Ukay Perdana
68000 Ampang Jaya, Selangor, Malaysia
68000 Ampang Jaya, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
Selling in Ukay Perdana? Homes here sold for a median of RM480,000.
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Ukay Perdana
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 Hulu Klang
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
RM280,000
RM311 psfMedian transaction price
RM680,000
RM489 psfMedian transaction price
Ukay Perdana, 68000 Ampang Jaya, Selangor, Malaysia
MapsUkay Perdana in Gombak, Selangor recorded 2 subsale transactions in 2022, with a median price of RM480K and a median price per square foot (PSF) of RM400.
This area contains both residential and commercial properties. View 2 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM480K, with most transactions falling within a stable range of RM280K to RM680K, and a typical market range of RM393K to RM568K.
Most transactions involved condominium/apartment, with high diversity across multiple property types.
Price per square foot shows a median of RM400, though individual units vary from RM311 to RM489 in the core range. The broader market spans RM347.81 to RM452.56, indicating diverse property characteristics. The spread of RM104.75 (IQR) and deviation of RM89 (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.