Sek. 7 Shah Alam

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

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM790,000
Jalan Gelana 7/24
2,486 sqft RM318 PSF
RM1,070,000
Jalan Timah Satu 7/25A
2,486 sqft RM430 PSF
RM1,200,000
Jalan Aluminium Satu 7/27A
2,486 sqft RM483 PSF
RM865,000
Jalan Aluminium Satu 7/27
2,486 sqft RM348 PSF
RM750,000
Jalan Aluminium Satu 7/27
2,486 sqft RM302 PSF
RM800,000
Jalan Nikel Satu 7/27A
2,486 sqft RM322 PSF
Legend Recent Highest Price Highest PSF

Selling in Sek. 7 Shah Alam? Homes here sold for a median of RM832,500.

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Market Snapshot

Residential

RM832,500

RM335 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 6 subsale transactions between 2021 and 2026, sized between 2,475 and 2,524 sqft, with a median price of RM833K and a median price per square foot (PSF) of RM335.

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 RM833K, with most transactions falling within a stable range of RM750K to RM998K, and a typical market range of RM750K to RM983K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM335, with core pricing between RM268 and RM401. Market pricing typically extends from RM273.81 to RM395.81, reflecting moderate variation in unit pricing. The spread of RM122.00 (IQR) and deviation of RM66 (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.