| LIST.MY · P/L 2491 Pengkalan Nangka | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Off Jalan Kampung Lampu - Pekan Kuala Besu
|
RM250,000
|
RM167
|
1,496 sqft
|
|
Terrace |
|
Off Jalan Kampung Lampu - Pekan Kuala Besu
|
RM270,000
|
RM180
|
1,496 sqft
|
|
Terrace |
| 2024 | |||||
|
Off Jalan Kampung Lampu - Pekan Kuala Besu
|
RM230,000
|
RM154
|
1,496 sqft
|
|
Terrace |
|
Off Jalan Kampung Lampu - Pekan Kuala Besu
|
RM270,000
|
RM180
|
1,496 sqft
|
|
Terrace |
Selling in P/L 2491 Pengkalan Nangka? Homes here sold for a median of RM260,000.
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Nearby areas in Pengkalan Nangka
Kampung Pengkalan Nangka
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P/L 2491 Pengkalan Nangka
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 Nangka
P/L 2491 Pengkalan Nangka in Besut, Terengganu recorded 4 subsale transactions between 2021 and 2026, with a median price of RM260K and a median price per square foot (PSF) of RM180.
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 RM260K, with most transactions falling within a stable range of RM250K to RM270K, and a typical market range of RM248K to RM270K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM180, with most transactions between RM174 and RM187. The usual range is RM172.34 to RM188.59, showing that most units are priced quite close to each other. A typical spread (IQR) of RM16.25 and an average deviation (MAD) of RM7 indicate a highly stable PSF trend across properties.
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.