Sungai Rasa Industrial (P/L 584,2554,2555,2538)

No. 15A, Lorong Bukit Kuda, Jalan Batu Tiga Lama, Kawasan 16, 41300 Klang, Selangor, Malaysia

Property Transactions

3 subsales found

Median
RM1,750,000
PSF
RM369
Price Size
Period
transactions middle 50% (P25–P75)
RM1,837,000
Jalan Sungai Rasa 37/Ku/10
4,747 sqft RM387 PSF
RM1,700,000
Jalan Sungai Rasa 37/Ku1
4,747 sqft RM358 PSF
RM1,750,000
Jalan Sungai Rasau 37/Ku1
4,747 sqft RM369 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM1,750,000

RM369 psf

Median transaction price

Sungai Rasa Industrial (P/L 584,2554,2555,2538)
© OpenStreetMap · CARTO

No. 15A, Lorong Bukit Kuda, Jalan Batu Tiga Lama, Kawasan 16, 41300 Klang, Selangor, Malaysia

Maps

Sungai Rasa Industrial (P/L 584,2554,2555,2538) in Klang, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 4,725 and 4,774 sqft, with a median price of RM1.75 million and a median price per square foot (PSF) of RM369.

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 RM1.75 million, with most transactions falling within a stable range of RM1.70 million to RM1.81 million, and a typical market range of RM1.70 million to RM1.84 million.

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

For price per square foot, the median is RM369, with most transactions between RM357 and RM381. The usual range is RM351.66 to RM385.66, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 and an average deviation (MAD) of RM12 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.