Senzvilles
Lilitan Sungai Ara, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
Lilitan Sungai Ara, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 32
|
RM645,000
|
RM618
|
1,044 sqft
|
|
|
|
Level 9
|
RM550,000
|
RM527
|
1,044 sqft
|
|
|
|
Level 27
|
RM630,000
|
RM603
|
1,044 sqft
|
|
|
|
Level 4
|
RM573,000
|
RM549
|
1,044 sqft
|
|
|
|
Level 12
|
RM585,000
|
RM560
|
1,044 sqft
|
|
|
|
Level 17
|
RM550,000
|
RM527
|
1,044 sqft
|
|
|
|
Level 23
|
RM590,000
|
RM565
|
1,044 sqft
|
|
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Senzvilles
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 10
Market Snapshot
ResidentialRM585,000
RM560 psfMedian transaction price
Lilitan Sungai Ara, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia
MapsSenzvilles in Barat Daya, Penang recorded 7 subsale transactions between 2021 and 2026, sized between 1,025 and 1,074 sqft, with a median price of RM585K and a median price per square foot (PSF) of RM560.
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 RM585K, with most transactions falling within a stable range of RM551K to RM619K, and a typical market range of RM550K to RM645K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM560, with most transactions between RM528 and RM593. The usual range is RM515.79 to RM604.79, showing that most units are priced quite close to each other. With an IQR of RM89.00 and MAD of RM33, the PSF demonstrates reasonable consistency across the market.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.