| Price | PSF | Size | Date | Type |
|---|
|
RM2,500,000
|
RM51
|
49,180 sqft
|
|
|
|
RM2,100,000
|
RM52
|
40,774 sqft
|
|
|
RM750,000
|
RM104
|
7,201 sqft
|
|
|
RM3,000,000
|
RM69
|
43,465 sqft
|
|
|
RM2,827,000
|
RM32
|
89,340 sqft
|
|
|
RM1,323,000
|
RM32
|
41,818 sqft
|
|
Selling in Kawasan Perindustrian Sungai Siput? Homes here sold for a median of RM2,100,000.
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Kawasan Perindustrian Sungai Siput
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Sungei Siput
Market Snapshot
CommercialRM750,000
RM104 psfMedian transaction price
KAWASAN PERINDUSTRIAN SUNGAI SIPUT, Sungei Siput, 31100, Kuala Kangsar, Perak, Malaysia
Kawasan Perindustrian Sungai Siput in Kuala Kangsar, Perak recorded 9 subsale transactions between 2021 and 2026, with a median price of RM2.10 million and a median price per square foot (PSF) of RM52.
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 RM2.10 million, with most transactions falling within a stable range of RM1.32 million to RM2.88 million, and a typical market range of RM1.23 million to RM2.98 million.
Most transactions involved detached factory/warehouse, though some variety exists in the market.
Price per square foot shows a median of RM52, though individual units vary from RM35 to RM69 in the core range. The broader market spans RM42.50 to RM60.50, indicating diverse property characteristics. A wider spread (IQR: RM18.00) and deviation (MAD: RM17) 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.