New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2023 | |||||
|
Level 16
|
RM 220,000
|
RM 276
|
797 sqft
|
|
Condo |
| 2022 | |||||
|
Level 12
|
RM 220,000
|
RM 276
|
797 sqft
|
|
Condo |
| 2021 | |||||
|
Level 9
|
RM 400,000
|
RM 502
|
797 sqft
|
|
Condo |
Auction Properties
3 auction properties in Cyberjaya
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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
RM 220,000
RM 276 psfMedian transaction price
RM 266,500
RM 542 psfMedian transaction price
Cyberjaya, Selangor, Malaysia
MapsCyberjaya in Sepang, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 775 and 824 sqft, with a median price of RM 220K and a median price per square foot (PSF) of RM 276.
This area contains both residential and commercial properties. View 70 residential properties or 34 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 220K, with most transactions falling within a stable range of RM 220K to RM 305K, and a typical market range of RM 220K to RM 375K.
Most transactions involved condominium/apartment, with high diversity across multiple property types.
Price per square foot shows a median of RM 276, though individual units vary from RM 170 to RM 383 in the core range. The broader market spans RM 172.33 to RM 380.08, indicating diverse property characteristics. A wider spread (IQR: RM 207.75) and deviation (MAD: RM 107) 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.