Desaria (Regency Heights)
Changkat Sungai Ara, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
Changkat Sungai Ara, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM475,000
|
RM374
|
1,270 sqft
|
|
|
|
Level 6
|
RM499,000
|
RM393
|
1,270 sqft
|
|
|
|
Level 16
|
RM510,000
|
RM402
|
1,270 sqft
|
|
|
|
Level 16
|
RM510,000
|
RM402
|
1,270 sqft
|
|
|
|
Level 5
|
RM488,000
|
RM384
|
1,270 sqft
|
|
|
|
Level 15
|
RM550,000
|
RM433
|
1,270 sqft
|
|
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Desaria (Regency Heights)
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 12
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Market Snapshot
ResidentialRM499,000
RM393 psfMedian transaction price
Changkat Sungai Ara, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsDesaria (Regency Heights) in Barat Daya, Penang recorded 17 subsale transactions between 2021 and 2026, with a median price of RM499K and a median price per square foot (PSF) of RM393.
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 RM499K, with most transactions falling within a stable range of RM460K to RM539K, and a typical market range of RM471K to RM527K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM393, with most transactions between RM361 and RM425. The usual range is RM369.50 to RM416.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM47.00 and an average deviation (MAD) of RM32 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.