Vista Damai
Jln Tun Razak, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jln Tun Razak, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 15
|
RM 550,000
|
RM 647
|
850 sqft
|
|
|
|
Level 10
|
RM 550,000
|
RM 639
|
861 sqft
|
|
|
|
Level 7
|
RM 470,000
|
RM 546
|
861 sqft
|
|
|
Level 26
|
RM 1,002,000
|
RM 690
|
1,453 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 550,000
RM 643 psfMedian transaction price
Vista Damai, Jln Tun Razak, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsVista Damai in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2024, with a median price of RM 550K and a median price per square foot (PSF) of RM 643.
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 RM 550K, with most transactions falling within a stable range of RM 470K to RM 760K, and a typical market range of RM 505K to RM 595K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 643, with most transactions between RM 590 and RM 695. The usual range is RM 607.25 to RM 678.25, showing that most units are priced quite close to each other. With an IQR of RM 71.00 and MAD of RM 52, 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.