Neo Damansara-PJU 8 D'sara Perdana

Damansara Perdana, 47820 Petaling Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

17 subsales grouped by size

Median
RM280,000
PSF
RM649
Price Size
Period
transactions middle 50% (P25–P75)
400 sqft
Serviced Apt
RM300,000
Level 11
421 sqft · RM713 PSF
RM240,000
Level 18
421 sqft · RM570 PSF
RM290,000
Level 11
421 sqft · RM689 PSF
RM260,000
Level 19
421 sqft · RM618 PSF
RM280,000
Level 21
421 sqft · RM665 PSF
RM320,000
Level 11
421 sqft · RM760 PSF
+9 more
950 sqft
Serviced Apt
RM360,000
Level 15
933 sqft · RM386 PSF
1,850 sqft
Serviced Apt
RM1,200,000
Level G
1,854 sqft · RM647 PSF
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Neo Damansara-PJU 8 D'sara Perdana
© OpenStreetMap · CARTO

Damansara Perdana, 47820 Petaling Jaya, Selangor, Malaysia

Maps

Neo Damansara-PJU 8 D'sara Perdana in Petaling, Selangor recorded 17 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM280K and a median price per square foot (PSF) of RM649.

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 RM280K, with most transactions falling within a stable range of RM164K to RM501K, and a typical market range of RM256K to RM304K.

Within the Serviced Apt category, serviced apartment dominated the market, with minimal variety in property types.

The median PSF stands at RM649, with core pricing between RM530 and RM767. Market pricing typically extends from RM607.16 to RM690.16, reflecting moderate variation in unit pricing. The spread of RM83.00 (IQR) and deviation of RM118 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.