Perindustrian Gembira

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

Property Transactions

4 subsales grouped by size · Terrace Factory →

Median
RM 592,500
PSF
RM 457
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace Factory
RM 600,000
Jalan Riang 22
1,206 sqft · RM 498 PSF
RM 585,000
Jalan Riang 22/1
1,206 sqft · RM 485 PSF
RM 518,000
Jalan Riang 22/2
1,206 sqft · RM 430 PSF
42,050 sqft
Factory
RM 5,950,000
Jalan Riang 23
42,045 sqft · RM 142 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 592,500

RM 457 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 4 subsale transactions in 2022, with a median price of RM 593K and a median price per square foot (PSF) of RM 457.

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 RM 593K, with most transactions falling within a stable range of RM 518K to RM 2.92 million, and a typical market range of RM 518K to RM 1.12 million.

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

Price per square foot shows a median of RM 457, though individual units vary from RM 313 to RM 602 in the core range. The broader market spans RM 412.59 to RM 502.34, indicating diverse property characteristics. A wider spread (IQR: RM 89.75) and deviation (MAD: RM 145) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.