New Construction - Pets Allowed
Address
200 Bloor St W Toronto, ON
Price
$ 3,700
Property Attributes
  • MLS#C4817312
  • TypeRentals
  • CityToronto
  • AreaAnnex
  • NeighbourhoodToronto C02
  • Postal CodeM5S1T8
  • StyleApartment
  • Price$ 3,700
  • Bedrooms2
  • Full Bathrooms2
  • Half Bathrooms0
  • Sqr Footage800-899
Listing Provided Courtesy Of:
HOMELIFE LANDMARK REALTY INC., BROKERAGE
Property Description

In The Heart Of Toronto, Luxury Exhibit Residences At Yorkville Right Across From The Royal Ontario Museum . This Luxury 2 Fully Furnished Bedroom Corner Suite Steps To U Of Toronto & Financial District Condo Amenities Include Fitness, Party Room, Outdoor Garden, Lounge, Guest Suites And More! * All Furniture In The Picts Included

Price History
7/4/2020 Listed $3,700

General Features

ApproxAge New
Area Toronto
Basement None
Community Annex
Exposure Ne
Extras Miele Sub-Zero, Wolf And Miele Appliances: Fridge, B/I Dishwasher, Glass Cook Top, Stainless Steel Microwave Oven, Stainless Steel Hood Fan, Washer & Dryer, Quartz Counter Top
Heater Type Forced Air
Lease Term 1 Year
Municipality Toronto
Pets Allowed Restrict
Square Footage Range 800-899
Status A
Style Apartment
Unit 04
Water Included Yes

Interior Features

A/C Central Air
Family Room No
Fireplacestove Yes
Furnished Y/N Yes
Heat Source Gas
Heatincluded Yes
Kitchens 1
Laundryaccess Ensuite
Laundrylevel Main
Level 25
Rooms 5
Total Bedrooms 2
Washrooms 2

Exterior Features

Balcony Open
Exterior Concrete
Garage Park Spaces 0.0
Garage Type Other
Parking Type Owned
Parkingdrive Other
Parkingincluded Yes
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 M5S1T8

Price
AVG $K
$K
Visits
AVG 3
4
Walkscore
AVG 94
94
Data Provided by Walkscore ® not using MLS data

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