| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM170,000
|
RM268
|
635 sqft
|
|
|
|
Level 7
|
RM200,000
|
RM300
|
667 sqft
|
|
|
|
Level 8
|
RM243,000
|
RM376
|
646 sqft
|
|
|
|
Level 5
|
RM200,000
|
RM310
|
646 sqft
|
|
|
Level 2
|
RM180,000
|
RM261
|
689 sqft
|
|
|
|
Level 4
|
RM162,000
|
RM235
|
689 sqft
|
|
|
Level 8
|
RM200,000
|
RM227
|
883 sqft
|
|
|
|
Level 10
|
RM180,000
|
RM197
|
915 sqft
|
|
|
|
Level 10
|
RM300,000
|
RM336
|
893 sqft
|
|
|
|
Level 2
|
RM290,000
|
RM329
|
883 sqft
|
|
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Admiral Marina Cresent
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
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Market Snapshot
ResidentialRM200,000
RM284 psfMedian transaction price
5 1/2 Miles Jalan Pantai, 71050, Si Rusa, Tanjung Lembah, 71050 Port Dickson, Negeri Sembilan, Malaysia
MapsAdmiral Marina Cresent in Port Dickson, Negeri Sembilan recorded 10 subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM300.
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 RM200K, with most transactions falling within a stable range of RM175K to RM225K, and a typical market range of RM174K to RM226K.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM300, with core pricing between RM253 and RM347. Market pricing typically extends from RM258.32 to RM341.07, reflecting moderate variation in unit pricing. The spread of RM82.75 (IQR) and deviation of RM47 (MAD) suggest moderate price variations reflecting different property features.
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.