138 Huron St, Gf Toronto, ON
$ 2,900
Property Attributes
  • ID#C5180920
  • TypeRentals
  • CityToronto
  • AreaKensington-Chinatown
  • NeighbourhoodToronto C01
  • Postal CodeM5T 2B2
  • Style2-Storey
  • Price$ 2,900
  • Bedrooms2
  • Full Bathrooms2
  • Half Bathrooms0
  • Sqr Footage1100-1500
Listing Provided Courtesy Of:
Data Source:
Toronto Real Estate Board
Property Description

Fully Renovated(2018) Duplex For Lease. Modern Living, (Main & Lower Level Only). Walk Score 100. Walk To College And Spadina Ave And All Amenities Near By. 2 Bedrooms, 2 Washrooms, Modern Kitchen With Granite Counter Top, Stainless Steel Appliances, Fridge, Stove, Front-Loading Washer & Dryer(Lg), Bosch Dishwasher, Microwave. The Bright Lower Level Has Above Ground Windows. One Parking

Price History
4/6/2021 Listed $2,900

General Features

Area Toronto
Basement Finished
Community Kensington-Chinatown
Extras Main Level: Kitchen, Island(Breakfast Bar), Dining And Living Area, Master Bedroom, 3 Pcs Bathroom, Washer & Dryer, Lower Level : Above Ground Windows, Family Room, 2nd Bedroom, 4 Pcs Bathroom
Features School
Features Public Transit
Garage Spaces 0.0
Heater Type Forced Air
Municipality Toronto
Parking Spaces 1
Property Sub Type Duplex
Rooms 6
Square Footage Range 1100-1500
Status A
Style 2-Storey
Water Municipal
Water Included Yes

Interior Features

A/C Central Air
Family Room Yes
Fireplacestove No
Furnished Y/N No
Heat Source Gas
Heatincluded Yes
Kitchens 1
Laundryaccess Ensuite
Laundrylevel Main
Total Bedrooms 2
Washrooms 2

Exterior Features

Drive None
Exterior Brick
Frontingonnsew W
Garage Type None
Parkingincluded No
Pool Y/N None
Private Entrance Yes
Sewers Sewers


  • 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 M5T 2B2

AVG 25
AVG 98
Data Provided by Walkscore ® not using MLS data