Address
10 CLEVELAND Street Thorold, ON
Price
$ 419,900
Property Attributes
  • ID#40061833
  • TypeSingle Family
  • CityThorold
  • AreaNiagara
  • NeighbourhoodThorold Proper
  • Postal CodeL2V 3K2
  • Style2 Storey
  • Price$ 419,900
  • Bedrooms2
  • Full Bathrooms2+0
  • Half Bathrooms0
  • Sqr Footage1110
Listing Provided Courtesy Of:
Adam Semenuk with Re/Max Garden City Realty Inc, Brokerage
Data Source:
RLP - CREA EN
Property Description

This house should be appealing to many different buyer's! First time home buyer, Investor, downsizing, or just looking for a house with a huge yard, here it is. This is a two bedroom home with a large upstairs bathroom that includes a soaker tub. The main floor is a good size and allows the home owner options for how they would like to use the space. For your convenience the main floor also has laundry. The basement is finished, complete with a kitchen and 3 piece bathroom.

General Features

Acres < 0.5
Beds 2
Garage no
Inclusions NEGOTIABLE
Listing Type House
Parking no
Terms SALE
Wheel Chair Access no
Zoning R

Interior Features

Basement Finish Fully Finished
Bedrooms 2
Fireplace no
Total Baths 2+0

Exterior Features

Lot Frontage 25.00
Pool Y/N no

Room Details

Room Dimensions Level Flooring Details
Bathroom Basement Level
Bathroom 2nd Level
Bedroom 3.20 x 2.84 2nd Level
Bedroom 3.89 x 3.15 2nd Level
Dining 4.65 x 3.17 Main Level
Kitchen 4.65 x 2.92 Main Level
Kitchen 4.65 x 2.92 Basement Level
Laundry 1.83 x 1.73 Main Level
Living 4.14 x 3.58 Main Level
Living 4.19 x 3.73 Lower
Office 4.65 x 3.17 Basement Level
Storage 1.83 x 1.65 2nd Level

Amenities

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

Property vs Postal Code Average in L2V 3K2

Price
AVG $420K
$420K
Visits
AVG 102
193
Year Built
AVG 1911
1911
Walkscore
AVG 64
64
Data Provided by Walkscore ® not using MLS data