New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 7
|
RM 340,000
|
RM 400
|
850 sqft
|
|
|
|
Level 8
|
RM 335,000
|
RM 394
|
850 sqft
|
|
|
|
Level 16
|
RM 350,000
|
RM 412
|
850 sqft
|
|
|
|
Level 16
|
RM 325,000
|
RM 377
|
861 sqft
|
|
|
Level 19
|
RM 373,000
|
RM 393
|
950 sqft
|
|
|
|
Level 6
|
RM 480,000
|
RM 505
|
950 sqft
|
|
|
|
Level 16
|
RM 390,000
|
RM 411
|
950 sqft
|
|
|
Level 12
|
RM 712,000
|
RM 533
|
1,335 sqft
|
|
|
|
Level 17
|
RM 712,000
|
RM 533
|
1,335 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
Market Snapshot
ResidentialRM 390,000
RM 394 psfMedian transaction price
Persiaran Semarak Api, Cyberjaya, 63000 Cyberjaya, Selangor, Malaysia
MapsLakefront Residence @ Cyberjaya in Sepang, Selangor recorded 13 subsale transactions in 2022, with a median price of RM 390K and a median price per square foot (PSF) of RM 394.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 390K, with most transactions falling within a stable range of RM 325K to RM 522K, and a typical market range of RM 325K to RM 459K.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 394, with core pricing between RM 320 and RM 468. Market pricing typically extends from RM 330.48 to RM 457.73, reflecting moderate variation in unit pricing. The spread of RM 127.25 (IQR) and deviation of RM 74 (MAD) suggest moderate price variations reflecting different property features.
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.