Perindustrian Ringan Pulai

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

Property Transactions

4 subsales grouped by size

Median
RM3,050,000
PSF
RM251
Price Size
Period
transactions middle 50% (P25–P75)
3,250 sqft
Terrace Factory
RM850,000
Jalan Selatan 3/3
3,261 sqft · RM261 PSF
10,150 sqft
Semi-D Factory
RM3,000,000
Jalan Selatan 3
10,150 sqft · RM296 PSF
12,850 sqft
Semi-D Factory
RM3,100,000
Jalan Selatan 3
12,841 sqft · RM241 PSF
25,850 sqft
Semi-D Factory
RM4,400,000
Jalan Selatan 8/1
25,833 sqft · RM170 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM3,050,000

RM251 psf

Median transaction price

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

Maps

Perindustrian Ringan Pulai in Johor Bahru, Johor recorded 4 subsale transactions in 2023, with a median price of RM3.05 million and a median price per square foot (PSF) of RM251.

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 RM3.05 million, with most transactions falling within a stable range of RM1.78 million to RM4.32 million, and a typical market range of RM1.84 million to RM4.27 million.

Most transactions involved semi-detached factory/warehouse, with high diversity across multiple property types.

The median PSF stands at RM251, with core pricing between RM205 and RM297. Market pricing typically extends from RM199.76 to RM302.26, reflecting moderate variation in unit pricing. The spread of RM102.50 (IQR) and deviation of RM46 (MAD) suggest moderate price variations reflecting different property features.

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.