| LIST.MY · Estate Perindustrian. Pengkalan Ii & Iv | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Johan 1/3
|
RM1,700,000
|
RM68
|
25,026 sqft
|
|
Factory |
|
Jalan Johan 1/3
|
RM2,000,000
|
RM58
|
34,735 sqft
|
|
Factory |
|
Kawasan Perindustrian Pengkalan Ii
|
RM1,000,000
|
RM92
|
10,893 sqft
|
|
Factory |
Selling in Estate Perindustrian. Pengkalan Ii & Iv? Homes here sold for a median of RM1,700,000.
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Estate Perindustrian. Pengkalan Ii & Iv
Marketplace listings
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 Terap
Market Snapshot
CommercialRM1,700,000
RM68 psfMedian transaction price
Estate Perindustrian. Pengkalan Ii & Iv in Kinta, Perak recorded 3 subsale transactions in 2023, with a median price of RM1.70 million and a median price per square foot (PSF) of RM68.
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 RM1.70 million, with most transactions falling within a stable range of RM1.28 million to RM2.00 million, and a typical market range of RM1.10 million to RM2.00 million.
Most transactions involved detached factory/warehouse, though some variety exists in the market.
Price per square foot shows a median of RM68, though individual units vary from RM54 to RM82 in the core range. The broader market spans RM47.31 to RM88.56, indicating diverse property characteristics. The spread of RM41.25 (IQR) and deviation of RM14 (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.