Sek. 15, Shah Alam

Seksyen 15, Shah Alam, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM37,950,000
PSF
RM175
Price Size
Period
transactions middle 50% (P25–P75)
55,000 sqft
Factory
RM12,900,000
Jalan Beremban 15/12
54,982 sqft · RM235 PSF
86,900 sqft
Factory
RM11,900,000
Jalan Utas 15/7
86,886 sqft · RM137 PSF
320,350 sqft
Factory
RM63,000,000
Jalan Ragum 15/17
320,355 sqft · RM197 PSF
456,000 sqft
Factory
RM70,000,000
Persiaran Selangor
456,002 sqft · RM154 PSF
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Market Snapshot

Commercial

RM37,950,000

RM175 psf

Median transaction price

Sek. 15, Shah Alam
© OpenStreetMap · CARTO

Seksyen 15, Shah Alam, Selangor, Malaysia

Maps

Sek. 15, Shah Alam in Petaling, Selangor recorded 4 Detached Factory properties subsale transactions between 2021 and 2026, with a median price of RM37.95 million and a median price per square foot (PSF) of RM175.

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 RM37.95 million, with most transactions falling within a stable range of RM11.90 million to RM65.12 million, and a typical market range of RM36.12 million to RM39.78 million.

Within the Detached Factory category, semi-detached factory/warehouse dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM175, though individual units vary from RM137 to RM213 in the core range. The broader market spans RM0.00 to RM583.33, indicating diverse property characteristics. The spread of RM816.50 (IQR) and deviation of RM38 (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.