1601 Big Tree Road Unit 408, Daytona Beach, FL 32119
- $127,500
- 2
- BD
- 2
- BA
- 864
- SqFt
- List Price
- $127,500
- MLS#
- 1230543
- Property Type
- Condominium
- Bedrooms
- 2
- Bathrooms
- 2
- Living Area
- 864
- Lot Size
- 348,480
- Region
- 31 - Daytona S of Beville, W of Nova
- County
- Volusia
- Acres
- 8
- Year Built
- 1989
Property Description
Fresh, stylish & move-in ready! This impeccably, well-maintained 2nd floor 2bed/1.5bath condo boasts a bright, modern feel w/ luxury vinyl plank floors throughout, updated lighting & recessed lighting in both bedrooms. The crisp white kitchen features stainless appliances, stylish backsplash, ample cabinetry, & an arched openings adding ideal architectural character. Both bedrooms are comfortably sized, & front balcony allows space to enjoy the Florida air. Popcorn ceilings have been removed, appliances replaced in 2022, and A/C is serviced twice yearly. Add covered assigned parking & this condo makes easy living look good. Updates beyond the front door include the recent association-completed improvements of newer roof, fresh exterior paint, & updated breezeway epoxy in 2026. Remarkably centrally located, minutes from; ERAU, DSC, Palmer, major roads & highways, World Famous Daytona Beach, medical facilities, shopping & dining, Daytona Intl Airport & the rest of Daytona all close by.
Additional Information
- Roof
- Shingle
- Appliances
- Dryer, Dishwasher, Electric Range, Microwave, Refrigerator, Washer
- Lot Size
- 348,480
- Year Built
- 1989
- Sewer
- Public Sewer
- Heating
- Central, Heat Pump
- Subdivision
- Yorktowne Estates
- Unit
- 408
- Water
- Public
- Living Area
- 864
- Appliances
- Dryer, Dishwasher, Electric Range, Microwave, Refrigerator, Washer
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Listing courtesy of Your Realt.
© 2026 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.