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 435,500
PSF
RM 404
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM 325,000
Level 4
829 sqft · RM 392 PSF
RM 370,000
Level 2
829 sqft · RM 446 PSF
1,100 sqft
Condo
RM 495,000
Level 2
1,109 sqft · RM 446 PSF
RM 385,000
Level 3
1,109 sqft · RM 347 PSF
RM 441,000
Level 6
1,109 sqft · RM 398 PSF
RM 455,000
Level 9
1,109 sqft · RM 410 PSF
RM 430,000
Level 6
1,109 sqft · RM 388 PSF
RM 470,000
Level 5
1,109 sqft · RM 424 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 435,500

RM 404 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 2022, with a median price of RM 436K and a median price per square foot (PSF) of RM 404.

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 436K, with most transactions falling within a stable range of RM 382K to RM 489K, and a typical market range of RM 397K to RM 475K.

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

For price per square foot, the median is RM 404, with most transactions between RM 373 and RM 435. The usual range is RM 377.83 to RM 430.33, showing that most units are priced quite close to each other. With an IQR of RM 52.50 and MAD of RM 31, 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.