Toronto Airbnb, mapped by price and rating
10,560 active listings across 140 neighbourhoods, split into four market quadrants by citywide median price and rating. Data: Inside Airbnb, 2019–2024.
How the four quadrants are defined
Each neighbourhood is plotted by its median price and average rating, then split against the citywide medians. Price median: CAD $— · Rating median: —.
Neighbourhood map
Hover a neighbourhood to see its metrics.
Price vs. rating — the four quadrants
Each dot is a neighbourhood. Size = listing count. Dashed lines = citywide medians.
Room type by quadrant
Listing traits by quadrant
What property features drive satisfaction & bookings
Top amenities by prevalence. X = avg rating, Y = avg reviews/month (industry proxy for booking rate). Bubble size = listing share. Dashed lines = citywide average.
Room type: price, rating, booking rate
Values normalised 0–100 across room types for comparison; hover for raw numbers.
Property type — top 8 by supply
Median price vs. avg rating per property type. Bubble size = listing count.
Monthly activity, 2019–2024
Reviews proxy for bookings. Estimated occupancy uses the Inside Airbnb "San Francisco model": bookings = reviews ÷ 0.5 review rate, multiplied by 3-night avg stay, over a rolling 12-month supply.
Neighbourhood leaderboards
Hottest = highest booking rate per listing. Most competitive = largest supply. Highest rated = top avg rating (min 30 listings to avoid small-sample noise).