Property Type
| LIST.MY · Taman Tun Hussein | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Level 4
|
RM100,000
|
RM147
|
678 sqft
|
|
LC Flat |
| 2023 | |||||
|
Level 1
|
RM120,000
|
RM177
|
678 sqft
|
|
LC Flat |
| 2021 | |||||
|
Level 5
|
RM70,000
|
RM103
|
678 sqft
|
|
LC Flat |
Selling in Taman Tun Hussein? Homes here sold for a median of RM100,000.
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The Prominence
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 6
Market Snapshot
ResidentialRM100,000
RM147 psfMedian transaction price
Taman Tun Hussein, 13700 Perai, Pulau Pinang, Malaysia
MapsTaman Tun Hussein in Seberang Perai Tengah, Penang recorded 3 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM100K and a median price per square foot (PSF) of RM147.
This area contains both residential and commercial properties. View 61 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM100K, with most transactions falling within a stable range of RM79K to RM120K, and a typical market range of RM70K to RM120K.
Most transactions involved low-cost flat, though some variety exists in the market.
Price per square foot shows a median of RM147, though individual units vary from RM117 to RM178 in the core range. The broader market spans RM86.09 to RM208.84, indicating diverse property characteristics. The spread of RM122.75 (IQR) and deviation of RM30 (MAD) suggest moderate price variations reflecting different property features.
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.