Taman Perindustrian. Perdana Lukut

Taman Perindustrian Perdana Bukit Palong, Lukut, Negeri Sembilan, Malaysia

Property Transactions

7 subsales found

Median
RM300,000
PSF
RM155
Price Size
Period
transactions middle 50% (P25–P75)
RM370,000
Jalan Perdana 6
1,938 sqft RM191 PSF
RM600,000
Jalan Perdana 3
1,938 sqft RM310 PSF
RM375,000
Jalan Perdana 5
1,938 sqft RM194 PSF
RM260,000
Jalan Perdana 5
1,938 sqft RM134 PSF
RM300,000
Jalan Perdana 5
1,938 sqft RM155 PSF
RM220,000
Jalan Perdana 4
1,938 sqft RM114 PSF
RM277,000
Jalan Perdana 4
1,938 sqft RM143 PSF
Legend Recent Highest Price Highest PSF

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Taman Perindustrian. Perdana Lukut
© OpenStreetMap · CARTO

Taman Perindustrian Perdana Bukit Palong, Lukut, Negeri Sembilan, Malaysia

Maps

Taman Perindustrian. Perdana Lukut in Port Dickson, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, sized between 1,925 and 1,974 sqft, with a median price of RM300K and a median price per square foot (PSF) of RM155.

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 RM220K to RM417K, and a typical market range of RM251K to RM349K.

Most transactions involved terraced factory/warehouse, with minimal variety in property types.

Price per square foot shows a median of RM155, though individual units vary from RM94 to RM215 in the core range. The broader market spans RM141.97 to RM167.72, indicating diverse property characteristics. A wider spread (IQR: RM25.75) and deviation (MAD: RM60) 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.