##604 -8 MERCER ST Toronto, ON
$ 609,000
Property Attributes
  • ID#C5147220
  • TypeCondos
  • CityToronto
  • NeighbourhoodWaterfront Communities C1
  • Postal CodeM5V 0C4
  • StyleApartment
  • Price$ 609,000
  • Bedrooms1
  • Full Bathrooms1
  • Half Bathrooms0
Listing Provided Courtesy Of:
Diana Tao with Homelife New World Realty Inc.
Data Source:
Property Description

Location! Location! A Perfect Floorplan On 1 Bed, 1 Bath Condo & Best Private Sunny Terrace With Perfect Balance Of Live, Work And Play. Layout Maximizes Space And Natural Light. Modern Finishes: Quartz Counters, Sliding Bedroom Glass Doors + New Laminate Flooring Throughout. Fits A Queen Sized Bed. Amenities: Fitness Center With Hot Tub. Screening Room, Meeting Room, Terrace With Private Lounges, Bbq, Kitchen, Dining Area And Visitor Prking & 24 Hr Concierge**** EXTRAS **** Includes All Appliances (Ss Built-In Microwave, Ss Stove/Oven, Integrated Dishwasher, Fridge/Freezer, & Stacked Washer/Dryer) All Elfs And Window Coverings. (id:27)

General Features

Amenities Party Room, Sauna, Exercise Centre
Amenities Nearby Park, Public Transit
Beds 1
Building Type Apartment
Garage no
Listing Type Condo
Neighbourhood Waterfront Communities C1
Parking no
Property Type Single Family
Terms SALE
Wheel Chair Access no

Interior Features

Bedrooms 1
Bedrooms Above 1
Cooling Type Central air conditioning
Fireplace no
Heating Fuel Natural gas
Heating Type Forced air
Total Baths 1

Exterior Features

Parking Type Underground
Pool Y/N no

Room Details

Room Dimensions Level Flooring Details
Kitchen 4.21 m x 3.69 m Main Level
Living 4.21 m x 3.69 m Main Level
Master Bedroom 3.35 m x 2.47 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 M5V 0C4

AVG $650K
AVG 19
AVG 97
Data Provided by Walkscore ® not using MLS data