Desa Ara
Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
| LIST.MY · Desa Ara | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Lintang Sungai Ara 3
|
RM870,000
|
RM542
|
1,604 sqft
|
|
Terrace |
|
Lintang Sungai Ara 3
|
RM700,000
|
RM436
|
1,604 sqft
|
|
Terrace |
| 2022 | |||||
|
Lintang Sungai Ara 1
|
RM800,000
|
RM499
|
1,604 sqft
|
|
Terrace |
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Desa Ara
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
Market Snapshot
ResidentialRM800,000
RM499 psfMedian transaction price
Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsDesa Ara in Barat Daya, Penang recorded 3 subsale transactions between 2021 and 2026, sized between 1,575 and 1,624 sqft, with a median price of RM800K and a median price per square foot (PSF) of RM499.
This area contains both residential and commercial properties. View 45 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM800K, with most transactions falling within a stable range of RM730K to RM870K, and a typical market range of RM700K to RM870K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM499, with most transactions between RM455 and RM542. The usual range is RM398.56 to RM599.06, showing that most units are priced quite close to each other. With an IQR of RM200.50 and MAD of RM44, the PSF demonstrates reasonable consistency across the market.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.