D'kayangan- Sek 13 Shah Alam

D'kayangan, 40100 Shah Alam, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 1,370,000
PSF
RM 444
Price Size
2,450 sqft
Semi-D
RM 1,097,000
Jalan Akuatik 13/77B
2,454 sqft · RM 447 PSF
RM 1,000,000
Jalan Akuatik 13/77A
2,454 sqft · RM 407 PSF
3,200 sqft
Semi-D
RM 1,500,000
Jalan Akuatik 13/67
3,197 sqft · RM 469 PSF
RM 1,240,000
Jalan Akuatik 13/67A
3,197 sqft · RM 388 PSF
4,000 sqft
Semi-D
RM 2,472,000
Jalan Akuatik 13/72
4,004 sqft · RM 617 PSF
4,750 sqft
Semi-D
RM 2,100,000
Jalan Akuatik 13/67
4,768 sqft · RM 440 PSF
Legend Recent Highest Price Highest PSF
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D'kayangan- Sek 13 Shah Alam
© OpenStreetMap · CARTO

D'kayangan, 40100 Shah Alam, Selangor, Malaysia

Maps

D'kayangan- Sek 13 Shah Alam in Petaling, Selangor recorded 6 Double Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM 1.37 million and a median price per square foot (PSF) of RM 444.

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 1.37 million, with most transactions falling within a stable range of RM 1.00 million to RM 1.91 million, and a typical market range of RM 1.01 million to RM 1.73 million.

Within the Double Storey Semi-D category, 2 - 2 1/2 storey semi-detached dominated the market, though some variety exists in the market.

The median PSF stands at RM 444, with core pricing between RM 369 and RM 518. Market pricing typically extends from RM 422.45 to RM 464.95, reflecting moderate variation in unit pricing. The spread of RM 42.50 (IQR) and deviation of RM 74 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.