| LIST.MY · Halaman Pengkalan Sentosa | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Blkg Halaman Pengkalan Sentosa
|
RM312,000
|
RM149
|
2,099 sqft
|
|
Terrace |
| 2022 | |||||
|
Laluan Pengkalan Sentosa 3
|
RM210,000
|
RM100
|
2,099 sqft
|
|
Terrace |
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Nearby areas in Ulu Kinta
Bandar Baru Sri Klebang
Panorama Lapangan Perdana
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Taman Kinding Flora
Taman Cempaka
Bandar Baru Lapangan
Taman Klebang Putra
Bandar Seri Botani
Taman Polo Laguna @ Tambun
Taman Desa Lang Indah
Medan Klebang Restu
Taman Pertama (Silibin)
Halaman Pengkalan Sentosa
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 Ulu Kinta
Market Snapshot
ResidentialRM261,000
RM124 psfMedian transaction price
Halaman Pengkalan Sentosa in Kinta, Perak recorded 2 subsale transactions between 2021 and 2026, sized between 2,075 and 2,124 sqft, with a median price of RM261K and a median price per square foot (PSF) of RM124.
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 RM261K, with most transactions falling within a stable range of RM210K to RM312K, and a typical market range of RM236K to RM286K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM124, with core pricing between RM100 and RM149. Market pricing typically extends from RM107.23 to RM141.48, reflecting moderate variation in unit pricing. The spread of RM34.25 (IQR) and deviation of RM24 (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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.