Toronto

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Airbnb in Toronto

According to Inside Airbnb data from December 4th 2016, there are 12,029 Airbnb listings in Toronto, of which almost 2/3 (7,544 or 63%) are "Entire homes and apartments."

An estimated 3,114 (or more than a third) of entire homes have been rented recently and frequently - for more than 90 nights per year. These listings have an average occupancy rate of 53%, or 194 nights out of the year and estimated revenue of $2,112 per month.

More than a third of the listings (4,624 or 38%) are run by hosts with more than one listing, and more than two thousand of these (2,477) are entire homes.

The Law

Under current Ontario zoning bylaws, there are no regulations or restrictions that apply to short term rentals, however city officials are discussing the issue and the impact on the city.

Tenants however, could face eviction if they rent their leased apartment or home to short-term renters, in particular when they are doing so for a profit, against the bylaws of the building, or without the consent of their landlord.

Airbnb data for Toronto

Inside Airbnb

A conservative occupancy model has been built in order to estimate Occupancy Rates, Income per Month and Nights per Year. More information on the methodolgy of the occupancy model can be found in the disclaimers.

Inside Airbnb: Toronto uses the following parameters:

If you are a data scientist, urban or public policy planner, researcher or journalist, get the data, analyze and publish your results.

Airbnb

Airbnb provides NO PUBLIC DATA to help understand the use of their platform and the impact on cities around the world.

Airbnb also provide NO DATA to cities or states to assist them in ensuring that Airbnb hosts and Airbnb are following the local laws.

Other data

Close About Airbnb in Toronto

How is Airbnb really being used in and affecting your neighborhoods?

Room Type

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entire homes/apartments
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price/night
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entire home/apartments
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private rooms
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shared rooms

Airbnb hosts can list entire homes/apartments, private or shared rooms.

Depending on the room type, availability, and activity, an airbnb listing could be more like a hotel, disruptive for neighbors, taking away housing, and illegal.

Activity

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estimated nights/year
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reviews/listing/month
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reviews
$###
price/night
##.#%
estimated occupancy
$###
estimated income/month

Airbnb guests may leave a review after their stay, and these can be used as an indicator of airbnb activity.

The minimum stay, price and number of reviews have been used to estimate the occupancy rate, the number of nights per year and the income per month for each listing.

How does the income from Airbnb compare to a long-term lease?

Do the number of nights booked per year make it impossible for a listing to be used for residential housing?

And what is renting to a tourist full-time rather than a resident doing to our neighborhoods and cities?

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Availability

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high availability
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listings w high availability
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listings w low availability
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days/year

An Airbnb host can setup a calendar for their listing so that it is only available for a few days or weeks a year.

Other listings are available all year round (except for when it is already booked).

Entire homes or apartments highly available year-round for tourists, probably don't have the owner present, could be illegal, and more importantly, are displacing residents.

See the disclaimers for how the Airbnb calendar may not be accurate.

Listings per Host

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multi-listings
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single listings
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multi-listings

Some Airbnb hosts have multiple listings.

A host may list separate rooms in the same apartment, or multiple apartments or homes available in their entirity.

Hosts with multiple listings are more likely to be running a business, are unlikely to be living in the property, and in violation of most short term rental laws designed to protect residential housing.

Host Name #Listings

[HOST NAME]

(## other listings)

#######

XXXXXXXXXXXXXXX

xxxxxxxxxxxxxxx

[ROOM TYPE]

$### income/month (est.)

$### /night

X night minimum

x.x nights/year (est.)

##.#% occupancy rate (est.)

x.x reviews/month

### reviews

last: xx/xx/xxxx

[HIGH/LOW] availability

xxx days/year (##.#%)

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