#bbbh
Address
#5207 -180 UNIVERSITY AVE Toronto, ON
Price
$ 1,495,000
Property Attributes
  • ID#C5454835
  • TypeCondos
  • CityToronto
  • NeighbourhoodBay Street Corridor
  • Postal CodeM5H 0A2
  • Style
  • Price$ 1,495,000
  • Bedrooms1
  • Bathrooms1
  • Half Bathrooms0
Listing Provided Courtesy Of:
ROYAL LEPAGE YOUR COMMUNITY REALTY
Data Source:
Canadian Real Estate Association
Property Description

Welcome To Luxurious ""Shangri-La"", A Private Estate Suite, (50th Floor & Above), Breathtaking View Of The City & Lake, 10'Ft. Ceilings, Upgraded Unit, Valet Parking Included. Hotel Room Service Available, House Keeping, Etc. 5 Star Amenities, Pool, Hot Tub, Steam Rm, Etc. Close To Theatres, Restaurants, Shopping. Spacious Unit, Great Layout, Great View!**** EXTRAS **** ""Miele"" Appliances, Gas Stove, Oven, Microwave, B/I Fridge, B/I Dishwasher, Exhaust Fan, Power Shades W/Remote Controls, Electric Fireplace, Granite Countertops, Marble Bathroom Walls & Floor.Locker Behind Parking Spot! Furniture Negotiable (id:7434)

General Features

Building Amenities Storage - Locker, Security/Concierge, Party Room, Sauna, Exercise Centre
Building Cooling Type Central air conditioning
Building Type Apartment
CommunityName Bay Street Corridor
Maintenance Fee 986.68
More Information Link https://www.realtor.ca/real-estate/23892233/5207-180-university-ave-toronto-bay-street-corridor
Ownership Type Condominium/Strata
Property Type Single Family

Interior Features

Building Fireplace Present True
Building Heating Fuel Natural gas
Building Heating Type Forced air

Exterior Features

Parking Space Total 1
Pool Type Indoor pool

Amenities

  • Views
  • New Construction
  • Adult 55+
  • Lease To Own
  • No Strata Fees
  • Furnished
  • Pets
  • Primary On Main
  • Air Conditioning
  • Seller Finance
  • Green
  • Fixer Upper
  • Horse
  • Golf
  • Fireplace
  • Deck
  • Garage
  • Basement
  • Pool

Property vs Condos Average in M5H 0A2

Price
AVG $2.12M
$1.5M
Visits
AVG 34
4
Walkscore
AVG 99
99
Data Provided by Walkscore ® not using MLS data

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