Residensi Rah

16, Jalan Raja Ali, off, Jalan Raja Abdullah, Kampung Baru, 50300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, 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

1 subsales found

Median
RM560,000
PSF
RM500
Price Size
Period
transactions middle 50% (P25–P75)
RM560,000
Level 11
1,119 sqft RM500 PSF
Legend Recent Highest Price Highest PSF

Selling in Residensi Rah? Homes here sold for a median of RM560,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Residensi Rah

What’s happening in Residensi Rah?

No posts about Residensi Rah yet. Be the first to share what’s happening here.

Residensi Rah
© OpenStreetMap · CARTO

16, Jalan Raja Ali, off, Jalan Raja Abdullah, Kampung Baru, 50300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Rah in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM560K and a median price per square foot (PSF) of RM500.

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 RM500, with most transactions between RM500 and RM500. The usual range is RM487.50 to RM513.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM25.50 and an average deviation (MAD) of RM0 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.