Paradesa Tropica-Bandar Bru Sri D'sara
Persiaran Meranti, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia
Persiaran Meranti, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 465,000
|
RM 419
|
1,109 sqft
|
|
|
|
Level 4
|
RM 418,000
|
RM 377
|
1,109 sqft
|
|
|
|
Level 6
|
RM 460,000
|
RM 415
|
1,109 sqft
|
|
|
|
Level 2
|
RM 430,000
|
RM 388
|
1,109 sqft
|
|
|
|
Level 3
|
RM 510,000
|
RM 460
|
1,109 sqft
|
|
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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 445,000
RM 401 psfMedian transaction price
Persiaran Meranti, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia
MapsParadesa Tropica-Bandar Bru Sri D'sara in Petaling, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 445K and a median price per square foot (PSF) of RM 401.
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 445K, with most transactions falling within a stable range of RM 386K to RM 504K, and a typical market range of RM 406K to RM 484K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 401, with most transactions between RM 373 and RM 429. The usual range is RM 375.13 to RM 427.63, showing that most units are priced quite close to each other. With an IQR of RM 52.50 and MAD of RM 28, the PSF demonstrates reasonable consistency across the market.
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.