| LIST.MY · Pecahan Pt 9820 | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Off Jalan Pengkalan Aor
|
RM295,000
|
RM211
|
1,399 sqft
|
|
Terrace |
|
Off Jalan Pengkalan Aor
|
RM328,000
|
RM219
|
1,496 sqft
|
|
Terrace |
Selling in Pecahan Pt 9820? Homes here sold for a median of RM311,500.
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Nearby areas in Pengkalan Aor
Taman Pengkalan Utama (Aor Utama)
Desa Cemerlang (Rkt Kampung Pak Darus Ii)
Taman Kaya Ii
Taman Kaya Iii
Taman Indah Pengkalan Aor)
Taman Ria (Pengkalan Aor)
Taman Sungai Mas Fasa I
Taman Changkat Damai
Larut Tin/ Rpt Larut Tin Tambahan
Taman Pengkalan Maju
Taman Kaya I
Taman Sungai Mas Fasa Ii & Iii
Pecahan Pt 9820
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 Pengkalan Aor
Pecahan Pt 9820, Larut Matang, Perak
Pecahan Pt 9820 in Larut Matang, Perak recorded 2 subsale transactions in 2023, with a median price of RM312K and a median price per square foot (PSF) of RM215.
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 RM312K, with most transactions falling within a stable range of RM295K to RM328K, and a typical market range of RM295K to RM328K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM215, with most transactions between RM211 and RM219. The usual range is RM189.77 to RM240.27, showing that most units are priced quite close to each other. With an IQR of RM50.50 and MAD of RM4, 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. 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.