| Road | Price | PSF | Size | Date | Type |
|---|
Selling in Admiral Cove? Homes here sold for a median of RM260,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Admiral Cove
No posts about Admiral Cove yet. Be the first to share what’s happening here.
Nearby areas in Si Rusa
Taman Intan Perdana
Taman Bukit Perdana
Tanjong Tuan Condo
Taman Sunggala Hartamas
Taman Jenahak
Bayu Beach Resort
Taman Tkk
Taman Desa Rusa
Taman Ikan Emas (Pd)
Admiral Cove
Admiral Marina Bay
Golden Straits Villas
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Si Rusa
Market Snapshot
ResidentialRM260,000
RM268 psfMedian transaction price
5 ½ Mile, Jalan Pantai, Tanjung Lembah, 71050 Port Dickson, Negeri Sembilan, Malaysia
MapsAdmiral Cove in Port Dickson, Negeri Sembilan recorded 3 subsale transactions in 2024, with a median price of RM260K and a median price per square foot (PSF) of RM268.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM260K, with most transactions falling within a stable range of RM232K to RM268K, and a typical market range of RM240K to RM268K.
Most transactions involved condominium/apartment, with minimal variety in property types.
Price per square foot shows a median of RM268, though individual units vary from RM160 to RM376 in the core range. The broader market spans RM191.72 to RM343.72, indicating diverse property characteristics. A wider spread (IQR: RM152.00) and deviation (MAD: RM108) indicate significant PSF variations, likely due to diverse property types or conditions.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.