D'aman Crimson

Jalan PJU 1A/41, Ara Damansara, 47301 Petaling Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

3 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM410,000
Level G
2,239 sqft RM183 PSF
RM550,000
Level 1
2,239 sqft RM246 PSF
RM298,000
Level 1
2,239 sqft RM133 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM433,000

RM424 psf

Median transaction price

RM410,000

RM183 psf

Median transaction price

High

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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D'aman Crimson
© OpenStreetMap · CARTO

Jalan PJU 1A/41, Ara Damansara, 47301 Petaling Jaya, Selangor, Malaysia

Maps

D'aman Crimson in Petaling, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 2,225 and 2,274 sqft, with a median price of RM410K and a median price per square foot (PSF) of RM183.

This area contains both residential and commercial properties. View 115 residential properties or 29 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM410K, with most transactions falling within a stable range of RM307K to RM513K, and a typical market range of RM351K to RM470K.

Most transactions involved condominium/apartment, with moderate diversity in property types available.

Price per square foot shows a median of RM183, though individual units vary from RM137 to RM229 in the core range. The broader market spans RM140.26 to RM226.01, indicating diverse property characteristics. A wider spread (IQR: RM85.75) and deviation (MAD: RM46) indicate significant PSF variations, likely due to diverse property types or conditions.

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.