| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM162,000
|
RM203
|
797 sqft
|
|
|
|
Level 15
|
RM290,000
|
RM364
|
797 sqft
|
|
|
|
Level 3
|
RM162,000
|
RM203
|
797 sqft
|
|
|
|
Level G
|
RM170,000
|
RM213
|
797 sqft
|
|
|
Level 12
|
RM200,000
|
RM221
|
904 sqft
|
|
|
|
Level 2
|
RM200,000
|
RM221
|
904 sqft
|
|
|
|
Level 7
|
RM200,000
|
RM221
|
904 sqft
|
|
|
|
Level 10
|
RM200,000
|
RM221
|
904 sqft
|
|
|
|
Level 13
|
RM200,000
|
RM221
|
904 sqft
|
|
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D' Alpinia
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 Dengkil
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Market Snapshot
ResidentialRM200,000
RM221 psfMedian transaction price
D'alpinia, 47100 Puchong, Selangor, Malaysia
MapsD' Alpinia in Sepang, Selangor recorded 9 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM200K and a median price per square foot (PSF) of RM221.
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 RM164K to RM236K, and a typical market range of RM162K to RM290K.
Within the Condo/Apartment category, 2 - 2 1/2 storey semi-detached dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM221, though individual units vary from RM174 to RM268 in the core range. The broader market spans RM174.45 to RM267.95, indicating diverse property characteristics. The spread of RM93.50 (IQR) and deviation of RM47 (MAD) suggest moderate price variations reflecting different property features.
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.