Taman Seri Acheh
14300 Nibong Tebal, Pulau Pinang, Malaysia
14300 Nibong Tebal, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Sri Acheh 2
|
RM265,000
|
RM265
|
1,001 sqft
|
|
|
|
Lorong Seri Acheh
|
RM250,000
|
RM250
|
1,001 sqft
|
|
|
|
Lorong Seri Acheh 9
|
RM220,000
|
RM220
|
1,001 sqft
|
|
|
Lorong Sri Acheh Satu
|
RM210,000
|
RM199
|
1,055 sqft
|
|
|
|
Jalan Sri Acheh 1
|
RM190,000
|
RM180
|
1,055 sqft
|
|
|
Lorong Seri Acheh 6
|
RM330,000
|
RM186
|
1,776 sqft
|
|
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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 9
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Market Snapshot
ResidentialRM235,000
RM209 psfMedian transaction price
Taman Seri Acheh, 14300 Nibong Tebal, Pulau Pinang, Malaysia
MapsTaman Seri Acheh in Seberang Perai Selatan, Penang recorded 6 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM235K and a median price per square foot (PSF) of RM209.
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 RM235K, with most transactions falling within a stable range of RM190K to RM281K, and a typical market range of RM190K to RM285K.
Within the Low-Cost House category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.
The median PSF stands at RM209, with core pricing between RM178 and RM241. Market pricing typically extends from RM153.92 to RM264.92, reflecting moderate variation in unit pricing. The spread of RM111.00 (IQR) and deviation of RM32 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.