Seksyen 9 - Shah Alam

Section 9, 40100 Shah Alam, Selangor, Malaysia

Property Transactions

5 subsales found

Median
RM1,880,000
PSF
RM330
Price Size
Period
transactions middle 50% (P25–P75)
RM1,720,000
Jalan J 9/J
5,705 sqft RM301 PSF
RM2,000,000
Jalan Tengku Ampuan Zabedah J 9/J
5,705 sqft RM351 PSF
RM1,880,000
Jalan J 9/J
5,705 sqft RM330 PSF
RM1,930,000
Jalan Tengku Ampuan Zabedah K 9/K
5,705 sqft RM338 PSF
RM1,800,000
Jalan 9/J
5,705 sqft RM316 PSF
Legend Recent Highest Price Highest PSF

Selling in Seksyen 9 - Shah Alam? Homes here sold for a median of RM1,880,000.

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Market Snapshot

Commercial

RM1,880,000

RM330 psf

Median transaction price

Seksyen 9 - Shah Alam
© OpenStreetMap · CARTO

Section 9, 40100 Shah Alam, Selangor, Malaysia

Maps

Seksyen 9 - Shah Alam in Petaling, Selangor recorded 5 subsale transactions between 2021 and 2026, sized between 5,675 and 5,724 sqft, with a median price of RM1.88 million and a median price per square foot (PSF) of RM330.

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 RM1.88 million, with most transactions falling within a stable range of RM1.78 million to RM1.98 million, and a typical market range of RM1.72 million to RM2.00 million.

Most transactions involved 3 - 3 1/2 storey shop, with moderate diversity in property types available.

For price per square foot, the median is RM330, with most transactions between RM312 and RM347. The usual range is RM123.79 to RM535.29, showing that most units are priced quite close to each other. With an IQR of RM411.50 and MAD of RM17, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.