Bandar Pinggiran Subang

40150 Shah Alam, Selangor, Malaysia

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM225,000
Level 3
861 sqft RM261 PSF
RM260,000
Level 1
861 sqft RM302 PSF
RM290,000
Level 3
861 sqft RM337 PSF
RM250,000
Level 1
850 sqft RM294 PSF
RM265,000
Level 1
861 sqft RM308 PSF
RM330,000
Level 2
840 sqft RM393 PSF
RM270,000
Level 2
850 sqft RM318 PSF
RM305,000
Level G
861 sqft RM354 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Pinggiran Subang? Homes here sold for a median of RM267,500.

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Market Snapshot

RM267,500

RM313 psf

Median transaction price

RM850,000

RM494 psf

Median transaction price

Bandar Pinggiran Subang
© OpenStreetMap · CARTO

Bandar Pinggiran Subang, 40150 Shah Alam, Selangor, Malaysia

Maps

Bandar Pinggiran Subang in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, sized between 825 and 874 sqft, with a median price of RM268K and a median price per square foot (PSF) of RM313.

This area contains both residential and commercial properties. View 33 residential properties or 31 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM268K, with most transactions falling within a stable range of RM237K to RM298K, and a typical market range of RM225K to RM330K.

Most transactions involved 3 - 3 1/2 storey shop, with high diversity across multiple property types.

The median PSF stands at RM313, with core pricing between RM275 and RM350. Market pricing typically extends from RM220.63 to RM404.63, reflecting moderate variation in unit pricing. With an IQR of RM184.00 and MAD of RM38, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.