Address
10 Queens Quay Walk # 2210 Toronto, ON
Price
$ 899,900
Property Attributes
  • ID#C5207499
  • TypeCondos
  • CityToronto
  • AreaWaterfront Communities C1
  • NeighbourhoodToronto C01
  • Postal CodeM5S 2R9
  • StyleApartment
  • Taxes$ 2788
  • Price$ 899,900
  • Bedrooms2
  • Full Bathrooms2
  • Half Bathrooms0
  • Sqr Footage1000-1199
Listing Provided Courtesy Of:
SUTTON GROUP-ADMIRAL REALTY INC., BROKERAGE
Data Source:
Canada - Toronto Real Estate Board (TREB)
Property Description

Award Winning Design Toronto Suite Approx 1000 Sqft Floor To Ceiling Windows Wrap Around Windows, Bright Sun Filled Over Sized Balcony, With Two Walk Out To Balcony. Master Bedroom Walkout Closet 4 Pc En Suite Five Star Amenities Close To Shopping, Subway, All Utilities Included Even Cable Tv. Easy To Show!

Price History
4/24/2021 Listed $899,900

General Features

Area Toronto
Basement None
Community Waterfront Communities C1
Ensuitelaundry Yes
Exposure W
Extras Fridge, Stove, Washer, Dryer, Built In Dishwasher, All Elfs, Fixtures Attached And Belonging To The Property.
Heater Type Forced Air
Maintenance 1073.76
Municipality Toronto
Parking Spaces 1
Pets Allowed Restrict
Property Sub Type Condo Apt
Rooms 4
Square Footage Range 1000-1199
Status A
Style Apartment
Tax Year 2020
Taxes 2788.62
Unit 10
Water Included Yes

Interior Features

A/C Central Air
Family Room No
Fireplace Stove No
Heat Included Yes
Heat Source Gas
Kitchens 1
Level 21
Total Bedrooms 2
Washrooms 2

Exterior Features

Balcony Open
Exterior Concrete
Garage Park Spaces 1.0
Garage Type Undergrnd
Parking Type Owned
Parkingdrive Mutual
Parkingincluded Yes

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 Condos Average in M5S 2R9

Price
AVG $900K
$900K
Visits
AVG 503
254
Walkscore
AVG 89
89
Data Provided by Walkscore ® not using MLS data

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