New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 16
|
RM230,000
|
RM281
|
818 sqft
|
|
|
|
Level 17
|
RM195,000
|
RM245
|
797 sqft
|
|
Selling in Cyberjaya-Neocyber? Homes here sold for a median of RM230,000.
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Cyberjaya-Neocyber
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Dengkil
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
CommercialRM1,360,000
RM854 psfMedian transaction price
Cyberjaya, 63000 Cyberjaya, Selangor, Malaysia
MapsCyberjaya-Neocyber in Sepang, Selangor recorded 3 subsale transactions in 2024, with a median price of RM230K and a median price per square foot (PSF) of RM281.
This area contains both residential and commercial properties. View 48 residential properties or 22 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM230K, with most transactions falling within a stable range of RM195K to RM771K, and a typical market range of RM195K to RM394K.
Most transactions involved serviced apartment, with moderate diversity in property types available.
Price per square foot shows a median of RM281, though individual units vary from RM2 to RM560 in the core range. The broader market spans RM174.40 to RM387.90, indicating diverse property characteristics. A wider spread (IQR: RM213.50) and deviation (MAD: RM279) 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.