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Mike Gagliardi

*Your REALTOR*

  • Cell 386-337-3942
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1600 Big Tree Rd, Unit G4, Daytona Beach, FL – $1,150

  • $1.2k Price
  • 2 Beds
  • 2 Baths
  • 903 Sqft
  • $1.2k Price
  • 2 Beds
  • 2 Baths
  • 903 Sqft

1600 Big Tree Rd, Unit G4

Lovely GROUND floor 2 bed , 2 bath unit located in Georgetowne Lakes community is situated conveniently close to banks, schools, grocery stores and more and of course just minutes from the BEAUTIFUL BEACH. Split bedroom plan offers two full baths attached to each bedroom with ample closet space. Laminate flooring and granite counters throughout. New appliances and YES washer and dryer are inside the unit! All cabinetry is white for a refreshing modern look in this home. Screened patio area has extra storage too! Sparkling community pool and fitness room are yours to enjoy. This is a no pet, no smoking unit. Background and credit check required.One or two year lease being offered.

Essential Information

  • MLS® #1059288
  • Price$1,150
  • Bedrooms2
  • Bathrooms2.00
  • Full Baths2
  • Square Footage903
  • Year Built1986
  • TypeResidential Lease
  • Sub-TypeCondo Lease
  • StatusActive

Community Information

  • Address1600 Big Tree Rd, Unit G4
  • Condo NameGeorgetowne Lake
  • CityDaytona Beach
  • CountyVolusia
  • StateFL
  • Zip Code32119

Area

31 - Daytona S of Beville, W of Nova

Amenities

  • UtilitiesCity Water

Features

Homeowners Associati, Rental Restrictions

Interior

  • InteriorLaminate
  • Interior FeaturesSplit Bedroom
  • CoolingCentral

Appliances

Dishwasher, Dryer, Microwave, Range, Refrigerator, Washer

Exterior

  • Exterior FeaturesPublic Bus
  • RoofShingle

Listing Details

Office

Villaggio on the Lakes Realty LLC

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Villaggio on the Lakes Realty LLC.

© 2019 Daytona Beach Area Association of REALTORS®

Information Courtesy of Daytona Beach Area Association of REALTORS® Multiple Listing Service

IDX 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, and data is deemed reliable but is not guaranteed accurate by the MLS.