Pekan Nenas Industrial Park

27, Jalan Industri 9, Taman Perindustrian Pekan Nenas, 81500 Pekan Nanas, Johor Darul Ta'zim, Malaysia

Property Transactions

1 subsales found

Median
RM3,000,000
PSF
RM162
Price Size
Period
transactions middle 50% (P25–P75)
RM3,000,000
Jalan Industri 8
18,492 sqft RM162 PSF
Legend Recent Highest Price Highest PSF

Selling in Pekan Nenas Industrial Park? Homes here sold for a median of RM3,000,000.

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

List your property free

Posts about Pekan Nenas Industrial Park

What’s happening in Pekan Nenas Industrial Park?

No posts about Pekan Nenas Industrial Park yet. Be the first to share what’s happening here.

Market Snapshot

Commercial

RM3,000,000

RM162 psf

Median transaction price

Pekan Nenas Industrial Park
© OpenStreetMap · CARTO

27, Jalan Industri 9, Taman Perindustrian Pekan Nenas, 81500 Pekan Nanas, Johor Darul Ta'zim, Malaysia

Maps

Pekan Nenas Industrial Park in Pontian, Johor recorded 1 subsale transactions between 2021 and 2026, sized between 18,475 and 18,524 sqft, with a median price of RM3.00 million and a median price per square foot (PSF) of RM162.

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

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.

For price per square foot, the median is RM162, with most transactions between RM162 and RM162. The usual range is RM150.61 to RM173.86, showing that most units are priced quite close to each other. A typical spread (IQR) of RM23.25 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.