Information about each metric
All of the metrics below are calculated for the year-long study period: January 1, 2015 through December 31, 2015. Input data for each of the metrics is either from Airbnb’s database, or from surveys sent to Airbnb hosts and guests who hosted or traveled on Airbnb in 2015.
Hosts who hosted
The total number of Airbnb hosts counts all hosts who hosted at least one trip during the study period. This data is drawn from Airbnb’s database.
Typical host income
Typical host income is the median income earned in a given market among hosts who (a) have had at least one booking during the year-long study period, and (b) have had at least one listing that was active as of the beginning of the study period.
Presenting the median value among hosts who were active as of the start of the study period provides the most representative values for a year’s worth of booking activity.
Hosts saved from eviction and foreclosure
This metric describe the percentage of all hosts who reported that income from hosting on Airbnb has helped them avoid (a) eviction, or (b) foreclosure. This information is based on survey responses.
The metric was calculated based on host survey responses. Hosts self-identified as (a) homeowners or (b) renters, and indicated whether they used Airbnb income to stay in their homes, as well as whether the income directly allowed them to avoid financial foreclosure or eviction.
- Foreclosure: 100% of hosts x % homeowners x % using Airbnb income to stay in the home x % using Airbnb income to directly avoid foreclosure.
- Eviction: 100% of hosts x % renters x % using Airbnb income to stay in the home x % using Airbnb income to directly avoid eviction.
Hosts sharing their permanent home
This metric reflects the percentage of hosts who share the home in which they live. Both primary residences and in-law units associated with a host’s primary residence were included in this calculation.
This metric is based on host survey data.
This metric does not reflect the percentage of hosts who ONLY share their permanent homes. Hosts may share more than one home.
Nights booked per year for a typical listing
Nights booked per year for a typical listing presents the median number of nights hosted among listings that (a) had at least one booking during the year-long study period, and (b) was active as of the beginning of the study period.
Presenting the median value for all listings which were active as of the start of the study period provides the most representative behavior for a year’s worth of booking activity.
Average annual number of guests per listing
The average annual number of guests per listings is the number of guests the average listing hosted over the course of the study period.
- Average annual number of Airbnb guests per listing = Total guests to a city or country / Total unique booked listings.
The average number of Airbnb guests per listing is based on data is drawn from Airbnb’s database.
Guests arrivals represents all guests who visited a particular city or country and stayed in an Airbnb listing during the study period. This data is drawn from Airbnb’s database.
Guest arrivals includes all guests in a party, as indicated by the booking guest upon booking. The guest numbers do not reflect unique guests, but counts all guests each time they took a trip to the city or country.
Average length of stay per guest (days)
The average length of stay per guest describes the number of days Airbnb guests spent in a city or country on a given Airbnb trip. This is calculated on a per-guest basis (and not a not a per-trip basis). Trips to a given location that involved multiple Airbnb listing stays, are counted separately. This data is drawn from Airbnb’s database.
- Average days per guest stay = Total guest nights (i.e. sum of guests per trip x total nights per trip) / Total guests.
The total economic activity generated by the Airbnb community is presented here as the sum of all host earnings and guest daytime spending.
- Host earnings are drawn from Airbnb’s database.
- Guest daytime spending is based on guest survey responses. In addition to removing spending outliers, guest spending is weighted by guest origin.
Property damage resolutions per total guests at the country level
The property damage resolutions record highlights the ratio of the number of property damage resolutions resulting in a payment over $1000 to the total number of guests during the study period.
- Property Damage Resolutions ratio = Total number of property damage resolutions valued at more than $1,000 / Total guests during the study period.
Geographic Distribution of Listings
The map shows the locations of all booked Airbnb listings during the year-long study period.
N/A indicates limited data for a given geography.