#206 -55 LOMBARD ST Toronto, ON
$ 2,050
Property Attributes
  • ID#C5111683
  • TypeRentals
  • CityToronto
  • NeighbourhoodChurch-Yonge Corridor
  • Postal CodeM5C 2R7
  • StyleApartment
  • Price$ 2,050
  • Bedrooms1+1
  • Full Bathrooms2
  • Half Bathrooms0
Listing Provided Courtesy Of:
James Dong with Right At Home Realty Inc.
Data Source:
Property Description

The Bentley, Luxury Boutique Building In The Heart Of The Financial District. With An Award Winning Roof Terrace W/Heated Salt Water Pool And Bbqs. Concierge. Walk To St. Lawrence Market, Financial District, The Eaton Centre. Over 1000 Sq Ft, Oversized Master Bedroom, Modern Sliding Doors With Lock On For The Den/Second Bedroom. A Very Large Living Space. Spacious Kitchen With Lots Of Cupboards And Counter Space With A Large Laundry Room**** EXTRAS **** Fridge, Stove, Dishwasher, Washer And Dryer, Microwave (id:27)

General Features

Amenities Recreation Centre
Amenities Nearby Park, Public Transit
Beds 1+1
Building Type Apartment
Community Features Pets not Allowed
Garage no
Listing Type Condo
Neighbourhood Church-Yonge Corridor
Parking no
Property Type Single Family
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 2

Exterior Features

Exterior Finish Brick
Pool Type Outdoor pool
Pool Y/N no

Room Details

Room Dimensions Level Flooring Details
Den 2.13 m x 3.29 m Main Level
Dining 3.53 m x 3.22 m Main Level
Kitchen 3.6 m x 3.2 m Main Level
Laundry 2.71 m x 1.61 m Main Level
Living 5.35 m x 3.54 m Main Level
Master Bedroom 4.82 m x 3.56 m Main Level


  • 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 M5C 2R7

AVG 54
AVG 98
Data Provided by Walkscore ® not using MLS data