Address
285 College St Toronto, ON
Price
$ 1,250
Property Attributes
  • MLS#C5328207
  • TypeRentals
  • CityToronto
  • AreaKensington-Chinatown
  • NeighbourhoodToronto C01
  • Postal CodeM5T 1S2
  • StyleApartment
  • Price$ 1,250
  • Bedrooms1
  • Full Bathrooms1
  • Half Bathrooms0
Listing Provided Courtesy Of:
WINNERS REALTY INC., BROKERAGE
Data Source:
Canada - Toronto Real Estate Board (TRREB)
Property Description

Newly Renovated Bedroom! 3rd Floor Apartment, Located On College St And Spadina. Private Spacious 17X17 Bedroom, Shared Kitchen And 3 Piece Bathroom With Superintendent. Freshly Painted Bedroom With Private Microwave And Fridge. Private Entrance To Apartment. Short Walking Distance To The University Of Toronto (U Of T), Public Transit/Spadina Street Car, Schools, Library, Loblaws, Kensington Market And China Town.

Price History
8/4/2021 Listed $1,250

General Features

Area Toronto
Basement None
Community Kensington-Chinatown
Extras Hydro & Internet Connection Extra. Window A/C Unit Available For Install For Additional Cost. Share 25% Of The Separate Hydro Meter For The Apartment (1 Bedroom 2nd Floor And 2 On 3rd) Superintendant
Garage Spaces 0.0
Heater Type Water
Municipality Toronto
Pool Y/N None
Property Sub Type Upper Level
Rooms 3
Status A
Style Apartment
Water Municipal
Water Included Yes

Interior Features

A/C None
Family Room No
Fireplace Stove No
Furnished Y/N Part
Heat Included No
Heat Source Gas
Kitchens 1
Laundryaccess None
Total Bedrooms 1
Washrooms 1

Exterior Features

Drive None
Exterior Brick
Frontingonnsew S
Garage Type None
Parkingincluded No
Private Entrance Yes
Sewers Sewers

Amenities

  • Views
  • New Construction
  • Adult 55+
  • Lease To Own
  • No Strata Fees
  • Furnished
  • Pets
  • Primary On Main
  • Air Conditioning
  • Seller Finance
  • Green
  • Fixer Upper
  • Horse
  • Golf
  • Fireplace
  • Deck
  • Garage
  • Basement
  • Pool

Property vs Rentals Average in M5T 1S2

Price
AVG $K
$K
Visits
AVG 49
97
Walkscore
AVG 96
96
Data Provided by Walkscore ® not using MLS data

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