|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2023 | |||||
|
Tingkat Siram Dua
|
RM 2,250,000
|
RM 389
|
5,780 sqft
|
|
Semi-D Factory |
| 2022 | |||||
|
Jalan Siram
|
RM 1,750,000
|
RM 466
|
3,757 sqft
|
|
Terrace Factory |
|
Jalan Siram
|
RM 3,850,000
|
RM 455
|
8,460 sqft
|
|
Semi-D Factory |
|
Jalan Siram
|
RM 1,470,000
|
RM 391
|
3,757 sqft
|
|
Terrace Factory |
|
Jalan Siram
|
RM 3,200,000
|
RM 423
|
7,556 sqft
|
|
Semi-D Factory |
|
Jalan Siram
|
RM 3,000,000
|
RM 340
|
8,816 sqft
|
|
Semi-D Factory |
| 2021 | |||||
|
Jalan Siram
|
RM 2,900,000
|
RM 390
|
7,438 sqft
|
|
Semi-D Factory |
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Market Snapshot
CommercialRM 2,900,000
RM 423 psfMedian transaction price
Park, E17 Lebuhraya Lingkaran Luar Butterworth, Bandar Seberang Jaya, 13700 Perai, Penang, Malaysia
MapsSiram Industrial Park in Seberang Perai Utara, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 2.90 million and a median price per square foot (PSF) of RM 391.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 2.90 million, with most transactions falling within a stable range of RM 2.25 million to RM 3.55 million, and a typical market range of RM 2.35 million to RM 3.45 million.
Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.
For price per square foot, the median is RM 391, with most transactions between RM 357 and RM 425. The usual range is RM 321.81 to RM 460.81, showing that most units are priced quite close to each other. With an IQR of RM 139.00 and MAD of RM 34, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.