Residential Property - Condominium in Winter Park
Listing Price: $138,000
Description of Property
Location, Location, Location. This 2 bedroom, two bath condo could be a perfect starter.
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: 2
Sq. Ft. Gross: 1,020
Sq. Ft. Living Area: 1,020
Cost per (heated) sqare foot: $135
Year built: 1974
Annual Tax: $1,332
Add'l Maint. Fee: $817
Taxes and fees can change periodically, and other fees may apply. Please check with your Realtor for more details.
- 24-Hour Guard
Appliances:
- Dishwasher
- Disposal
- Range
- Refrigerator
Accessibility Features:
Window Features:
Additional Rooms:
Ceiling Type:
Flooring: Ceramic Tile, Laminate
Pool & Waterfront Info
Private Pool: Not specified
Pool Features:
Spa Features:
Water Frontage:
Water Access: Not specified
Water Access Type:
Water View:
Exterior & Construction
Architectural Style:
Construction: Block
Foundation: Block
Roof: Shingle
Exterior Features: Other
Parking Features:
Floors Total: 2
Floors in Unit: One
Cooling: Central Air
Heating & Fuel: Central
Electric:
Patio & Porch Features:
Security Features:
Other Structures:
View:
Fencing:
Sewer: Public Sewer
Water Source: None
Community Features: Playground
Association Amenities:
Lot Information
Lot Features:
Lot Size (acres): 0.2
Lot Size (sq. ft.): 8,564 square feet
Front Exposure: North
Adjoining Property:
Current Adjacent Use:
Legal Description & Other Information
Parcel Number: 102230713013285
Zoning: R-3
Pets Allowed/Pet Policies: Cats OK, Dogs OK
Tax Legal Desc.: WINTER PARK WOODS CONDO CB 6/70 BLDG M UNIT 285
Section: 10
Range: 30
Listing courtesy of TRANSCONTINENTAL REALTY GROUP,. 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.