Vista Bay
Butterworth, Penang, Malaysia
Butterworth, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 7
|
RM460,000
|
RM365
|
1,259 sqft
|
|
|
|
Level 7
|
RM440,000
|
RM349
|
1,259 sqft
|
|
|
|
Level 12
|
RM380,000
|
RM302
|
1,259 sqft
|
|
|
|
Level 15
|
RM440,000
|
RM349
|
1,259 sqft
|
|
|
|
Level 8
|
RM426,000
|
RM338
|
1,259 sqft
|
|
|
|
Level 8
|
RM435,000
|
RM345
|
1,259 sqft
|
|
|
Level 12
|
RM560,000
|
RM317
|
1,765 sqft
|
|
|
|
Level 11
|
RM500,000
|
RM283
|
1,765 sqft
|
|
|
Level 14
|
RM610,000
|
RM249
|
2,454 sqft
|
|
|
|
Level 13
|
RM600,000
|
RM244
|
2,454 sqft
|
|
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Vista Bay
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 Butterworth
Market Snapshot
ResidentialRM435,000
RM338 psfMedian transaction price
Butterworth, Penang, Malaysia
MapsVista Bay in Seberang Perai Utara, Penang recorded 15 subsale transactions between 2021 and 2026, with a median price of RM435K and a median price per square foot (PSF) of RM338.
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 RM435K, with most transactions falling within a stable range of RM410K to RM460K, and a typical market range of RM409K to RM461K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM338, with most transactions between RM317 and RM359. The usual range is RM313.76 to RM362.76, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.00 and an average deviation (MAD) of RM21 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.