Taman Pengkalan Macang
Taman Pengkalan Machang, 13800 Butterworth, Pulau Pinang, Malaysia
Taman Pengkalan Machang, 13800 Butterworth, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Pengkalan Machang 5
|
RM500,000
|
RM329
|
1,518 sqft
|
|
|
Lorong Pengkalan Machang 4
|
RM570,000
|
RM321
|
1,776 sqft
|
|
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Nearby areas in 11
Taman Desa Murni
Taman Merbau Indah
Taman Seri Murni
Taman Merbau Jaya
Taman Pengkalan Macang
Taman Seri Merbau
Pusat Perniagaan Sungai Dua
Off Jalan Pokok Sena
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 11
Taman Pengkalan Machang, 13800 Butterworth, Pulau Pinang, Malaysia
MapsTaman Pengkalan Macang in Seberang Perai Utara, Penang recorded 2 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM535K and a median price per square foot (PSF) of RM325.
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 RM535K, with most transactions falling within a stable range of RM500K to RM570K, and a typical market range of RM501K to RM569K.
Within the Double Storey Terraced category, 2 - 2 1/2 storey semi-detached dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM325, with most transactions between RM321 and RM329. The usual range is RM259.44 to RM390.94, showing that most units are priced quite close to each other. With an IQR of RM131.50 and MAD of RM4, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.