Refine Search
Map
Sort by
$660,000
3 Beds ⋅ 4 Baths ⋅ 4297876 MLS ⋅ CLOSED Status
Rustic charm meets endless potential in this 3BD/3BA mountain cabin on 2.69 private acres, just 10 minutes from downtown Highlands. Vaulted ceilings and exposed wood beams highlight the spacious kitchen, dining, and living areas, creating a warm lodge-style atmosphere. The chef’s kitchen boasts a large commercial-grade gas stove, brick flooring, island with sink, and rustic Italian-inspired design. Natural light floods the space through oversized windows and a skylight, while the dining room features lighted built-in cabinets perfect for entertaining. Relax by the woodburning fireplace in the living room, or enjoy the screened porch overlooking your wooded retreat. Outdoors, a small creek with waterfalls adds to the peaceful setting, and the recently replaced back deck provides the perfect gathering spot. The large finished basement with full bath offers additional living or recreation space. With main-level living, country privacy, and town convenience, this cabin needs a little TLC but offers incredible opportunity to create your dream mountain getaway. Located just around the corner from Blue Valley in Nantahala National Forest where you can enjoy bike riding, hunting & fishing, hiking to Picklesiemer Rock House and other trails. Enjoy nearby downtown Highlands NC for upscale boutique shopping, fine dining, outdoor music venues, art galleries and more.

70 Wisteria Lane, Highlands

Listing courtesy of Great Smokys Realty. Christy@4smokys.com

Sold listing courtesy of Canopy Administration

“ Based on information submitted to the MLS GRID as of . All data is obtained from various sources and may not have been verified by broker or MLS GRID. Supplied Open House Information is subject to change without notice. All information should be independently reviewed and verified for accuracy. Some IDX listings have been excluded from this website. Properties may or may not be listed by the office/agent presenting the information © 2026 Canopy MLS as distributed by MLS GRID”

Last Updated: