| LIST.MY · Menglembu Industrial Park | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Hala Perusahaan Kledang Utara3
|
RM570,000
|
RM163
|
3,498 sqft
|
|
Semi-D Factory |
| 2024 | |||||
|
Hala Perusahaan Kledang Utara 2
|
RM520,000
|
RM149
|
3,498 sqft
|
|
Semi-D Factory |
|
Hala Perusahan Kledan Utara 3
|
RM530,000
|
RM152
|
3,498 sqft
|
|
Semi-D Factory |
| 2022 | |||||
|
Hala Perusahaan Kledang Utara 2
|
RM515,000
|
RM147
|
3,498 sqft
|
|
Semi-D Factory |
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Menglembu Industrial Park
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 Ulu Kinta
Market Snapshot
CommercialRM525,000
RM150 psfMedian transaction price
Menglembu Industrial Park in Kinta, Perak recorded 4 subsale transactions between 2021 and 2026, sized between 3,475 and 3,524 sqft, with a median price of RM525K and a median price per square foot (PSF) of RM150.
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 RM525K, with most transactions falling within a stable range of RM515K to RM547K, and a typical market range of RM515K to RM570K.
Most transactions involved semi-detached factory/warehouse, with minimal variety in property types.
For price per square foot, the median is RM150, with most transactions between RM144 and RM156. The usual range is RM136.20 to RM163.95, showing that most units are priced quite close to each other. A typical spread (IQR) of RM27.75 and an average deviation (MAD) of RM6 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.