Halaman Damai
Kampung Rawa, 10150 George Town, Pulau Pinang, Malaysia
Kampung Rawa, 10150 George Town, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM325,000
|
RM465
|
700 sqft
|
|
|
|
Level 5
|
RM280,000
|
RM400
|
700 sqft
|
|
|
|
Level 2
|
RM310,000
|
RM443
|
700 sqft
|
|
|
|
Level 7
|
RM300,000
|
RM429
|
700 sqft
|
|
|
|
Level 14
|
RM350,000
|
RM500
|
700 sqft
|
|
|
|
Level 4
|
RM300,000
|
RM428
|
700 sqft
|
|
|
|
Level 16
|
RM300,000
|
RM429
|
700 sqft
|
|
|
|
Level 2
|
RM350,000
|
RM500
|
700 sqft
|
|
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Halaman Damai
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
ResidentialRM305,000
RM436 psfMedian transaction price
Halaman Damai, Kampung Rawa, 10150 George Town, Pulau Pinang, Malaysia
MapsHalaman Damai in Timur Laut, Penang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM305K and a median price per square foot (PSF) of RM443.
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 RM305K, with most transactions falling within a stable range of RM293K to RM318K, and a typical market range of RM289K to RM321K.
Most transactions involved flats, with minimal variety in property types.
For price per square foot, the median is RM443, with most transactions between RM425 and RM462. The usual range is RM420.58 to RM465.58, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.00 and an average deviation (MAD) of RM19 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.