Property Listing Details
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- Price:
- $419,000
- MLS Number:
- 2607011
- Address:
- 1917 GRANDVIEW CT
- Subdivision:
- SEASIDE FARMS *
- Subsection:
- MARAIS
- City:
- Mount Pleasant
- Area:
- Mt. Pleasant Out To Hwy 41
- County:
- Charleston
- ZIP:
- 29464
Neighborhood Information
- Bedrooms:
- 3
- Full Bathrooms:
- 3
- Half Bathrooms:
- 0
- Category:
- Residential
- Square Feet:
- 1,880 ft²
- Year Built:
- 2002
- Parking:
- 2 Car Garage
- Stories:
- 2 Story
- Style:
- Traditional, Chas. Single
- Kind:
- Townhouse
- Lot Description:
- Level, Lakefront
- Exterior Features:
- Cement Plank
- Miscellaneous Features:
- Deck, In Grd Pool In Yard, Lawn Irriga.
- Rooms:
- Family, Sep Dining, Laundry
- Amenities:
- Cable Avail, Trash Pickup, Neighborhood Pool
- Unit Number:
- 53
Home Features
- Elementary School:
- Mamie Whitesides
- Middle School:
- Laing
- High School:
- Wando
School Information
"One Of A Kind Townhome Located In The Marias At Seaside Farms. This Three Bedroom Three Bath Home Has Remarkable Marshviews. High Quality Features Include Hardwood Floors, A New Bosch Dishwasher, 9' Ceilings With Crown Molding, And Fire Place In The Family Room. Freshley Painted And New Granite Countertops In The Kitchen. Also Wired For An Elevator. Quality Window Treatments Up And Downstairs All Convey. Seller Will Pay $2500 Towards Buyers Closing Costs."

- The Keadle Group
- Carolina One Real Estate
- Lee's Cell: (843) 532-8615
- Katherine's Cell: (843) 478-0205
- Office: (843) 847-0239
- Email us at lkeadle@carolinaone.com
Lising Provided Courtesy Of: The Beach Company
The data relating to real estate for sale on this web site comes in part from the Broker ReciprocitySM Program of the Charleston Trident Multiple Listing Service. Real estate listings held by brokerage firms other than Prudential Carolina Real Estate are marked with the Broker ReciprocitySM logo or the Broker ReciprocitySM thumbnail logo (a little black house) and detailed information about them includes the name of the listing brokers.
The broker providing these data believes them to be correct, but advises interested parties to confirm them before relying on them in a purchase decision.
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