Perindustrian Lukut Indah

Jalan Seremban, Taman Port Dickson, 71010 Port Dickson, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,950 sqft
2-Sty Shop
RM469,000
Jalan S, Ban/P. Dickson
2,971 sqft · RM158 PSF
RM250,000
Jalan S
2,971 sqft · RM84 PSF
RM350,000
Jalan S,Ban/P. Dickson
2,971 sqft · RM118 PSF
RM300,000
Jalan Seremban/P. Dickson
2,971 sqft · RM101 PSF
RM260,000
Pekan Lukut
2,971 sqft · RM88 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM300,000

RM101 psf

Median transaction price

Perindustrian Lukut Indah
© OpenStreetMap · CARTO

Jalan Seremban, Taman Port Dickson, 71010 Port Dickson, Negeri Sembilan, Malaysia

Maps

Perindustrian Lukut Indah in Port Dickson, Negeri Sembilan recorded 5 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM101.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM300K, with most transactions falling within a stable range of RM250K to RM380K, and a typical market range of RM250K to RM365K.

Within the Double Storey Shop category, 2 - 2 1/2 storey shop dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM101, though individual units vary from RM74 to RM128 in the core range. The broader market spans RM67.48 to RM134.48, indicating diverse property characteristics. A wider spread (IQR: RM67.00) and deviation (MAD: RM27) 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.