Pusat Komersial Sek. 7, Shah Alam

Seksyen 7, Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM310,000
PSF
RM389

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Flat
RM305,000
Level 3
797 sqft · RM383 PSF
RM350,000
Level 3
797 sqft · RM439 PSF
RM315,000
Level 1
797 sqft · RM395 PSF
RM285,000
Level 1
797 sqft · RM358 PSF
RM300,000
Level 1
797 sqft · RM377 PSF
RM340,000
Level 4
797 sqft · RM427 PSF
RM250,000
Level 2
797 sqft · RM314 PSF
1,400 sqft
Flat
RM950,000
Level G
1,421 sqft · RM669 PSF
Legend Recent Highest Price Highest PSF

Selling in Pusat Komersial Sek. 7, Shah Alam? Homes here sold for a median of RM310,000.

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Market Snapshot

Residential

RM310,000

RM389 psf

Median transaction price

Pusat Komersial Sek. 7, Shah Alam in Petaling, Selangor recorded 8 subsale transactions in 2024, with a median price of RM310K and a median price per square foot (PSF) of RM389.

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 RM310K, with most transactions falling within a stable range of RM250K to RM525K, and a typical market range of RM286K to RM334K.

Most transactions involved flats, with minimal variety in property types.

Price per square foot shows a median of RM389, though individual units vary from RM288 to RM490 in the core range. The broader market spans RM356.94 to RM421.44, indicating diverse property characteristics. A wider spread (IQR: RM64.50) and deviation (MAD: RM101) 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.