Address
#305 10531 117 ST NW Edmonton, AB
Price
$ 192,500
Property Attributes
  • ID#E4234495
  • TypeCondos
  • CityEdmonton
  • AreaEdmonton
  • NeighbourhoodQueen Mary Park
  • Postal CodeT5H 0A8
  • StyleSingle Level Apartment
  • Price$ 192,500
  • Bedrooms1
  • Bathrooms1
  • Half Bathrooms0
  • Sqr Footage671
  • Lot Size280 SqFt
Listing Provided Courtesy Of:
Jeff D Jackson with Bode
Data Source:
RLP - CREA EN
Property Description

This beautifully renovated 1 bdrm apt is close to downtown but without the noise and traffic. The open floor plan features 10-foot ceilings and crown moulding. This 3rd floor unit has modern laminate flooring throughout, 42in maple upper kitchen cabinets and stainless steel appliances. The 4-pc bathroom comes with tiled floors and a soaker tub. Insuite washer and dryer are in their own room. The west balcony with gas hookup overlooks a treed area and a quiet cul-desac street. It comes with underground heated parking and a storage locker. The apartment has its own utilities which is why condo fees are low ($233/month). The building has handicapped/wheelchair access, entrance control and 24 hr video surveillance. Located right by Oliver Square, the brewery district, groceries, restaurants, and other shops and services. Close to the river valley, golf courses, bike paths, Roger's Place and MacEwan University. Easy transit access when the new Valley Line LRT station gets built 1 block away.

General Features

Beds 1
Maintenancefees 233
Parking Spaces 1
Zoning 08

Interior Features

Bedrooms 1
Total Baths 1

Exterior Features

Lot Size 26.2
Jumpid 14672136

Amenities

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

Property vs Condos Average in T5H 0A8

Price
AVG $250K
$190K
Visits
AVG 64
483
Year Built
AVG 2007
2007
Walkscore
AVG 78
78
Data Provided by Walkscore ® not using MLS data