Perindustrian Gembira

Jalan Perindustrian, Taman Desa Rahmat, 81200 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

12 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM680,000
1,206 sqft
RM564 PSF
RM600,000
1,206 sqft
RM498 PSF
RM518,000
1,206 sqft
RM430 PSF
RM500,000
1,206 sqft
RM415 PSF
RM534,000
1,206 sqft
RM443 PSF
RM534,000
1,206 sqft
RM443 PSF
RM865,000
1,206 sqft
RM718 PSF
RM585,000
1,206 sqft
RM485 PSF
RM4,500,000
23,120 sqft
RM195 PSF
RM5,950,000
42,045 sqft
RM142 PSF
RM3,745,000
24,466 sqft
RM153 PSF
RM600,000
1,206 sqft
RM498 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM585,000

RM348 psf

Median transaction price

Perindustrian Gembira
© OpenStreetMap · CARTO

Jalan Perindustrian, Taman Desa Rahmat, 81200 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Perindustrian Gembira in Johor Bahru, Johor recorded 12 subsale transactions between 2021 and 2026, with a median price of RM600K and a median price per square foot (PSF) of RM443.

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 RM600K, with most transactions falling within a stable range of RM519K to RM681K, and a typical market range of RM500K to RM1.13 million.

Most transactions involved terraced factory/warehouse, though some variety exists in the market.

For price per square foot, the median is RM443, with most transactions between RM404 and RM481. The usual range is RM398.08 to RM487.83, showing that most units are priced quite close to each other. With an IQR of RM89.75 and MAD of RM39, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.