Taman Desa Rusa

1, Jalan Desa Rusa, Taman Abu Zarim, 71050 Port Dickson, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC House
RM100,000
Jalan Desa Rusa 4
721 sqft · RM139 PSF
RM180,000
Lorong Desa Rusa 4
721 sqft · RM250 PSF
RM100,000
Jalan Desa Rusa 4
721 sqft · RM139 PSF
RM135,000
Lorong Desa Rusa 4
721 sqft · RM187 PSF
RM115,000
Jalan Desa Rusa 3
721 sqft · RM159 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM115,000

RM159 psf

Median transaction price

Taman Desa Rusa
© OpenStreetMap · CARTO

1, Jalan Desa Rusa, Taman Abu Zarim, 71050 Port Dickson, Negeri Sembilan, Malaysia

Maps

Taman Desa Rusa in Port Dickson, Negeri Sembilan recorded 5 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM115K and a median price per square foot (PSF) of RM159.

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 RM115K, with most transactions falling within a stable range of RM100K to RM145K, and a typical market range of RM100K to RM134K.

Within the Low-Cost House category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM159, though individual units vary from RM118 to RM201 in the core range. The broader market spans RM146.71 to RM172.21, indicating diverse property characteristics. A wider spread (IQR: RM25.50) and deviation (MAD: RM41) 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.