Angsa Apt
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
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Selling in Angsa Apt? Homes here sold for a median of RM307,500.
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Angsa Apt
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 Mukim Batu
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
ResidentialRM307,500
RM380 psfMedian transaction price
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsAngsa Apt in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2022, with a median price of RM308K and a median price per square foot (PSF) of RM380.
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 RM308K, with most transactions falling within a stable range of RM268K to RM358K, and a typical market range of RM270K to RM345K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM380, with most transactions between RM366 and RM395. The usual range is RM365.32 to RM395.32, showing that most units are priced quite close to each other. A typical spread (IQR) of RM30.00 and an average deviation (MAD) of RM15 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.