Selasih Apartment-D'sara Damai

Klinik Damai, 2373, Jalan 1a/1, Bandar Baru Sungai Buloh, 47000 Sungai Buloh, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Median
RM284,000
PSF
RM335
Period
transactions middle 50% (P25–P75)
RM290,000
Level 2
850 sqft RM341 PSF
RM285,000
Level G
850 sqft RM335 PSF
RM270,000
Level 1
850 sqft RM318 PSF
RM280,000
Level 4
850 sqft RM329 PSF
RM285,000
Level 1
850 sqft RM335 PSF
RM283,000
Level 1
850 sqft RM333 PSF
RM283,000
Level G
850 sqft RM333 PSF
RM310,000
Level 5
850 sqft RM365 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM284,000

RM334 psf

Median transaction price

Selasih Apartment-D'sara Damai
© OpenStreetMap · CARTO

Klinik Damai, 2373, Jalan 1a/1, Bandar Baru Sungai Buloh, 47000 Sungai Buloh, Selangor, Malaysia

Maps

Selasih Apartment-D'sara Damai in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM284K and a median price per square foot (PSF) of RM335.

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 RM284K, with most transactions falling within a stable range of RM282K to RM287K, and a typical market range of RM282K to RM286K.

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

For price per square foot, the median is RM335, with most transactions between RM332 and RM338. The usual range is RM332.91 to RM337.41, showing that most units are priced quite close to each other. A typical spread (IQR) of RM4.50 and an average deviation (MAD) of RM3 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.