Kawasan Perindustrian

8, Lintang Sungai Keramat 6, Taman Klang Utama, 42100 Klang, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM5,700,000
PSF
RM340
Price Size
Period
transactions middle 50% (P25–P75)
12,800 sqft
Semi-D Factory
RM4,350,000
Lorong Sungai Puloh 10/Ku6
12,792 sqft · RM340 PSF
16,100 sqft
Semi-D Factory
RM5,700,000
Lorong Sungai Puloh 7/Ku6
16,092 sqft · RM354 PSF
20,700 sqft
Semi-D Factory
RM6,300,000
Lot No. 41, Lorong Sungai Puloh 7/Ku6
20,677 sqft · RM305 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM5,700,000

RM340 psf

Median transaction price

Kaw Perindustrian Sungai Puloh
© OpenStreetMap · CARTO

Kawasan Perindustrian, 8, Lintang Sungai Keramat 6, Taman Klang Utama, 42100 Klang, Selangor, Malaysia

Maps

Kawasan Perindustrian in Klang, Selangor recorded 3 subsale transactions between 2021 and 2026, with a median price of RM5.70 million and a median price per square foot (PSF) of RM340.

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 RM5.70 million, with most transactions falling within a stable range of RM4.88 million to RM6.30 million, and a typical market range of RM4.81 million to RM6.30 million.

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

For price per square foot, the median is RM340, with most transactions between RM319 and RM361. The usual range is RM320.88 to RM359.13, showing that most units are priced quite close to each other. A typical spread (IQR) of RM38.25 and an average deviation (MAD) of RM21 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.