Syit 100A

Klang, Selangor, Malaysia

Property Transactions

7 subsales grouped by size · Factory →

Median
RM13,000,000
PSF
RM165
Period
transactions middle 50% (P25–P75)
13,850 sqft
Semi-D Factory
RM6,000,000
Jalan Raja Lumu 35/132P/L 1234)
13,853 sqft · RM433 PSF
31,650 sqft
Factory
RM5,000,000
Jalan Bukit Kemuning
31,635 sqft · RM158 PSF
35,950 sqft
Factory
RM6,500,000
Off Jalan Bukit Kemuning
35,930 sqft · RM181 PSF
106,050 sqft
Factory
RM17,500,000
Jalan Bkt Kemuning
106,057 sqft · RM165 PSF
149,100 sqft
Factory
RM13,000,000
Jalan Omboh 34/1
149,080 sqft · RM87 PSF
194,650 sqft
Factory
RM32,169,000
Jalan Bukit Kemuning
194,658 sqft · RM165 PSF
197,650 sqft
Factory
RM40,000,000
Batu 6.5,J.bkt Kemuning
197,658 sqft · RM202 PSF
Legend Recent Highest Price Highest PSF

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Syit 100A in Klang, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM13.00 million and a median price per square foot (PSF) of RM165.

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 RM13.00 million, with most transactions falling within a stable range of RM6.00 million to RM20.00 million, and a typical market range of RM5.00 million to RM22.29 million.

Most transactions involved detached factory/warehouse, though some variety exists in the market.

For price per square foot, the median is RM165, with most transactions between RM149 and RM181. The usual range is RM150.26 to RM180.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM30.00 and an average deviation (MAD) of RM16 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.