Perindustrian Pontian Maju

Jalan Pontian Maju, 82000 Pontian, Johor Darul Ta'zim, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM1,825,000
PSF
RM27
Price Size
Period
transactions middle 50% (P25–P75)
43,550 sqft
Factory
RM1,000,000
Jalan Perindustrian 4
43,551 sqft · RM23 PSF
RM700,000
Jalan Perindustrian 5
43,562 sqft · RM16 PSF
65,350 sqft
Factory
RM3,500,000
Jalan Perindustrian 1 / Sedc
65,342 sqft · RM54 PSF
87,100 sqft
Factory
RM2,650,000
Jalan Perindustrian 2
87,120 sqft · RM30 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM1,825,000

RM27 psf

Median transaction price

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Jalan Pontian Maju, 82000 Pontian, Johor Darul Ta'zim, Malaysia

Maps

Perindustrian Pontian Maju in Pontian, Johor recorded 4 Detached Factory properties subsale transactions between 2021 and 2026, with a median price of RM1.83 million and a median price per square foot (PSF) of RM27.

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 RM1.83 million, with most transactions falling within a stable range of RM700K to RM2.98 million, and a typical market range of RM1.74 million to RM1.91 million.

Within the Detached Factory category, terraced factory/warehouse dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM27, though individual units vary from RM13 to RM41 in the core range. The broader market spans RM0.00 to RM148.44, indicating diverse property characteristics. A wider spread (IQR: RM243.50) 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.