedrooms, beds: Details on the property's physical attributes.
  • amenities: A list of amenities provided by the listing.

• Host Information:

  • host_id, host_name: Unique identifiers and names for hosts.
  • host_since: Date when the host joined Airbnb.
  • host_location, host_about: Information about the host's location and self-description.
  • host_response_time, host_response_rate, host_acceptance_rate: Metrics on host responsiveness and booking acceptance.
  • host_is_superhost: Indicates if the host is a "Superhost."
  • host_neighbourhood: The neighborhood where the host resides (if provided).
  • host_listings_count, host_total_listings_count: Number of listings by the host.
  • host_verifications, host_has_profile_pic, host_identity_verified: Verification status of the host.

• Location Data:

  • latitude, longitude: Geographical coordinates of the listing.
  • neighbourhood, neighbourhood_overview, neighbourhood_cleansed: Information about the listing's neighborhood, with neighbourhood_cleansed likely being a standardized version.
  • city: The city where the listing is located.

• Pricing & Availability:

  • price: The nightly price of the listing.
  • has_availability: Indicates if the listing has any availability.
  • availability_30, availability_60, availability_90, availability_365: Number of available days in various future periods.
  • availability_eoy: Availability at the end of the year.

• Review Scores & Activity:

  • number_of_reviews, number_of_reviews_ltm, number_of_reviews_l30d: Total reviews and reviews in the last 12 months (ltm) and 30 days (l30d).
  • number_of_reviews_ly: Number of reviews in the last year.
  • first_review, last_review: Dates of the first and last reviews.
  • review_scores_rating, review_scores_accuracy, review_scores_cleanliness, review_scores_checkin, review_scores_communication, review_scores_location, review_scores_value: Detailed breakdown of review scores.
  • reviews_per_month: Average number of reviews per month.
  • estimated_occupancy_l365d, estimated_revenue_l365d: Estimated occupancy and revenue over the last 365 days.

Potential Use Cases:

This dataset is ideal for a wide range of analytical and predictive modeling tasks, including but not limited to:

• Price Prediction: Building models to predict Airbnb listing prices based on features like location, amenities, and property type.
• Market Analysis: Identifying trends in listing availability, host behavior, and property distribution across different cities and neighborhoods.
• Host Performance Analysis: Evaluating factors that contribute to host success, superhost status, and review scores.
• Geospatial Analysis: Visualizing listing density, pricing heatmaps, and neighborhood characteristics.
• Recommendation Systems: Developing systems that recommend listings based on user preferences or similar properties.
• Demand Forecasting: Analyzing availability trends to understand demand patterns over different periods.
• Feature Importance: Determining which features are most influential in determining price, reviews, or occupancy.

The presence of non-null counts indicates varying levels of data completeness across columns, which may require data imputation or careful handling during analysis.

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.

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.

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

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

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 ** nights per stay, with an average price of *** U.S. dollars per night. Meanwhile, the average income per property was ***** 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 *************. This was followed by *************************. 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 *************. How many Airbnb properties are there in New York City? In early 2024, the Airbnb market in New York City offered more than **** 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.

Comprehensive Airbnb dataset for City of Westminster, United Kingdom providing detailed vacation rental analytics including property listings, pricing trends, host information, review sentiment analysis, and occupancy rates for short-term rental market intelligence and investment research.

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.

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

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 Mexico City in 2025 by property type & size, powered by Airbtics. Find top locations for investing.

These are the Airbnb statistics on gross revenue by country.

As of December 2024, San Diego recorded the highest average price per night of Airbnb listings among the selected cities in the United States. In this city, accommodation listed on the Airbnb website cost on average *** U.S. dollars per night. Meanwhile, prices in New York City amounted to an average of *** U.S. dollars per night.

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.

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

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

Airbnb has seen some controversy in Los Angeles due to complaints that the influx of short-term rentals was turning apartment buildings into hotels and was using up the city’s limited housing. This caused new restrictions to be put in place on Airbnb and similar services in summer 2019. As a result, short-term rentals can only come from someone's primary residence. In LA, a primary residence is a place someone lives in at least six months out of the year. Additionally, bookings for visitors are limited to *** days a year, however there are exceptions to this. As of the third quarter of 2019, there were ****** active Airbnb rentals in LA. Whether this number will reduce after the restrictions are enforced remains to be seen.

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