Views
Address
#2913 -763 BAY ST Toronto, ON
Price
$ 2,200
Property Attributes
  • MLS#C4852249
  • TypeRentals
  • CityToronto
  • NeighbourhoodBay Street Corridor
  • Postal CodeM5G2R3
  • StyleApartment
  • Price$ 2,200
  • Bedrooms1
  • Full Bathrooms1
  • Half Bathrooms0
Listing Provided Courtesy Of:
Century 21 Atria Realty Inc.
Property Description

Well Maintained Unit, Direct Access To Subway, Good View, Great Amenities, Indoor Pool, 24 Hurs. Security, Guest Suite, Walk To U/T, Ryerson, College Park, Eaton Center And Many More. Tenant Agrees To Pay A Refundable Key Deposit $300.00 And Purchases Tenant Insurance On Or Before Closing.**** EXTRAS **** Tenant Exclusive Use Of All Existing Window Coverings, Light Fixtures, Fridge, Stove, Washer, Dryer (id:27)

Price History
8/1/2020 Listed $2,200

General Features

Amenities Party Room, Sauna, Exercise Centre, Recreation Centre
Amenities Nearby Hospital, Park, Public Transit
Beds 1
Building Type Apartment
Community Features Pets not Allowed
Features Balcony
Garage no
Listing Type Condo
Parking no
Property Type Single Family
Terms LEASE
Wheel Chair Access no

Interior Features

Bedrooms 1
Bedrooms Above 1
Cooling Type Central air conditioning
Fireplace no
Heating Fuel Natural gas
Heating Type Forced air
Total Baths 1

Exterior Features

Exterior Finish Concrete
Parking Type Underground
Pool Type Indoor pool
Pool Y/N no

Room Details

Room Dimensions Level Flooring Details
Dining 5.4 m x 3 m Flat/Apartment Level
Kitchen 3 m x 1.9 m Flat/Apartment Level
Living 5.4 m x 3 m Flat/Apartment Level
Master Bedroom 3.6 m x 3 m Flat/Apartment Level

Amenities

  • Foreclosure
  • Views
  • Short Sale
  • New Construction
  • Adult
  • 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 M5G2R3

Price
AVG $K
$K
Visits
AVG 4
16
Walkscore
AVG 98
98
Data Provided by Walkscore ® not using MLS data

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