Address
#807 -8 WELLESLEY ST E Toronto, ON
Price
$ 2,600
Property Attributes
  • MLS#C5054965
  • TypeRentals
  • CityToronto
  • NeighbourhoodChurch-Yonge Corridor
  • Postal CodeM4Y 3B2
  • StyleApartment
  • Price$ 2,600
  • Bedrooms2
  • Full Bathrooms2
  • Half Bathrooms0
Listing Provided Courtesy Of:
Homelife Classic Realty Inc.
Property Description

Luxurious Loft Living Space Steps From Underground Subway , Yorkville, U Of T, Ryerson Universities. 5 Major Hospitals Are On A 10-15 Minutes Walk. Short Walk To Eaton Center Bright & Spacious Boast 10 Ft Ceilings. Recently Renovated Corner Unit. Open Concept Kitchen With Large Island. Master En-Suite Offer Oversize Shower Second Bathroom With Soaker Tub.**** EXTRAS **** Fridge, Stove, Dishwasher, Microwave, Stacked Washer & Dryer. Fully Furnished. (id:27)

Price History
12/3/2020 Listed $2,600

General Features

Amenities Storage - Locker, Party Room, Exercise Centre, Recreation Centre
Amenities Nearby Hospital, Public Transit, Schools
Beds 2
Building Type Apartment
Community Features Pets not Allowed
Features Balcony
Garage no
Listing Type Condo
Neighbourhood Church-Yonge Corridor
Parking no
Property Type Single Family
Terms LEASE
Wheel Chair Access no

Interior Features

Bedrooms 2
Bedrooms Above 2
Cooling Type Central air conditioning
Fireplace no
Heating Fuel Natural gas
Heating Type Forced air
Total Baths 2

Exterior Features

Exterior Finish Concrete, Stucco
Pool Y/N no

Room Details

Room Dimensions Level Flooring Details
2nd Bedroom Main Level
Dining Main Level
Kitchen Main Level
Living Main Level
Master Bedroom Main Level

Amenities

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

Property vs Postal Code Average in M4Y 3B2

Price
AVG $K
$K
Visits
AVG 19
42
Walkscore
AVG 99
99
Data Provided by Walkscore ® not using MLS data

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