| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM400,000
|
RM572
|
700 sqft
|
|
|
|
Level 16
|
RM420,000
|
RM600
|
700 sqft
|
|
|
|
Level 22
|
RM390,000
|
RM557
|
700 sqft
|
|
|
|
Level 12
|
RM360,000
|
RM515
|
700 sqft
|
|
|
|
Level 15
|
RM410,000
|
RM586
|
700 sqft
|
|
|
|
Level 14
|
RM400,000
|
RM572
|
700 sqft
|
|
Selling in Serina Bay? Homes here sold for a median of RM400,000.
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Serina 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 Georgetown
Market Snapshot
ResidentialRM400,000
RM572 psfMedian transaction price
Does SERINA BAY rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Jalan Serina Bay, 11600 Jelutong, Pulau Pinang, Malaysia
MapsSerina Bay in Timur Laut, Penang recorded 11 subsale transactions in 2023, with a median price of RM400K and a median price per square foot (PSF) of RM572.
This area contains both residential and commercial properties. View 42 residential properties or 6 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM400K, with most transactions falling within a stable range of RM321K to RM450K, and a typical market range of RM364K to RM436K.
Most transactions involved flats, though some variety exists in the market.
The median PSF stands at RM572, with core pricing between RM498 and RM646. Market pricing typically extends from RM529.34 to RM614.09, reflecting moderate variation in unit pricing. With an IQR of RM84.75 and MAD of RM74, 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. 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.