Taman Sukaria
Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Penang, Malaysia
Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Penang, Malaysia
| LIST.MY · Taman Sukaria | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Level 5
|
RM130,000
|
RM189
|
689 sqft
|
|
LC Flat |
|
Level 4
|
RM83,000
|
RM120
|
689 sqft
|
|
LC Flat |
|
Lintang Mak Mandin 1
|
RM565,000
|
RM328
|
1,722 sqft
|
|
2-Sty Terrace |
Selling in Taman Sukaria? Homes here sold for a median of RM130,000.
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Taman Sukaria
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
ResidentialRM130,000
RM189 psfMedian transaction price
Kawasan Perindustrian Mak Mandin, 13400 Butterworth, Penang, Malaysia
MapsTaman Sukaria in Seberang Perai Utara, Penang recorded 3 subsale transactions in 2025, with a median price of RM130K and a median price per square foot (PSF) of RM189.
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 RM130K, with most transactions falling within a stable range of RM83K to RM347K, and a typical market range of RM106K to RM154K.
Most transactions involved low-cost flat, though some variety exists in the market.
Price per square foot shows a median of RM189, though individual units vary from RM102 to RM275 in the core range. The broader market spans RM153.71 to RM223.71, indicating diverse property characteristics. A wider spread (IQR: RM70.00) and deviation (MAD: RM86) 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.