Taman Hwa Seng
14000 Bukit Mertajam, Pulau Pinang, Malaysia
14000 Bukit Mertajam, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Tingkat Kancil 2
|
RM430,000
|
RM307
|
1,399 sqft
|
|
|
|
Tingkat Kancil 2
|
RM250,000
|
RM179
|
1,399 sqft
|
|
|
|
Tingkat Kancil 1
|
RM345,000
|
RM247
|
1,399 sqft
|
|
|
Tkt Kancil 1
|
RM400,000
|
RM137
|
2,917 sqft
|
|
|
Jalan Rozhan
|
RM960,000
|
RM240
|
4,004 sqft
|
|
|
|
Jalan Rozhan
|
RM1,300,000
|
RM325
|
4,004 sqft
|
|
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Taman Hwa Seng
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 15
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Market Snapshot
ResidentialRM415,000
RM244 psfMedian transaction price
Taman Hwa Seng, 14000 Bukit Mertajam, Pulau Pinang, Malaysia
MapsTaman Hwa Seng in Seberang Perai Tengah, Penang recorded 6 subsale transactions between 2021 and 2026, with a median price of RM415K and a median price per square foot (PSF) of RM247.
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 RM415K, with most transactions falling within a stable range of RM298K to RM533K, and a typical market range of RM250K to RM649K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
Price per square foot shows a median of RM247, though individual units vary from RM183 to RM311 in the core range. The broader market spans RM197.68 to RM295.43, indicating diverse property characteristics. A wider spread (IQR: RM97.75) and deviation (MAD: RM64) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.