| LIST.MY · Kawasan Perindustrian Sungai Siput | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Kawasan Perusahaan Fasa 2
|
RM670,000
|
RM89
|
7,502 sqft
|
|
Factory |
| 2022 | |||||
|
Laluan Industri 5
|
RM430,000
|
RM57
|
7,502 sqft
|
|
Factory |
Selling in Kawasan Perindustrian Sungai Siput? Homes here sold for a median of RM550,000.
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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
CommercialRM550,000
RM73 psfMedian transaction price
KAWASAN PERINDUSTRIAN SUNGAI SIPUT, Sungei Siput, 31100, Kuala Kangsar, Perak, Malaysia
Kawasan Perindustrian Sungai Siput in Kuala Kangsar, Perak recorded 2 subsale transactions between 2021 and 2026, sized between 7,475 and 7,524 sqft, with a median price of RM550K and a median price per square foot (PSF) of RM73.
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 RM550K, with most transactions falling within a stable range of RM430K to RM670K, and a typical market range of RM430K to RM670K.
Most transactions involved detached factory/warehouse, though some variety exists in the market.
Price per square foot shows a median of RM73, though individual units vary from RM57 to RM89 in the core range. The broader market spans RM64.31 to RM82.31, indicating diverse property characteristics. The spread of RM18.00 (IQR) and deviation of RM16 (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.