Address
60 Joe Shuster Way Toronto, ON
Price
$ 2,095
Property Attributes
  • MLS#W5071466
  • Type
  • CityToronto
  • AreaSouth Parkdale
  • NeighbourhoodToronto W01
  • Postal CodeM6K 1Y8
  • Style2-Storey
  • Price$ 2,095
  • Bedrooms1
  • Full Bathrooms1
  • Half Bathrooms0
  • Sqr Footage849
Listing Provided Courtesy Of:
Property Description

Available Immediately! 2 Storey, One Bedroom Plus Den Townhouse Features Open Concept Living/Dining Area. Laminate Flooring, Gas Fireplace, Walkout To Terrace Patio, Spacious Bedroom, Large Den Can Be Used As A Second Bedroom. Parking Available With Street Permit Or For Rent Underground. Within Walking Distance To Ttc, Restaurants, Longos Supermarket & More!

Price History
12/29/2020 Listed $2,095

General Features

Area Toronto
Basement None
Community South Parkdale
Exposure Nw
Extras Fridge, Stove, Exhaust Hood, Stacked Washer And Dryer, Gas Fireplace, All Light Fixtures, All Window Coverings, Wardrobe In Master Bedroom, Bed Frame + Boxspring
Features Public Transit
Heater Type Forced Air
Lease Term 1 Year
Municipality Toronto
Pets Allowed No
Property Sub Type Condo Apt
Square Footage Range 800-899
Status A
Style 2-Storey
Unit 328
Water Included No

Interior Features

A/C Central Air
BedroomsPlus 1
Family Room No
Fireplacestove Yes
Furnished Y/N No
Heat Source Gas
Heatincluded No
Kitchens 1
Laundryaccess Ensuite
Laundrylevel Main
Level 1
Rooms 5
Total Bedrooms 1
Washrooms 1

Exterior Features

Balcony Terr
Exterior Brick
Garage Park Spaces 0.0
Garage Type None
Parking Type Common
Parkingdrive Surface
Parkingincluded No
Private Entrance Yes

Amenities

  • Foreclosure
  • Views
  • Short Sale
  • 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 M6K 1Y8

Price
AVG $K
$K
Visits
AVG 5
8
Walkscore
AVG 91
91
Data Provided by Walkscore ® not using MLS data

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