Seksyen 7 - Shah Alam

Seksyen 7, Shah Alam, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 1,139,500
PSF
RM 652
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Office
RM 1,060,000
Level G
1,421 sqft · RM 746 PSF
1,450 sqft
Office
RM 1,360,000
Level G
1,475 sqft · RM 922 PSF
RM 1,360,000
Level G
1,475 sqft · RM 922 PSF
RM 621,000
Level 2
1,474 sqft · RM 421 PSF
1,500 sqft
Office
RM 460,000
Level 3
1,508 sqft · RM 305 PSF
2,200 sqft
Office
RM 1,219,000
Level G
2,185 sqft · RM 558 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 1,139,500

RM 652 psf

Median transaction price

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Seksyen 7, Shah Alam, Selangor, Malaysia

Maps

Seksyen 7 - Shah Alam in Petaling, Selangor recorded 6 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM 1.14 million and a median price per square foot (PSF) of RM 652.

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 1.14 million, with most transactions falling within a stable range of RM 787K to RM 1.36 million, and a typical market range of RM 690K to RM 1.36 million.

Within the Office Lot category, shop unit/retail lot dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 652, though individual units vary from RM 415 to RM 889 in the core range. The broader market spans RM 421.96 to RM 881.96, indicating diverse property characteristics. A wider spread (IQR: RM 460.00) and deviation (MAD: RM 237) 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.