| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Pandan Sejahtera
|
RM192,000
|
RM120
|
1,604 sqft
|
|
|
|
Lorong Pandan Sejahtera 1/6
|
RM192,000
|
RM120
|
1,604 sqft
|
|
|
|
Lorong Pandan Sejahtera 1/6
|
RM192,000
|
RM120
|
1,604 sqft
|
|
|
Lorong Pandan Sejahtera 1/6
|
RM218,000
|
RM123
|
1,765 sqft
|
|
|
Lorong Pandan Sejahtera 1/6
|
RM228,000
|
RM119
|
1,916 sqft
|
|
|
Lorong Pandan Sejahtera 1/6
|
RM238,000
|
RM76
|
3,143 sqft
|
|
|
Lorong Pandan Sejahtera 1/6
|
RM233,000
|
RM72
|
3,218 sqft
|
|
|
Lorong Pandan Sejahtera
|
RM252,000
|
RM58
|
4,327 sqft
|
|
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Pec Lot 25011 Kampung Pandan
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 Kuala Kuantan
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Market Snapshot
ResidentialRM223,000
RM120 psfMedian transaction price
Pec Lot 25011 Kampung Pandan in Kuantan, Pahang recorded 8 subsale transactions between 2021 and 2026, with a median price of RM223K and a median price per square foot (PSF) of RM120.
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 RM223K, with most transactions falling within a stable range of RM201K to RM245K, and a typical market range of RM202K to RM244K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM120, with most transactions between RM118 and RM122. The usual range is RM97.21 to RM142.21, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.00 and an average deviation (MAD) of RM2 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.