Address
9 9080 University Crescent Burnaby, BC
Price
$ 375,800
Property Attributes
  • ML#R2535932
  • TypeCondos
  • CityBurnaby
  • AreaBurnaby North
  • NeighbourhoodSimon Fraser Univer.
  • Postal CodeV5A 4X9
  • StyleEnd Unit,Ground Level Unit
  • Year Built2016
  • Taxes1251
  • Price$ 375,800
  • Bedrooms1
  • Full Bathrooms1
  • Half Bathrooms0
  • Sqr Footage591
Listing Provided Courtesy Of:
eXp Realty (Branch)
Data Source:
REAL ESTATE BOARD OF GREATER VANCOUVER
Property Description

A great opportunity to get into the Real Estate Market! A perfect 1 bedroom and 1 bath for the starter, investor or student located at the Altitude in the thriving SFU UniverCity! A spacious layout for your living and kitchen, a nice nook for a desk setup and a grand patio that faces a peaceful section of nature! The gym is located just one level up from this unit in the same building and lots of great amenities close by. Don't hesitate to book your private showing, this rare opportunity surely won't last!

General Features

Age 5
Features Elevator, Exercise Centre, In Suite Laundry
Maintenance Fee 377.20
Stories 1
Style End Unit, Ground Level Unit
Sub-area/community Simon Fraser Univer.
Title to Land Leasehold prepaid-Strata
Type of Dwelling Apartment/Condo
Year Built 2016

Interior Features

Floor Area -grand Total 591
Floor Area Fin - Main Flr 591

Exterior Features

Public Remarks A great opportunity to get into the Real Estate Market! A perfect 1 bedroom and 1 bath for the starter
Lot Size Area 0.00
Lot Sz (hectares) 0.00
Lot Sz (sq.ft.) 0.00
Lot Sz (sq.mtrs.) 0.00

Amenities

  • 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 V5A 4X9

Price
AVG $630K
$380K
Taxes
AVG $1,724
$1,251
Visits
AVG 73
113
Year Built
AVG 2010
2016
Walkscore
AVG 54
52
Data Provided by Walkscore ® not using MLS data