| Price | PSF | Size | Date | Type |
|---|
|
RM5,800,000
|
RM319
|
18,176 sqft
|
|
Semi-D Factory |
|
RM1,460,000
|
RM397
|
3,681 sqft
|
|
Terrace Factory |
|
RM1,100,000
|
RM428
|
2,573 sqft
|
|
|
|
RM968,000
|
RM376
|
2,573 sqft
|
|
|
RM1,764,000
|
RM296
|
5,952 sqft
|
|
|
|
RM980,000
|
RM238
|
4,112 sqft
|
|
|
RM1,400,000
|
RM380
|
3,681 sqft
|
|
Selling in Meranti Permai Industrial Park? Homes here sold for a median of RM1,400,000.
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Meranti Permai 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 Dengkil
Market Snapshot
CommercialRM1,400,000
RM467 psfMedian transaction price
47120 Puchong, Selangor, Malaysia
MapsMeranti Permai Industrial Park in Sepang, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM1.40 million and a median price per square foot (PSF) of RM376.
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 RM1.40 million, with most transactions falling within a stable range of RM980K to RM1.82 million, and a typical market range of RM1.01 million to RM1.79 million.
Most transactions involved terraced factory/warehouse, though some variety exists in the market.
Price per square foot shows a median of RM376, though individual units vary from RM243 to RM509 in the core range. The broader market spans RM285.78 to RM466.78, indicating diverse property characteristics. A wider spread (IQR: RM181.00) and deviation (MAD: RM133) indicate significant PSF variations, likely due to diverse property types or conditions.
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.