Residential Property - Single Family Residence in St Petersburg
Listing Price: $410,000 (Mortgage Calculator →)
Description of Property
EXTRA Large home three bedroom two baths potential 4 or even 5 bedroom 2300+ square feet can easily be converted into a more bedrooms lots of potential for a large family very large backyard and side yard oversize two car garage, new roof, newer windows, newer bathrooms, newer kitchen, newer, AC new hot water heater, newer washer and dryer MUST see will not last HIGH AND DRY NO FLOOD INSURANCE REQUIRED. PRIMARY BEDROOM ALSO HAS BUILT-IN OFFICE.
Property Details At A Glance
Property Type: Residential
Property Use or Sub Type: Single Family Residence
City: St Petersburg
County: Pinellas
Subdivision: Glen Ridge Manor
Bedrooms: 3
Bathrooms: 2
Sq. Ft. Gross: 2,323
Sq. Ft. Living Area: 1,443
Cost per (heated) sqare foot: $284
Year built: 1960
Annual Tax: $1,468
Taxes and fees can change periodically, and other fees may apply. Please check with your Suncoasteam agent for more details.
Appliances: Washer
Flooring: Laminate
Pool & Waterfront Info
Private Pool: Not specified
Exterior & Construction
Architectural Style: Traditional
Construction: Block
Foundation: Slab
Roof: Shingle
Exterior Features: Sliding Doors
Garage: Yes
Garage Spaces: 2
Floors in Unit: One
Cooling: Central Air
Heating & Fuel: Electric
Patio & Porch Features: Covered
Fencing: Fenced
Sewer: Public Sewer
Water Source: None
Lot Information
Lot Features: Oversized Lot
Lot Size (acres): 0.26
Lot Size (sq. ft.): 11,108 square feet
Front Exposure: North
Legal Description & Other Information
Parcel Number: 043116311400000090
Zoning: R-3
Tax Legal Desc.: GLEN RIDGE MANOR LOT 9 & E 37.50 FT OF LOT 8
Section: 4
Range: 16
Listing courtesy of CHARLES RUTENBERG REALTY INC. 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.