Taman Pekatra Indah
15, Jalan Pekatra Indah, Taman Pekatra Indah, 14120 Simpang Ampat, Pulau Pinang, Malaysia
15, Jalan Pekatra Indah, Taman Pekatra Indah, 14120 Simpang Ampat, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Pekatra Indah 24
|
RM 362,000
|
RM 95
|
3,800 sqft
|
|
|
Lorong Pekatra Indah 24
|
RM 499,000
|
RM 125
|
4,004 sqft
|
|
|
|
Lorong Pekatra Indah 24
|
RM 460,000
|
RM 115
|
4,004 sqft
|
|
|
|
Lorong Peketra Indah 2
|
RM 612,000
|
RM 153
|
4,004 sqft
|
|
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Market Snapshot
RM 479,500
RM 120 psfMedian transaction price
RM 280,000
RM 192 psfMedian transaction price
15, Jalan Pekatra Indah, Taman Pekatra Indah, 14120 Simpang Ampat, Pulau Pinang, Malaysia
MapsTaman Pekatra Indah in Seberang Perai Selatan, Penang recorded 4 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 480K and a median price per square foot (PSF) of RM 120.
This area contains both residential and commercial properties. View 54 residential properties or 14 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 480K, with most transactions falling within a stable range of RM 390K to RM 569K, and a typical market range of RM 435K to RM 524K.
Within the Bungalow category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 120, with core pricing between RM 99 and RM 141. Market pricing typically extends from RM 73.38 to RM 166.13, reflecting moderate variation in unit pricing. The spread of RM 92.75 (IQR) and deviation of RM 21 (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.