Bandar Baru Sri Damansara
Persiaran Mahogani, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia
Persiaran Mahogani, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM 850,000
|
RM 669
|
1,270 sqft
|
|
|
|
Level G
|
RM 1,400,000
|
RM 1,141
|
1,227 sqft
|
|
|
|
Level 1
|
RM 945,000
|
RM 770
|
1,227 sqft
|
|
|
Level 1
|
RM 880,000
|
RM 619
|
1,421 sqft
|
|
|
Level 2
|
RM 900,000
|
RM 606
|
1,485 sqft
|
|
|
Level G
|
RM 1,100,000
|
RM 601
|
1,831 sqft
|
|
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Market Snapshot
RM 922,500
RM 644 psfMedian transaction price
RM 1,225,000
RM 1,004 psfMedian transaction price
Persiaran Mahogani, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia
MapsBandar Baru Sri Damansara in Petaling, Selangor recorded 6 Town House properties subsale transactions between 2021 and 2026, with a median price of RM 923K and a median price per square foot (PSF) of RM 644.
This area contains both residential and commercial properties. View 272 residential properties or 73 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 923K, with most transactions falling within a stable range of RM 850K to RM 1.11 million, and a typical market range of RM 850K to RM 1.19 million.
Within the Town House category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM 644, though individual units vary from RM 453 to RM 835 in the core range. The broader market spans RM 531.16 to RM 757.41, indicating diverse property characteristics. A wider spread (IQR: RM 226.25) and deviation (MAD: RM 191) 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.