Sungai Rasa Industrial (P/L 584,2554,2555,2538)
No. 15A, Lorong Bukit Kuda, Jalan Batu Tiga Lama, Kawasan 16, 41300 Klang, Selangor, Malaysia
No. 15A, Lorong Bukit Kuda, Jalan Batu Tiga Lama, Kawasan 16, 41300 Klang, Selangor, Malaysia
No Transactions Found
We couldn't find any transactions matching your current filters in Sungai Rasa Industrial (P/L 584,2554,2555,2538).
Clear All FiltersPosts about Sungai Rasa Industrial (P/L 584,2554,2555,2538)
No posts about Sungai Rasa Industrial (P/L 584,2554,2555,2538) yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
CommercialRM 650,000
RM 235 psfMedian transaction price
No. 15A, Lorong Bukit Kuda, Jalan Batu Tiga Lama, Kawasan 16, 41300 Klang, Selangor, Malaysia
MapsSungai Rasa Industrial (P/L 584,2554,2555,2538) in Klang, Selangor recorded 0 subsale transactions in 2021, with a median price of RM 650K and a median price per square foot (PSF) of RM 235.
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 650K, with most transactions falling within a stable range of RM 420K to RM 880K, and a typical market range of RM 463K to RM 838K.
Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.
For price per square foot, the median is RM 235, with most transactions between RM 223 and RM 247. The usual range is RM 218.00 to RM 252.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 34.00 and an average deviation (MAD) of RM 12 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.