New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 20
|
RM 318,000
|
RM 687
|
463 sqft
|
|
Serviced Apt |
|
Level 22
|
RM 210,000
|
RM 454
|
463 sqft
|
|
Condo |
|
Level 21
|
RM 348,000
|
RM 752
|
463 sqft
|
|
Serviced Apt |
|
Level 23
|
RM 200,000
|
RM 432
|
463 sqft
|
|
Serviced Apt |
|
Level 10
|
RM 210,000
|
RM 454
|
463 sqft
|
|
Serviced Apt |
|
Level 17
|
RM 324,000
|
RM 700
|
463 sqft
|
|
Serviced Apt |
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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
Menara Solstice, Persiaran Bestari, Cyber 11, 63000 Cyberjaya, Selangor, Malaysia
MapsCyberjaya (Solstice Residence) in Sepang, Selangor recorded 10 subsale transactions in 2023, with a median price of RM 210K and a median price per square foot (PSF) of RM 454.
This area contains both residential and commercial properties. View 25 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 210K, with most transactions falling within a stable range of RM 190K to RM 270K, and a typical market range of RM 190K to RM 268K.
Most transactions involved serviced apartment, though some variety exists in the market.
Price per square foot shows a median of RM 454, though individual units vary from RM 324 to RM 584 in the core range. The broader market spans RM 341.34 to RM 566.09, indicating diverse property characteristics. A wider spread (IQR: RM 224.75) and deviation (MAD: RM 130) 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.