Rengland Industrial Park

Jalan Rengland, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,100 sqft
Terrace Factory
RM450,000
Jalan Rengland 5
3,089 sqft · RM146 PSF
RM450,000
Jalan Rengland 4
3,089 sqft · RM146 PSF
RM350,000
Jalan Rengland 4
3,089 sqft · RM113 PSF
RM400,000
Jalan Rengland 5
3,089 sqft · RM129 PSF
6,350 sqft
Terrace Factory
RM865,000
Jalan Rengland 4
6,372 sqft · RM136 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM450,000

RM136 psf

Median transaction price

Rengland Industrial Park
© OpenStreetMap · CARTO

Jalan Rengland, 86200 Simpang Renggam, Johor Darul Ta'zim, Malaysia

Maps

Rengland Industrial Park in Kluang, Johor recorded 5 Terraced Factory properties subsale transactions between 2021 and 2026, with a median price of RM450K and a median price per square foot (PSF) of RM136.

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 RM450K, with most transactions falling within a stable range of RM350K to RM635K, and a typical market range of RM350K to RM600K.

Within the Terraced Factory category, semi-detached factory/warehouse dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM136, with most transactions between RM124 and RM148. The usual range is RM122.75 to RM148.75, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.00 and an average deviation (MAD) of RM12 indicate a highly stable PSF trend across properties.

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.