Taman Peranginan Mutiara

Jln Siakap 2, Taman Pantai Dickson, 71050 Port Dickson, Negeri Sembilan, Malaysia

Property Transactions

10 subsales grouped by road

Median
RM341,500
PSF
RM56
Period
transactions middle 50% (P25–P75)
RM545,000
7,933 sqft
RM69 PSF
RM550,000
7,459 sqft
RM74 PSF
RM260,000
5,845 sqft
RM44 PSF
RM238,000
5,845 sqft
RM41 PSF
RM313,000
6,351 sqft
RM49 PSF
RM250,000
6,674 sqft
RM37 PSF
RM300,000
5,403 sqft
RM56 PSF
RM430,000
5,403 sqft
RM80 PSF
RM380,000
5,403 sqft
RM70 PSF
RM370,000
6,857 sqft
RM54 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM341,500

RM55 psf

Median transaction price

Taman Peranginan Mutiara
© OpenStreetMap · CARTO

Taman Peranginan Mutiara, Jln Siakap 2, Taman Pantai Dickson, 71050 Port Dickson, Negeri Sembilan, Malaysia

Maps

Taman Peranginan Mutiara in Port Dickson, Negeri Sembilan recorded 10 subsale transactions between 2021 and 2026, with a median price of RM342K and a median price per square foot (PSF) of RM56.

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 RM342K, with most transactions falling within a stable range of RM257K to RM427K, and a typical market range of RM268K to RM415K.

Most transactions involved detached, with minimal variety in property types.

Price per square foot shows a median of RM56, though individual units vary from RM42 to RM70 in the core range. The broader market spans RM43.27 to RM67.77, indicating diverse property characteristics. A wider spread (IQR: RM24.50) and deviation (MAD: RM14) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.