New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM200,000
|
RM241
|
829 sqft
|
|
|
|
Level 3
|
RM235,000
|
RM284
|
829 sqft
|
|
|
|
Level 2
|
RM228,000
|
RM275
|
829 sqft
|
|
|
Jaln Kolam Air Lama A
|
RM980,000
|
RM539
|
1,819 sqft
|
|
Selling in Ampang Jaya? Homes here sold for a median of RM235,000.
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Ampang Jaya
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
ResidentialRM235,000
RM275 psfMedian transaction price
Ampang Jaya, Selangor, Malaysia
MapsAmpang Jaya in Gombak, Selangor recorded 5 subsale transactions in 2024, with a median price of RM235K 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 RM235K, with most transactions falling within a stable range of RM200K to RM588K, and a typical market range of RM200K to RM390K.
Most transactions involved flats, with high diversity across multiple property types.
Price per square foot shows a median of RM275, though individual units vary from RM159 to RM392 in the core range. The broader market spans RM249.46 to RM300.72, indicating diverse property characteristics. A wider spread (IQR: RM51.25) and deviation (MAD: RM116) indicate significant PSF variations, likely due to diverse property types or conditions.
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.