New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 20
|
RM173,000
|
RM315
|
549 sqft
|
|
|
|
Level 10
|
RM280,000
|
RM510
|
549 sqft
|
|
|
|
Level 9
|
RM190,000
|
RM346
|
549 sqft
|
|
|
|
Level 5
|
RM280,000
|
RM510
|
549 sqft
|
|
|
|
Level 11
|
RM300,000
|
RM546
|
549 sqft
|
|
|
|
Level 14
|
RM170,000
|
RM310
|
549 sqft
|
|
Selling in The Place @ Cyberjaya? Homes here sold for a median of RM252,500.
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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
CommercialRM252,500
RM464 psfMedian transaction price
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1, Jalan Teknokrat 1, Cyberjaya, 63000 Cyberjaya, Selangor, Malaysia
MapsThe Place @ Cyberjaya in Sepang, Selangor recorded 16 SOHO/SOFO/SOVO properties subsale transactions between 2021 and 2026, with a median price of RM253K and a median price per square foot (PSF) of RM464.
This area contains both residential and commercial properties. View 1 residential properties or 17 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM253K, with most transactions falling within a stable range of RM211K to RM294K, and a typical market range of RM230K to RM275K.
Within the SOHO/SOFO/SOVO category, soho/sofo/sovo dominated the market, though some variety exists in the market.
The median PSF stands at RM464, with core pricing between RM390 and RM539. Market pricing typically extends from RM418.46 to RM510.46, reflecting moderate variation in unit pricing. The spread of RM92.00 (IQR) and deviation of RM74 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.