Aragreens-Ara Damansara
6A, Jalan PJU 1a/3, Ara Damansara, 47301 Petaling Jaya, Selangor, Malaysia
6A, Jalan PJU 1a/3, Ara Damansara, 47301 Petaling Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Launches in Selangor
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Aragreens-Ara Damansara
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Damansara
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM510,000
RM752 psfMedian transaction price
Does ARAGREENS-ARA DAMANSARA rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
6A, Jalan PJU 1a/3, Ara Damansara, 47301 Petaling Jaya, Selangor, Malaysia
MapsAragreens-Ara Damansara in Petaling, Selangor recorded 1 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM510K and a median price per square foot (PSF) of RM752.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM752, with most transactions between RM752 and RM752. The usual range is RM739.70 to RM764.45, showing that most units are priced quite close to each other. A typical spread (IQR) of RM24.75 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.