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.

The current average price per night globally on Airbnb is $137 per night.

According to a March 2025 analysis, Florence and Bologna reported the highest average price per night of Airbnb listings among the selected Italian cities, at *** euros. Meanwhile, Airbnb listings in Venice and Rome cost an average of *** and *** euros per night, respectively.

As of December 2024, the average price per night of Airbnb listings in Edinburgh was *** British pounds. Meanwhile, the average price per night of Airbnb listings in London stood at *** British pounds, which was around ** British pounds less than in Greater Manchester.

Listings per region on Airbnb declined from 2020 to 2021. Globally in 2021, there were a total of 12.7 million listings.

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

In 2025, Airbnbs in the Mornington Peninsula area of Victoria, Australia, had the highest average daily rates across the Australian cities and regions represented, with an average daily rate of around *** Australian dollars. Airbnbs in Noosa Heads and Shoalhaven had the next highest daily rates that year.

The New York City Airbnb 2019 Open Data is a dataset containing varius details about a listed unit, when the goal is to predict the rental price of a unit.

This dataset contains the details for units listed in NYC during 2019, was adapted from the following open kaggle dataset: https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data. This, in turn was downloaded from the Airbnb data repository http://insideairbnb.com/get-the-data.

This dataset is licensed under the CC0 1.0 Universal License (https://creativecommons.org/publicdomain/zero/1.0/).

The typical ML task in this dataset is to build a model that predicts the average rental price of a unit.

Airbnb has a total of 6,132 employees that work for the company. 52.5% of Airbnb workers are male and 47.5% are female.

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

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.

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,...

These are the Airbnb statistics on gross revenue by country.

This study estimates the impact of Airbnb on housing prices and residential mobility in Madrid from 2010 to 2018. Using a comprehensive dataset that includes Airbnb activity, housing prices, and residential moves at the neighborhood-year level, I employ a shift-share instrumental variable approach that leverages variations in neighborhoods' attractiveness to tourists and Airbnb's rapid growth. My findings indicate that, on average, an increase of 100 Airbnb listings in a neighborhood leads to a 2\% rise in housing prices and a corresponding decrease in the number of new residents moving into the neighborhood. Furthermore, results from a causal mediation analysis using the same instrumental variable reveal that the negative effect of Airbnb on residential inflows is primarily driven by its impact on house prices. Consistent with this result, I find that the reduction in residential inflows caused by Airbnb's impact on house prices is predominantly driven by residents without a college degree. This paper contributes to the literature on the impacts of the digital economy by providing evidence that short-term rental platforms may trigger or intensify gentrification processes.

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.

In Marseille, as of 2017, renting a one-bedroom apartment via Airbnb cost on average 63 euros.

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.

As of 2018, the average price for an Airbnb in the center of Amsterdam amounted to approximately *** euros for a whole house, ****** euros for a private room and *** euros for a shared room per rent. The cheapest district of Amsterdam for a whole house and private room was Southeast costing *** and ***** euros, respectively. When observing the total average price of Airbnb accommodations in Amsterdam, it increased steadily between 2016 and 2018. In 2016, people paid on average *** euros, whereas by 2018 this amounted to roughly *** euros.

Annual increase of price Airbnb

Although the average price of Airbnb’s listings grew annually in Amsterdam, the number of overnight stays decreased from 2017 to 2018. In total, *** million nights were spent at Airbnb accommodations in the capital city of the Netherlands, whereas in 2018 this figure decreased slightly, reaching approximately **** million registered overnight stays. Other major cities in the Netherlands, such as Rotterdam, The Hague and Utrecht, had an increase in overnight stays of Airbnb accommodations, even though the number of nights spent is significantly lower compared to Amsterdam.

Number of hotel nights increased annually in Amsterdam

Looking at Airbnb’s competitors, the volume of hotel nights in Amsterdam increased annually between 2008 and 2018. In 2008, hotels registered **** million overnight stays whereas by 2018 this figure more than doubled with approximately ***** million nights that were spent in hotels in Amsterdam.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Airbnb (ABNB) Stock: A Travel Revolution in the Making

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

As of April 2022, one bedroom Airbnbs in Sydney, Australia had an average daily rate of *** Australian dollars. In comparison, one bedroom Airbnbs in Perth, Australia recorded an average daily rate of *** Australian dollars that same month.