| Road | Price | PSF | Size | Date | Type |
|---|
|
Lumut Port Industrial Park
|
RM12,000,000
|
RM59
|
201,780 sqft
|
|
Selling in Kaw Perusahaan Kampung Acheh? Homes here sold for a median of RM12,000,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about Kaw Perusahaan Kampung Acheh
No posts about Kaw Perusahaan Kampung Acheh yet. Be the first to share what’s happening here.
Nearby areas in Lumut
Pangsapuri Samudera (Taman Samudera Baru)
Taman Alamanda, Bandar Baru Segari
Prima @ Lumut
Taman Samudera
Taman Desa Manjung Raya
Pusat Perdagangan Manjung Point 3
Taman Desa Manjung
Taman Melati Indah, Pundut
Desa Manjung Point 2
Taman Manjung Point Sek Ii
Bandar Baru Segari
Taman Lumut Mewah 2
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 1 subsale transactions between 2021 and 2026, sized between 201,775 and 201,824 sqft, with a median price of RM12.00 million and a median price per square foot (PSF) of RM59.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved detached factory/warehouse, though some variety exists in the market.
For price per square foot, the median is RM59, with most transactions between RM59 and RM59. The usual range is RM56.47 to RM62.47, showing that most units are priced quite close to each other. A typical spread (IQR) of RM6.00 and an average deviation (MAD) of RM0 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.