Taman Seri Ipil
3353, Jalan Victoria, 14300 Nibong Tebal, Pulau Pinang, Malaysia
3353, Jalan Victoria, 14300 Nibong Tebal, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Seri Ipil 1
|
RM 380,000
|
RM 223
|
1,701 sqft
|
|
|
|
Lorong Seri Ipil 1
|
RM 365,000
|
RM 216
|
1,690 sqft
|
|
|
Lorong Seri Ipil 1
|
RM 450,000
|
RM 260
|
1,733 sqft
|
|
|
|
Lorong Seri Ipil 1
|
RM 430,000
|
RM 248
|
1,733 sqft
|
|
|
Taman Seri Ipil Fasa 2
|
RM 498,000
|
RM 179
|
2,788 sqft
|
|
|
|
Taman Seri Ipil Fasa 2
|
RM 520,000
|
RM 187
|
2,788 sqft
|
|
|
|
Jalan Teluk Ipil
|
RM 520,000
|
RM 185
|
2,809 sqft
|
|
|
Taman Seri Ipil 2
|
RM 610,000
|
RM 175
|
3,477 sqft
|
|
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Market Snapshot
ResidentialRM 474,000
RM 201 psfMedian transaction price
3353, Jalan Victoria, 14300 Nibong Tebal, Pulau Pinang, Malaysia
MapsTaman Seri Ipil in Seberang Perai Selatan, Penang recorded 8 subsale transactions in 2023, with a median price of RM 474K and a median price per square foot (PSF) of RM 201.
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 RM 474K, with most transactions falling within a stable range of RM 398K to RM 550K, and a typical market range of RM 439K to RM 509K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with high diversity across multiple property types.
The median PSF stands at RM 201, with core pricing between RM 171 and RM 232. Market pricing typically extends from RM 183.88 to RM 218.63, reflecting moderate variation in unit pricing. The spread of RM 34.75 (IQR) and deviation of RM 31 (MAD) suggest moderate price variations reflecting different property features.
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.