P/Puri Seri Bintang-U5 Subang Bestari

Jalan Nova U5/45, Subang Bestari, 40150 Shah Alam, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM200,000
PSF
RM269

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Condo
RM230,000
Level 5
743 sqft · RM310 PSF
RM200,000
Level 5
743 sqft · RM269 PSF
RM65,000
Level G
743 sqft · RM88 PSF
RM250,000
Level 2
743 sqft · RM337 PSF
RM199,000
Level 3
743 sqft · RM268 PSF
RM199,000
Level 4
743 sqft · RM268 PSF
RM230,000
Level 4
743 sqft · RM310 PSF
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Market Snapshot

Residential

RM200,000

RM269 psf

Median transaction price

P/Puri Seri Bintang-U5 Subang Bestari
© OpenStreetMap · CARTO

Jalan Nova U5/45, Subang Bestari, 40150 Shah Alam, Selangor, Malaysia

Maps

P/Puri Seri Bintang-U5 Subang Bestari in Petaling, Selangor recorded 7 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM269.

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 RM200K, with most transactions falling within a stable range of RM143K to RM250K, and a typical market range of RM173K to RM228K.

Within the Condo/Apartment category, flats dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM269, though individual units vary from RM193 to RM345 in the core range. The broader market spans RM232.28 to RM306.28, indicating diverse property characteristics. A wider spread (IQR: RM74.00) and deviation (MAD: RM76) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.