Perindustrian Pontian Maju

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

No Transactions Found

We couldn't find any transactions matching your current filters in Perindustrian Pontian Maju.

Adjust Your Filters

Clear All Filters

Selling in Perindustrian Pontian Maju? Homes here sold for a median of RM850,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Perindustrian Pontian Maju

What’s happening in Perindustrian Pontian Maju?

No posts about Perindustrian Pontian Maju yet. Be the first to share what’s happening here.

Market Snapshot

Commercial

RM800,000

RM265 psf

Median transaction price

Loading map...

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

Maps

Perindustrian Pontian Maju in Pontian, Johor recorded 0 subsale transactions between 2021 and 2026, with a median price of RM850K and a median price per square foot (PSF) of RM258.

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 RM850K, with most transactions falling within a stable range of RM750K to RM950K, and a typical market range of RM763K to RM938K.

Most transactions involved terraced factory/warehouse, with moderate diversity in property types available.

Price per square foot shows a median of RM258, though individual units vary from RM153 to RM363 in the core range. The broader market spans RM135.75 to RM379.25, indicating diverse property characteristics. A wider spread (IQR: RM243.50) and deviation (MAD: RM105) 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.