Puncak Perdana

40150 Shah Alam, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 1,475,000
PSF
RM 149
Price Size
6,950 sqft
Bungalow
RM 900,000
Jalan Pulau Angsa U10/2
6,964 sqft · RM 129 PSF
8,850 sqft
Bungalow
RM 1,250,000
Jalan Pulau Angsa U10/2
8,869 sqft · RM 141 PSF
9,100 sqft
Bungalow
RM 1,300,000
Jalan Pulau Angsa U10/6
9,096 sqft · RM 143 PSF
9,300 sqft
Bungalow
RM 1,650,000
Jalan Pulau Angsa U10/2
9,278 sqft · RM 178 PSF
12,200 sqft
Bungalow
RM 1,900,000
Jalan Pulau Angsa U10/6A
12,206 sqft · RM 156 PSF
15,300 sqft
Bungalow
RM 2,800,000
Jalan Pulau Angsa U10/2
15,306 sqft · RM 183 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 1,475,000

RM 149 psf

Median transaction price

Puncak Perdana
© OpenStreetMap · CARTO

Puncak Perdana, 40150 Shah Alam, Selangor, Malaysia

Maps

Puncak Perdana in Petaling, Selangor recorded 6 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 1.48 million and a median price per square foot (PSF) of RM 149.

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 RM 1.48 million, with most transactions falling within a stable range of RM 900K to RM 2.08 million, and a typical market range of RM 1.44 million to RM 1.51 million.

Within the Bungalow category, town house dominated the market, though some variety exists in the market.

The median PSF stands at RM 149, with core pricing between RM 130 and RM 169. Market pricing typically extends from RM 101.29 to RM 197.29, reflecting moderate variation in unit pricing. With an IQR of RM 96.00 and MAD of RM 20, the PSF demonstrates reasonable consistency across the market.

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.