1520 Murphy Hill Road, Langston, AL 35755
- $216,000
- 1
- BD
- 1.5
- BA
- 650
- SqFt
- List Price
- $216,000
- Price Change
- ▼ $3,000 1789083836
- Status
- ACTIVE
- MLS#
- 21914502
- Days on Market
- 156
- Property Type
- Single Family Residential
- Property Sub Type
- Single Family Residence
- Bedrooms
- 1
- Baths
- 1.5
- Full Baths
- 1
- Half Baths
- 1
- Lot Size (Acres)
- 0.8200000000000001
- Sq. Ft
- 650
- Year Built
- 2022
- Parcel
- 0607350000010.006 / .008
Property Description
Charming lake-area retreat at 1520 Murphy Hill Road in Langston, AL, located directly across from Lake Guntersville. This cozy, cabin-style home features wood walls, vaulted ceilings, and an open living/eat-in kitchen with ample cabinetry. Offering approx. 1,200 sq ft total, including 650 sq ft of living space and a 550 sq ft enclosed garage ideal for boat or jet ski storage. Enjoy a covered porch, 16x24 covered patio, and firepit area for outdoor relaxation. Currently used as a rental with strong potential. Convenient to public boat ramps, Guntersville State Park, High Falls, and Bucks Pocket. Call today for your tour!
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Additional Information
- Appliances
- Range, Microwave, Refrigerator, Dryer, Washer
- Architectural Style
- Ranch/1 Story
- Exterior Features
- Park Near By, Drive-Gravel
- Stories
- One
- Parking Features
- Garage-Attached, Garage Faces Front, Driveway-Gravel, Oversized
- Elementary School
- Asbury Elementary School
- Middle School
- Asbury Middle School
- High School
- Asbury
- Appliances
- Range, Microwave, Refrigerator, Dryer, Washer
- Heating
- Electric, Wall Furnace
- Cooling
- Electric
- Fireplace Features
- None
- Sewer
- Septic Tank
- Subdivision
- Metes And Bounds
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Listing courtesy of Century 21 Bellora.
Listing data is derived in whole or in part from NALMLS and is for consumers' personal, non-commercial use only. All data should be independently verified..
This information is provided exclusively for consumers' personal, non-commercial use and may not be used for any purpose other than to identify prospective properties consumers may be interested in purchasing. Data is deemed reliable but not guaranteed.