About Inside Airbnb

inside airbnb


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:

The tools are presented simply, and can also be used to answer more complicated questions, such as:

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:

The Inside Airbnb tool or data can be used to answer some of these questions.

Get the Data!

If the site doesn't answer your questions and you are craving more data, you can download it here for your own analysis (we have compiled more than 50 data points for each listing, and the listing's reviews and calendar).

If you do not find the data you want, please e-mail murray@murraycox.com with your requirements.


Inside Airbnb was personally funded by Murray Cox, including the time volunteered by all involved.

Consider a donation to help make this effort sustainable - your contribution will help to pay for data collection, technology costs, and compensation for people's valuable time (unfortunately at this time your donation is not tax deductible.)


The Occupancy Model

One of the biggest issues with Airbnb is whether hosts are renting out residential properties permanently as hotels, as opposed to sharing the primary residence in which they live "occasionally".

Airbnb could easily answer this question, say, by applying their Data Science and Analytics team to the task, but instead it's up to their Public Policy team to make us feel embarrassed to be questioning the wisdom of Silicon Valley's ability to shape our communities and solve our urgent need to house tourists. Where do I sign up as a host?

Enter the occupancy model, which can be used to estimate how often an Airbnb listing is being rented out, and also approximate a listing's income. (Large numbers produced by the data for the estimated occupancy rate and income show both a behaviour AND incentive to turn residential properties into full-time hotels with Airbnb).

Inside Airbnb uses an occupancy model which we've christened the "San Francisco Model" in honor of the public policy and urban planners working for that fair city who created occupancy models to quantify the impact of Airbnb on housing.

The two models created by, respectively, Alex Marqusee for the San Francisco Planning Department; and the Budget and Legislative Analyst's Office, are detailed here:

Inside Airbnb's "San Francisco Model" uses a modified methodology as follows: