Taman Industri Subang

Taman Perindustrian, Taman Perindustrian Subang Utama, 40400 Shah Alam, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 4,200,000
PSF
RM 394
Price Size
Period
transactions middle 50% (P25–P75)
8,150 sqft
Semi-D Factory
RM 4,200,000
Jalan Ts 6/10
8,128 sqft · RM 517 PSF
RM 3,200,000
Jalan Ts 6/10
8,128 sqft · RM 394 PSF
15,650 sqft
Semi-D Factory
RM 5,800,000
Jalan Ts 6/4
15,640 sqft · RM 371 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 4,200,000

RM 394 psf

Median transaction price

Taman Industri Subang
© OpenStreetMap · CARTO

Taman Perindustrian, Taman Perindustrian Subang Utama, 40400 Shah Alam, Selangor, Malaysia

Maps

Taman Industri Subang in Petaling, Selangor recorded 3 Semi-D Factory properties subsale transactions between 2021 and 2026, with a median price of RM 4.20 million and a median price per square foot (PSF) of RM 394.

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 RM 4.20 million, with most transactions falling within a stable range of RM 3.20 million to RM 5.27 million, and a typical market range of RM 3.36 million to RM 5.04 million.

Within the Semi-D Factory category, terraced factory/warehouse dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 394, with core pricing between RM 330 and RM 458. Market pricing typically extends from RM 317.82 to RM 469.57, reflecting moderate variation in unit pricing. The spread of RM 151.75 (IQR) and deviation of RM 64 (MAD) suggest moderate price variations reflecting different property features.

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.