New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 11
|
RM 200,000
|
RM 453
|
441 sqft
|
|
|
|
Level 10
|
RM 330,000
|
RM 748
|
441 sqft
|
|
|
|
Level 12
|
RM 183,000
|
RM 415
|
441 sqft
|
|
|
|
Level 12
|
RM 330,000
|
RM 748
|
441 sqft
|
|
|
|
Level 9
|
RM 180,000
|
RM 408
|
441 sqft
|
|
|
|
Level 13
|
RM 350,000
|
RM 793
|
441 sqft
|
|
|
Level 24
|
RM 430,000
|
RM 615
|
700 sqft
|
|
|
|
Level 20
|
RM 220,000
|
RM 314
|
700 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
Persiaran Harmoni, Cyber 3, 63000 Cyberjaya, Selangor, Malaysia
MapsCyberjaya (Garden Plaza-Service Apt) in Sepang, Selangor recorded 12 subsale transactions in 2024, with a median price of RM 260K and a median price per square foot (PSF) of RM 541.
This area contains both residential and commercial properties. View 28 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 260K, with most transactions falling within a stable range of RM 180K to RM 346K, and a typical market range of RM 181K to RM 339K.
Most transactions involved serviced apartment, with minimal variety in property types.
Price per square foot shows a median of RM 541, though individual units vary from RM 360 to RM 721 in the core range. The broader market spans RM 369.49 to RM 711.74, indicating diverse property characteristics. A wider spread (IQR: RM 342.25) and deviation (MAD: RM 181) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.