| LIST.MY · Kaw Perusahaan Kampung Acheh | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Tiada
|
RM4,800,000
|
RM65
|
74,269 sqft
|
|
Factory |
|
Jalan Pelabuhan 12
|
RM3,450,000
|
RM39
|
87,532 sqft
|
|
Factory |
| 2023 | |||||
|
Lebuh Iks 2/1
|
RM715,000
|
RM113
|
6,308 sqft
|
|
Semi-D Factory |
|
Jalan Pelabuhan 6
|
RM12,000,000
|
RM65
|
184,052 sqft
|
|
Factory |
|
Lumut Port Industrial Park
|
RM12,000,000
|
RM59
|
201,780 sqft
|
|
Factory |
Selling in Kaw Perusahaan Kampung Acheh? Homes here sold for a median of RM4,800,000.
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Kaw Perusahaan Kampung Acheh
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 Lumut
Kaw Perusahaan Kampung Acheh in Manjung, Perak recorded 5 subsale transactions between 2021 and 2026, with a median price of RM4.80 million and a median price per square foot (PSF) of RM65.
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 RM4.80 million, with most transactions falling within a stable range of RM715K to RM8.89 million, and a typical market range of RM715K to RM9.08 million.
Most transactions involved detached factory/warehouse, though some variety exists in the market.
For price per square foot, the median is RM65, with most transactions between RM59 and RM71. The usual range is RM61.63 to RM67.63, showing that most units are priced quite close to each other. A typical spread (IQR) of RM6.00 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.