Sri D'sara Court-Bandar Sri D'sara
1 & 2, Jalan Damar SD 15/1, Bandar Sri Damansara, 52200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
1 & 2, Jalan Damar SD 15/1, Bandar Sri Damansara, 52200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 338,000
|
RM 393
|
861 sqft
|
|
|
|
Level 3
|
RM 360,000
|
RM 418
|
861 sqft
|
|
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Other Areas in Bdr Sri Damansara
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 349,000
RM 406 psfMedian transaction price
1 & 2, Jalan Damar SD 15/1, Bandar Sri Damansara, 52200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsSri D'sara Court-Bandar Sri D'sara in Petaling, Selangor recorded 2 subsale transactions in 2025, with a median price of RM 349K and a median price per square foot (PSF) of RM 406.
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 349K, with most transactions falling within a stable range of RM 338K to RM 360K, and a typical market range of RM 338K to RM 360K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 406, with most transactions between RM 393 and RM 418. The usual range is RM 390.16 to RM 420.91, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 30.75 and an average deviation (MAD) of RM 13 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.