Ritze Perdana

Damansara Perdana, 47820 Petaling Jaya, Selangor, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM600K
Size
800 sqft

Property Transactions

3 subsales found

Median
RM273,000
PSF
RM541
Price Size
Period
transactions middle 50% (P25–P75)
RM350,000
Level 7
506 sqft RM692 PSF
RM260,000
Level G
505 sqft RM515 PSF
RM273,000
Level 2
505 sqft RM541 PSF
Legend Recent Highest Price Highest PSF

New Launches in Selangor

View all

Posts about Ritze Perdana

What’s happening in Ritze Perdana?

No posts about Ritze Perdana yet. Be the first to share what’s happening here.

Property News

More property news →
Ritze Perdana Service Apt
© OpenStreetMap · CARTO

Ritze Perdana, Damansara Perdana, 47820 Petaling Jaya, Selangor, Malaysia

Maps

Ritze Perdana in Petaling, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 475 and 524 sqft, with a median price of RM273K and a median price per square foot (PSF) of RM541.

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 RM273K, with most transactions falling within a stable range of RM260K to RM313K, and a typical market range of RM260K to RM309K.

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

The median PSF stands at RM541, with core pricing between RM463 and RM619. Market pricing typically extends from RM497.91 to RM583.41, reflecting moderate variation in unit pricing. With an IQR of RM85.50 and MAD of RM78, the PSF demonstrates reasonable consistency across the market.

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.