Address
#1011 -14 YORK ST Toronto, ON
Price
$ 1,695
Property Attributes
  • ML#C5099191
  • TypeRentals
  • CityToronto
  • NeighbourhoodWaterfront Communities C1
  • Postal CodeM5J 2Z2
  • StyleApartment
  • Price$ 1,695
  • Bedrooms1+1
  • Full Bathrooms1
  • Half Bathrooms0
Listing Provided Courtesy Of:
Suman Umesh Ahuja with Cityscape Real Estate Ltd.
Data Source:
RLP - CREA EN
Property Description

Ice 2, Modern Building With Access To Path, Short Walk To Union Station Close To Cn Tower, Rogers Center, Air Canada Center And Minutes To Lake Shore, Floor To Ceiling Windows And Panoramic View, Close To Financial District. Restaurants In The Area**** EXTRAS **** Existing Fridge, Cook Top, B/I Dishwasher, B/I Microwave, Clothes Washer And Dryer, All Electrical Light Fixtures. All Window Coverings (id:27)

General Features

Amenities Storage - Locker, Exercise Centre, Recreation Centre
Amenities Nearby Marina, Public Transit
Beds 1+1
Building Type Apartment
Features Balcony
Garage no
Listing Type Condo
Neighbourhood Waterfront Communities C1
Parking no
Property Type Single Family
Terms LEASE
Wheel Chair Access no

Interior Features

Bedrooms 1+1
Bedrooms Above 1
Bedrooms Below 1
Cooling Type Central air conditioning
Fireplace no
Heating Fuel Natural gas
Heating Type Heat Pump
Total Baths 1

Exterior Features

Exterior Finish Concrete
Pool Type Indoor pool
Pool Y/N no

Room Details

Room Dimensions Level Flooring Details
Dining 4.45 m x 4.02 m Main Level
Kitchen 4.45 m x 4.02 m Main Level
Laundry Main Level
Living 4.45 m x 4.02 m Main Level
Master Bedroom 3.05 m x 2.83 m Main Level
Study 1.52 m x 1.52 m Main Level

Amenities

  • 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 M5J 2Z2

Price
AVG $K
$K
Visits
AVG 25
120
Walkscore
AVG 90
89
Data Provided by Walkscore ® not using MLS data