Waterfront
Address
39 Queens Quay E # 936 Toronto, ON
Price
$ 999,999
Property Attributes
  • ID#C5231780
  • TypeCondos
  • CityToronto
  • AreaWaterfront Communities C1
  • NeighbourhoodToronto C01
  • Postal CodeM5E 0A5
  • StyleApartment
  • Taxes$ 3886
  • Price$ 999,999
  • Bedrooms1
  • Full Bathrooms2
  • Half Bathrooms0
  • Sqr Footage700-799
Listing Provided Courtesy Of:
RE/MAX REALTY ONE INC., BROKERAGE
Data Source:
Toronto Real Estate Board
Property Description

Luxury Brandnew Pier 27, Toronto's Waterfront About 780/Sqft With 1 Parking, 1 Locker, 1 Bicycle Locker. 2 Bedroom With Ensuite (2 Full Washroom), 10 Feet Ceiling, Upgraded Kitchen, Upgraded Washrooms, All Aaa Appliances, With Long-Big Balcony

Price History
5/12/2021 Listed $999,999

General Features

Area Toronto
Basement None
Community Waterfront Communities C1
Ensuitelaundry Yes
Exposure E
Extras High-End Appliances In Kitchen, Extended Cabinets, Hardwood And Marble Floors. Granite, Marble, Quartz Counter Tops With Upgraded Back Flash
Heater Type Forced Air
Maintenance 662.13
Municipality Toronto
Parking Spaces 1
Pets Allowed Restrict
Property Sub Type Condo Apt
Rooms 4
Square Footage Range 700-799
Status A
Style Apartment
Tax Year 2020
Taxes 3886.08
Unit 36
Water Included Yes

Interior Features

A/C Central Air
BedroomsPlus 1
Family Room No
Fireplacestove No
Heat Source Gas
Heatincluded Yes
Kitchens 1
Laundrylevel Main
Level 9
Total Bedrooms 1
Washrooms 2

Exterior Features

Balcony Open
Exterior Concrete
Garage Park Spaces 0.0
Garage Type Undergrnd
Parking Type Owned
Parkingdrive Undergrnd
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 M5E 0A5

Price
AVG $1.24M
$1,000K
Taxes
AVG $6,308
$3,886
Visits
AVG 32
41
Walkscore
AVG 81
78
Data Provided by Walkscore ® not using MLS data