Plaza Damansara
51, Jalan Medan Setia 1, Bukit Damansara, 50490 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
51, Jalan Medan Setia 1, Bukit Damansara, 50490 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM 4,800,000
|
RM 4,247
|
1,130 sqft
|
|
|
Level 1
|
RM 1,600,000
|
RM 1,281
|
1,249 sqft
|
|
Posts about Plaza Damansara
No posts about Plaza Damansara yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
CommercialRM 3,200,000
RM 2,764 psfMedian transaction price
Plaza Damansara, 51, Jalan Medan Setia 1, Bukit Damansara, 50490 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsPlaza Damansara in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions in 2025, with a median price of RM 3.20 million and a median price per square foot (PSF) of RM 2,764.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 3.20 million, with most transactions falling within a stable range of RM 1.60 million to RM 4.80 million, and a typical market range of RM 2.90 million to RM 3.50 million.
Most transactions involved office lot, with high diversity across multiple property types.
Price per square foot shows a median of RM 2,764, though individual units vary from RM 1,281 to RM 4,247 in the core range. The broader market spans RM 2,481.71 to RM 3,046.71, indicating diverse property characteristics. A wider spread (IQR: RM 565.00) and deviation (MAD: RM 1,483) 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.