Address
53 CITADEL DR Toronto, ON
Price
$ 929,000
Property Attributes
  • ID#E5471247
  • TypeSingle Family
  • CityToronto
  • NeighbourhoodEglinton East
  • Postal CodeM1K 4S3
  • StyleDetached
  • Price$ 929,000
  • Bedrooms3
  • Bathrooms2
  • Half Bathrooms0
Listing Provided Courtesy Of:
Tony Mauro with Re/Max Hallmark Realty Ltd.
Data Source:
RLP - CREA EN
Property Description

Immaculate Solid Brick 3 Bedroom Bungalow In A Great Location! L-Shaped Living And Dining Area, Hardwood Floors Thru-Out, Updated 4 Pc Bathroom. Two Separate Entrances To A Finished Potential In-Law Suite, Rear Walk-Up From Kitchen, Large Rec Room, Newer Windows, Roof And Electrical Panel, New Concrete Side Yard Walkway To South Facing Back Yard. Convenient Location Walk To Plaza, Ttc, Schools And Shopping. Move In And Enjoy!**** EXTRAS **** 2 Fridges, 2 Stoves, Washer And Dryer, All Electric Light Fixtures, Storms And Screens, Gas Burner And Equipment, Central Air Conditioning, Shed In Backyard, Hot Water Tank (R). **May 2021 Home Inspection Report Available Upon Request** (id:27)

General Features

Beds 3
Parking Spaces 4

Interior Features

Bedrooms 3
Bedrooms Above 3
Total Baths 2

Exterior Features

Lot Size 42 x 121.41 FT ; Irregular As Per Mpac
Jumpid 16834587

Room Details

Room Dimensions Level Flooring Details
2nd Bedroom 3.35 m x 2.74 m Main Level
3rd Bedroom 3.14 m x 2.83 m Main Level
Dining 1.95 m x 3.14 m Main Level
Kitchen 6.8 m x 3.35 m Lower Level
Kitchen 2.83 m x 3.11 m Main Level
Laundry 6.86 m x 3.96 m Lower Level
Living 3.69 m x 5.52 m Main Level
Master Bedroom 3.14 m x 3.84 m Main Level
Recreation Room 3.93 m x 5.67 m Lower Level

Amenities

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

Property vs Single Family Average in M1K 4S3

Price
AVG $930K
$930K
Walkscore
AVG 38
38
Data Provided by Walkscore ® not using MLS data