Sek. 7 Shah Alam

Seksyen 7 Shah Alam, 40450 Shah Alam, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Condo
RM260,000
Level 2
743 sqft · RM350 PSF
800 sqft
Condo
RM300,000
Level 3
797 sqft · RM377 PSF
RM263,000
Level 2
797 sqft · RM330 PSF
RM350,000
Level 2
818 sqft · RM428 PSF
RM335,000
Level 7
818 sqft · RM410 PSF
RM340,000
Level 4
818 sqft · RM416 PSF
RM335,000
Level 7
818 sqft · RM410 PSF
RM330,000
Level 3
807 sqft · RM409 PSF
850 sqft
Condo
RM290,000
Level 1
850 sqft · RM341 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM330,000

RM409 psf

Median transaction price

Sek. 7 Shah Alam
© OpenStreetMap · CARTO

Seksyen 7 Shah Alam, 40450 Shah Alam, Selangor, Malaysia

Maps

Sek. 7 Shah Alam in Petaling, Selangor recorded 9 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM330K and a median price per square foot (PSF) of RM409.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM330K, with most transactions falling within a stable range of RM298K to RM350K, and a typical market range of RM260K to RM350K.

Within the Condo/Apartment category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM409, with most transactions between RM374 and RM443. The usual range is RM347.78 to RM469.78, showing that most units are priced quite close to each other. With an IQR of RM122.00 and MAD of RM35, the PSF demonstrates reasonable consistency across the market.

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.