| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM343,000
|
RM377
|
909 sqft
|
|
|
|
Level 1
|
RM360,000
|
RM393
|
915 sqft
|
|
|
Level G
|
RM375,000
|
RM391
|
958 sqft
|
|
|
|
Level 1
|
RM370,000
|
RM393
|
941 sqft
|
|
|
|
Level 2
|
RM280,000
|
RM292
|
958 sqft
|
|
|
Jalan Pulau Angsa U10/2
|
RM900,000
|
RM129
|
6,964 sqft
|
|
|
Jalan Pulau Angsa U10/2
|
RM1,250,000
|
RM141
|
8,869 sqft
|
|
Selling in Puncak Perdana? Homes here sold for a median of RM367,500.
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Puncak Perdana
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bukit Raja
Property News
More property news →Market Snapshot
ResidentialRM367,500
RM373 psfMedian transaction price
Puncak Perdana, 40150 Shah Alam, Selangor, Malaysia
MapsPuncak Perdana in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM368K and a median price per square foot (PSF) of RM373.
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 RM368K, with most transactions falling within a stable range of RM280K to RM695K, and a typical market range of RM333K to RM403K.
Most transactions involved town house, though some variety exists in the market.
Price per square foot shows a median of RM373, though individual units vary from RM267 to RM480 in the core range. The broader market spans RM325.38 to RM421.38, indicating diverse property characteristics. A wider spread (IQR: RM96.00) and deviation (MAD: RM106) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.