Sungai Buloh Industrial Park

Sungai Buloh, Selangor, Malaysia

Property Transactions

7 subsales found

Median
RM4,300,000
PSF
RM512
Price Size
Period
transactions middle 50% (P25–P75)
RM2,380,000
Jalan Tsb 6
2,906 sqft RM819 PSF
RM4,050,000
Jalan Tsb 5
8,697 sqft RM466 PSF
RM4,300,000
Jalan Tsb 6
8,396 sqft RM512 PSF
RM1,700,000
Jalan Tsb 5
2,906 sqft RM585 PSF
RM9,200,000
Lorong Teknologi C
8,477 sqft RM1,085 PSF
RM14,000,000
Jalan Tsb 9
37,243 sqft RM376 PSF
RM4,300,000
Jalan Tsb 6
8,396 sqft RM512 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM4,300,000

RM512 psf

Median transaction price

Average

Does SUNGAI BULOH INDUSTRIAL PARK rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Sungai Buloh Industrial Park in Petaling, Selangor recorded 7 subsale transactions in 2024, with a median price of RM4.30 million and a median price per square foot (PSF) of RM512.

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 RM4.30 million, with most transactions falling within a stable range of RM1.70 million to RM8.35 million, and a typical market range of RM1.70 million to RM7.64 million.

Most transactions involved semi-detached factory/warehouse, with moderate diversity in property types available.

Price per square foot shows a median of RM512, though individual units vary from RM284 to RM740 in the core range. The broader market spans RM346.53 to RM677.79, indicating diverse property characteristics. A wider spread (IQR: RM331.25) and deviation (MAD: RM228) 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.