Views - Pets Allowed
Address
151 Dan Leckie Way Toronto, ON
Price
$ 1,950
Property Attributes
  • MLS#C4886867
  • TypeRentals
  • CityToronto
  • AreaWaterfront Communities C1
  • NeighbourhoodToronto C01
  • Postal CodeM5V4B2
  • StyleApartment
  • Price$ 1,950
  • Bedrooms1
  • Full Bathrooms1
  • Half Bathrooms0
  • Sqr Footage600-699
Listing Provided Courtesy Of:
HOMELIFE LANDMARK REALTY INC., BROKERAGE
Property Description

Parade 2 - Unobstructed City View 1+Den. Enjoy The Tranquility Of The Canoe Landing Park, Close To The Entertainment District, Steps To The Lake, Ttc, Restaurants, Banks, Rogers Centre, Cn Tower, Ripley's Aquarium And Much More. Laminate Floor, Floor To Ceiling Windows And Balcony, Ensuite Washer/Dryer, 24-Hr Concierge, Den Can Be Used As A 2nd Bedroom.

Price History
8/27/2020 Listed $1,950

General Features

Area Toronto
Basement None
Building Amenities Concierge
Community Waterfront Communities C1
Elevator No
Exposure No
Extras Stove, Fridge, Microwave, Washer/Dryer, Light Fixture, Window Coverings
Heater Type Forced Air
Lease Term 1 Year
Municipality Toronto
Pets Allowed Restrict
Square Footage Range 600-699
Status A
Style Apartment
Unit 17
Water Included Yes

Interior Features

A/C Central Air
BedroomsPlus 1
Central Vac No
Family Room No
Fireplacestove No
Furnished Y/N No
Heat Source Gas
Heatincluded Yes
Kitchens 1
Laundryaccess Ensuite
Laundrylevel Main
Level 3
Rooms 5
Total Bedrooms 1
Washrooms 1

Exterior Features

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

Amenities

  • 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 M5V4B2

Price
AVG $K
$K
Visits
AVG 6
3
Walkscore
AVG 82
82
Data Provided by Walkscore ® not using MLS data

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