Price Reduction - Views
#6509 -1 BLOOR ST E Toronto, ON
$ 1,435,000
Property Attributes
  • MLS#C4988251
  • TypeCondos
  • CityToronto
  • NeighbourhoodChurch-Yonge Corridor
  • Postal CodeM4W 1A9
  • StyleApartment
  • Price$ 1,435,000
  • Bedrooms2+1
  • Full Bathrooms2
  • Half Bathrooms0
Listing Provided Courtesy Of:
Sutton Group-Associates Realty Inc.
Property Description

Your Home In The Sky Awaits! Stunning 2 Bedroom, Corner Unit With Spacious Open Concept Kitchen/Dining/Living Room. Large Balcony With North/West/South Views As Far As The Eye Can See! High End Finishes Throughout. Floor To Ceiling Windows. Large Bedrooms With Lots Of Closet Space. Modern Bathrooms. Ensuite Laundry. Fantastic Location In One Torontos Most Vibrant Intersections With Shopping, Entertainment & Dining At Your Doorstep! A Must See!**** EXTRAS **** Ttc Access In The Building. Minutes To Uoft, Yorkville, Queens Park, Yonge & Dundas, And More! Includes: All Elf's, Existing Window Covers, High End Quality Appliances: Sub-Zero Fridge, Stove, Dishwasher, B/I Microwave Oven, Washer/Dryer. (id:27)

Price History
11/13/2020 Listed $1,450,000
11/23/2020 2% - $1,435,000

General Features

Amenities Storage - Locker
Beds 2+1
Building Type Apartment
Features Balcony
Garage no
Listing Type Condo
Neighbourhood Church-Yonge Corridor
Parking no
Property Type Single Family
Terms SALE
Wheel Chair Access no

Interior Features

Bedrooms 2+1
Bedrooms Above 2
Bedrooms Below 1
Cooling Type Central air conditioning
Fireplace no
Heating Fuel Natural gas
Heating Type Forced air
Total Baths 2

Exterior Features

Exterior Finish Concrete
Parking Type Underground
Pool Y/N no


  • 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 M4W 1A9

AVG $1.13M
AVG 98
Data Provided by Walkscore ® not using MLS data

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