#2903 -60 SHUTER ST Toronto, ON
$ 1,750
Property Attributes
  • ID#C5160699
  • TypeRentals
  • CityToronto
  • NeighbourhoodChurch-Yonge Corridor
  • Postal CodeM5B 1A8
  • StyleApartment
  • Price$ 1,750
  • Bedrooms1+1
  • Full Bathrooms1
  • Half Bathrooms0
Listing Provided Courtesy Of:
Lucia Zhao with Aimhome Realty Inc.
Data Source:
Property Description

Brand New South Facing 1 Bedroom + Den Unit On High Floor At Fleur Condos By Menkes Development. Lots Of Sunshine, Bright And Spacious. Amazing Views Of The City And The Lake. Den Can Be Used As Second Bedroom With Sliding Doors. Open Concept Kitchen With B/I Appl. Steps Away From Subway Station, Ryerson University, Hospital, Eaton Centre, Restaurants And More.**** EXTRAS **** B/I Fridge, Cooktop, Oven, Range Hood Fan, B/I Dishwasher, Microwave, Stacked Washer/Dryer, Existing Light Fixtures. Exiting Window Coverings/Blinds. Tenant Pays Own Utilities. (id:27)

General Features

Amenities Party Room
Amenities Nearby Public Transit, Schools
Beds 1+1
Building Type Apartment
Garage no
Listing Type Condo
Neighbourhood Church-Yonge Corridor
Parking no
Property Type Single Family
Wheel Chair Access no

Interior Features

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

Exterior Features

Exterior Finish Concrete
Pool Y/N no

Room Details

Room Dimensions Level Flooring Details
Den Measurements not available Main Level
Dining Measurements not available Main Level
Kitchen Measurements not available Main Level
Living Measurements not available Main Level
Master Bedroom Measurements not available Main Level


  • Views
  • 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 M5B 1A8

AVG 19
AVG 97
Data Provided by Walkscore ® not using MLS data