Alam Avenue-Sek.16 Shah Alam

2, Jalan Serai Wangi L 16/L, Seksyen 16, 40200 Shah Alam, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Period
transactions middle 50% (P25–P75)
650 sqft
1-Sty Shop
RM275,000
Jalan Serai Wangi J 16/J
667 sqft · RM412 PSF
3,950 sqft
3-Sty Shop
RM1,370,000
Jalan Serai Wangi 16/H
3,929 sqft · RM349 PSF
RM1,850,000
Jalan Serai Wangi H 16/H
3,929 sqft · RM471 PSF
4,800 sqft
3-Sty Shop
RM2,538,000
Jalan Serai Wangi G 16/G
4,801 sqft · RM529 PSF
RM1,600,000
Jalan Serai Wangi G 16/G
4,801 sqft · RM333 PSF
Legend Recent Highest Price Highest PSF

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Alam Avenue-Sek.16 Shah Alam
© OpenStreetMap · CARTO

2, Jalan Serai Wangi L 16/L, Seksyen 16, 40200 Shah Alam, Selangor, Malaysia

Maps

Alam Avenue-Sek.16 Shah Alam in Petaling, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM1.60 million and a median price per square foot (PSF) of RM412.

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 RM1.60 million, with most transactions falling within a stable range of RM1.35 million to RM1.85 million, and a typical market range of RM1.36 million to RM1.84 million.

Most transactions involved 3 - 3 1/2 storey shop, though some variety exists in the market.

Price per square foot shows a median of RM412, though individual units vary from RM227 to RM597 in the core range. The broader market spans RM241.07 to RM583.07, indicating diverse property characteristics. A wider spread (IQR: RM342.00) and deviation (MAD: RM185) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.