Paradesa Tropica-Bandar Bru Sri D'sara

Persiaran Meranti, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 457,500
PSF
RM 437
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM 365,000
Level 4
829 sqft · RM 440 PSF
RM 420,000
Level 2
829 sqft · RM 507 PSF
RM 360,000
Level 2
829 sqft · RM 434 PSF
1,100 sqft
Condo
RM 465,000
Level 2
1,109 sqft · RM 419 PSF
RM 480,000
Level 3
1,109 sqft · RM 433 PSF
RM 495,000
Level 4
1,109 sqft · RM 446 PSF
RM 450,000
Level 5
1,109 sqft · RM 406 PSF
RM 545,000
Level 5
1,120 sqft · RM 486 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 457,500

RM 437 psf

Median transaction price

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Persiaran Meranti, Bandar Sri Damansara, 52200 Kuala Lumpur, Selangor, Malaysia

Maps

Paradesa Tropica-Bandar Bru Sri D'sara in Petaling, Selangor recorded 8 subsale transactions in 2023, with a median price of RM 458K and a median price per square foot (PSF) of RM 437.

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 458K, with most transactions falling within a stable range of RM 398K to RM 517K, and a typical market range of RM 419K to RM 497K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM 437, with most transactions between RM 406 and RM 469. The usual range is RM 411.12 to RM 463.62, showing that most units are priced quite close to each other. With an IQR of RM 52.50 and MAD of RM 32, 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.