New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 19
|
RM367,000
|
RM328
|
1,119 sqft
|
|
|
Jalan Seksyen 3/13C
|
RM510,000
|
RM402
|
1,270 sqft
|
|
Selling in Taman Kajang Utama? Homes here sold for a median of RM367,000.
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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 Bandar Kajang
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
RM367,000
RM328 psfMedian transaction price
RM830,000
RM409 psfMedian transaction price
Taman Kajang Utama, 43000 Kajang, Selangor, Malaysia
MapsTaman Kajang Utama in Hulu Langat, Selangor recorded 3 subsale transactions in 2026, with a median price of RM367K and a median price per square foot (PSF) of RM328.
This area contains both residential and commercial properties. View 179 residential properties or 57 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM367K, with most transactions falling within a stable range of RM261K to RM473K, and a typical market range of RM250K to RM491K.
Most transactions involved condominium/apartment, with high diversity across multiple property types.
The median PSF stands at RM328, with core pricing between RM273 and RM383. Market pricing typically extends from RM268.63 to RM387.38, reflecting moderate variation in unit pricing. The spread of RM118.75 (IQR) and deviation of RM55 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.