Inside Airbnb is an independent, non-commercial set of tools and data that allows you to explore how Airbnb is really being used in cities around the world.
By analyzing publicly available information about a city's Airbnb's listings, Inside Airbnb provides filters and key metrics so you can see how Airbnb is being used to compete with the residential housing market.
With Inside Airbnb, you can ask fundamental questions about Airbnb in any neighbourhood, or across the city as a whole. Questions such as:
- "How many listings are in my neighbourhood and where are they?"
- "How many houses and apartments are being rented out frequently to tourists and not to long-term residents?"
- "How much are hosts making from renting to tourists (compare that to long-term rentals)?"
- "Which hosts are running a business with multiple listings and where they?"
The tools are presented simply, and can also be used to answer more complicated questions, such as:
- "Show me all the highly available listings in Bedford-Stuyvesant in Brooklyn, New York City, which are for the 'entire home or apartment' that have a review in the last 6 months AND booked frequently AND where the host has other listings."
These questions (and the answers) get to the core of the debate for many cities around the world, with Airbnb claiming that their hosts only occasionally rent the homes in which they live.
In addition, many city or state legislation or ordinances that address residential housing, short term or vacation rentals, and zoning usually make reference to allowed use, including:
- how many nights a dwelling is rented per year
- minimum nights stay
- whether the host is present
- how many rooms are being rented in a building
- the number of occupants allowed in a rental
- whether the listing is licensed
The Inside Airbnb tool or data can be used to answer some of these questions.
The data behind the Inside Airbnb site is sourced from publicly available information from the Airbnb site.
The data has been analyzed, cleansed and aggregated where appropriate to faciliate public discussion. Read more disclaimers here.
If you would like to do further analysis or produce alternate visualisations of the data, it is available below under a Creative Commons CC0 1.0 Universal (CC0 1.0) "Public Domain Dedication" license.