Views
Address
#4709 -180 UNIVERSITY AVE Toronto, ON
Price
$ 7,200
Property Attributes
  • MLS#C4886951
  • TypeRentals
  • CityToronto
  • NeighbourhoodBay Street Corridor
  • Postal CodeM5H0A2
  • StyleApartment
  • Price$ 7,200
  • Bedrooms2
  • Full Bathrooms3
  • Half Bathrooms0
Listing Provided Courtesy Of:
Property.Ca Inc.
Property Description

Live In Luxury At The Shangri-La! 1,586 Sqft + Large Balcony South East Corner Suite On The 47th Floor In This Incredible 5 Star Hotel & Residence. Stunning Views Of Downtown, The Lake, Cn Tower & Skydome, Especially At Sunrise & Sunset. Designer Kitchen With Massive Marble Island, Miele & Sub-Zero Appliances. 2 Large Bedrooms With 3 Incredible Washrooms - All White Marble & A Walk In Closet. Fireplace In The Living Room & Roller Blinds Throughout.**** EXTRAS **** Living Shangri-La With 5 Star Hotel Amenities Including Room Service, Valet Parking, Car Detailing, Indoor Pool, Jacuzzi, Spa, Sauna, Best Gym In The City, 24 Hour Concierge. Available Furnished Or Unfurnished. (id:27)

Price History
8/26/2020 Listed $7,200

General Features

Amenities Sauna, Exercise Centre
Amenities Nearby Public Transit
Beds 2
Building Type Apartment
Features Balcony
Garage no
Listing Type Condo
Parking no
Property Type Single Family
Terms LEASE
Wheel Chair Access no

Interior Features

Bedrooms 2
Bedrooms Above 2
Cooling Type Central air conditioning
Fireplace no
Heating Fuel Natural gas
Heating Type Forced air
Total Baths 3

Exterior Features

Exterior Finish Concrete
Parking Type Underground, Visitor parking
Pool Type Indoor pool
Pool Y/N no
View Type View

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 M5H0A2

Price
AVG $10K
$10K
Visits
AVG 3
18
Walkscore
AVG 99
99
Data Provided by Walkscore ® not using MLS data

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