Pusat Perdagangan Subang Permai

40150 Shah Alam, Selangor, Malaysia

Property Transactions

9 subsales found

Median
RM 950,000
PSF
RM 206
Period
transactions middle 50% (P25–P75)
RM 950,000
Jalan Alfa A U6/A
4,467 sqft RM 213 PSF
RM 1,150,000
Jalan Alfa E U6/E
5,188 sqft RM 222 PSF
RM 850,000
Jalan F U6/F
4,467 sqft RM 190 PSF
RM 1,700,000
Jalan Alfa B U6/B
6,652 sqft RM 256 PSF
RM 900,000
Jalan Alfa A U6/A
4,467 sqft RM 201 PSF
RM 1,060,000
Jalan Alfa U6/B
4,467 sqft RM 237 PSF
RM 910,000
Jalan Alfa A U6/A
4,467 sqft RM 204 PSF
RM 990,000
Jalan Alfa F U6/F
5,188 sqft RM 191 PSF
RM 920,000
Jalan Alfa C U6/C
4,467 sqft RM 206 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 950,000

RM 598 psf

Median transaction price

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Pusat Perdagangan Subang Permai, 40150 Shah Alam, Selangor, Malaysia

Maps

Pusat Perdagangan Subang Permai in Petaling, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 950K and a median price per square foot (PSF) of RM 206.

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 RM 950K, with most transactions falling within a stable range of RM 900K to RM 1.00 million, and a typical market range of RM 875K to RM 1.03 million.

Most transactions involved 3 - 3 1/2 storey shop, with minimal variety in property types.

For price per square foot, the median is RM 206, with most transactions between RM 186 and RM 226. The usual range is RM 189.45 to RM 222.45, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 33.00 and an average deviation (MAD) of RM 20 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.