Residential Property - Condominium in Winter Park
Listing Price: $99,900 (Mortgage Calculator →)Cumulative Days on Market: 252
Description of Property
Excellent opportunity to own this second-floor, 2-bedroom, 1/1-bath condo in a Conveniently location close to healthy centers, excellent schools, restaurants and shopping with easy access to Costco, Walmart, and various dining options. Only 4 miles from Winter Park SunRail Train Station and 20 minutes from Orlando International Airport. This unit offers a cozy living/dining area with sliding doors leading to a private balcony that includes extra storage.
Property Details At A Glance
Property Type: Residential
Property Use or Sub Type: Condominium
City: Winter Park
County: Orange
Subdivision: Winter Park Woods Condo
Bedrooms: 2
Bathrooms: 1
Half Baths: 1
Sq. Ft. Gross: 1,085
Sq. Ft. Living Area: 1,085
Cost per (heated) sqare foot: $92
Year built: 1974
Annual Tax: $1,660
HOA Fee: $950 Monthly
Taxes and fees can change periodically, and other fees may apply. Please check with your Suncoasteam agent for more details.
- Trash
Appliances: Washer
Flooring: Laminate
Pool & Waterfront Info
Private Pool: Not specified
Exterior & Construction
Construction: Wood Frame
Foundation: Block
Roof: Shingle
Exterior Features: Balcony
Floors Total: 2
Floors in Unit: Two
Cooling: Central Air
Heating & Fuel: Electric
Sewer: Public Sewer
Water Source: Public
Community Features: Tennis Court(s)
Lot Information
Lot Size (acres): 0.07
Lot Size (sq. ft.): 3,025 square feet
Front Exposure: East
Legal Description & Other Information
Parcel Number: 102230713002126
Zoning: R-3
Pets Allowed/Pet Policies: Yes
Tax Legal Desc.: WINTER PARK WOODS CONDO CB 6/70 BLDG B UNIT 126
Section: 10
Range: 30
Listing courtesy of LPT REALTY, LLC. The information relating to real estate for sale on this website comes in part from the My Florida Regional MLS DBA Stellar MLS. This information is provided exclusively for consumers' personal, non-commercial use. It may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing. The data is deemed reliable but is not guaranteed accurate by the MLS.