New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM150,000
|
RM229
|
655 sqft
|
|
|
|
Level 15
|
RM180,000
|
RM275
|
655 sqft
|
|
|
|
Level 2
|
RM165,000
|
RM252
|
655 sqft
|
|
|
|
Level 4
|
RM180,000
|
RM275
|
655 sqft
|
|
|
|
Level 9
|
RM180,000
|
RM275
|
655 sqft
|
|
Selling in Taman Ukay Indah? Homes here sold for a median of RM180,000.
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Taman Ukay Indah
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 Hulu Kelang
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
ResidentialRM180,000
RM275 psfMedian transaction price
Jalan Ukay Indah, 68000, Selangor, Malaysia
MapsTaman Ukay Indah in Gombak, Selangor recorded 5 subsale transactions in 2024, with a median price of RM180K and a median price per square foot (PSF) of RM275.
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 RM180K, with most transactions falling within a stable range of RM168K to RM180K, and a typical market range of RM170K to RM180K.
Most transactions involved low-cost flat, with minimal variety in property types.
For price per square foot, the median is RM275, with most transactions between RM257 and RM293. The usual range is RM259.45 to RM290.45, showing that most units are priced quite close to each other. A typical spread (IQR) of RM31.00 and an average deviation (MAD) of RM18 indicate a highly stable PSF trend across properties.
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.