#611 -365 CHURCH ST Toronto, ON
$ 2,400
Property Attributes
  • ID#C5087777
  • TypeRentals
  • CityToronto
  • NeighbourhoodChurch-Yonge Corridor
  • Postal CodeM5B 1Z9
  • StyleApartment
  • Price$ 2,400
  • Bedrooms2
  • Full Bathrooms2
  • Half Bathrooms0
Listing Provided Courtesy Of:
Sarah Zhao with Homelife Landmark Realty Inc.
Data Source:
Property Description

Luxury 2Brs/2 Full Baths Luxury Condo At Highly Convenient Location! Very Bright & Spacious! Large Corner Suite W/Clear South-East Exposure Facing Quite Street. Very Functional Layout With Split Bedrooms And Ensuite. Quality Luxurious Features & Finishes. Laminate Flooring Throughout. Mins Walk To Ryerson U, Uoft, Loblaws & Subway, Yonge-Dundas Square, Eaton Centre**** EXTRAS **** Integrated Appliances [Refrigerator, Stove, Dishwasher, Rangehood, Microwave, Washer/Dryer. Tenant Pays Own Hydro. No Pets & Non Smokers. Amenities:24/7 Concierge, Gym, Party Rm. Theatre, Yoga Studio. Bbq, Media Lounge. Short Term Available (id:27)

General Features

Amenities Party Room, Exercise Centre
Beds 2
Building Type Apartment
Community Features Pets not Allowed
Features Balcony
Garage no
Listing Type Condo
Neighbourhood Church-Yonge Corridor
Parking no
Property Type Single Family
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 2

Exterior Features

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

Room Details

Room Dimensions Level Flooring Details
2nd Bedroom Main Level
Dining Main Level
Kitchen Main Level
Living Main Level
Master Bedroom 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 M5B 1Z9

AVG 30
AVG 96
Data Provided by Walkscore ® not using MLS data