Seksyen 9 - Shah Alam

Section 9, 40100 Shah Alam, Selangor, Malaysia

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM1,720,000
5,705 sqft
RM301 PSF
RM1,880,000
5,705 sqft
RM330 PSF
RM2,500,000
7,029 sqft
RM356 PSF
RM3,000,000
7,029 sqft
RM427 PSF
RM2,000,000
5,705 sqft
RM351 PSF
RM3,000,000
6,286 sqft
RM477 PSF
RM4,000,000
7,029 sqft
RM569 PSF
RM4,000,000
7,029 sqft
RM569 PSF
RM1,930,000
5,705 sqft
RM338 PSF
RM1,800,000
5,705 sqft
RM316 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM2,500,000

RM1,214 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 11 subsale transactions between 2021 and 2026, with a median price of RM2.50 million and a median price per square foot (PSF) of RM351.

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 RM2.50 million, with most transactions falling within a stable range of RM1.88 million to RM3.12 million, and a typical market range of RM1.73 million to RM3.27 million.

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

Price per square foot shows a median of RM351, though individual units vary from RM181 to RM521 in the core range. The broader market spans RM144.83 to RM556.33, indicating diverse property characteristics. A wider spread (IQR: RM411.50) and deviation (MAD: RM170) 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.