| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Bukit Setongkol Perdana 55
|
RM415,000
|
RM218
|
1,905 sqft
|
|
|
|
Lorong Bukit Setongkol Perdana 54
|
RM427,000
|
RM224
|
1,905 sqft
|
|
|
|
Bukit Setongkol
|
RM437,000
|
RM229
|
1,905 sqft
|
|
|
|
Lorong Bukit Setongkol Perdana 55
|
RM400,000
|
RM210
|
1,905 sqft
|
|
|
|
Lorong Bukit Setongkol Perdana 54
|
RM437,000
|
RM229
|
1,905 sqft
|
|
|
|
Lorong Bukit Setongkol Baru 57
|
RM410,000
|
RM215
|
1,905 sqft
|
|
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P/Lot 777
marks an area with a property for sale or rent on our marketplace
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
Market Snapshot
ResidentialRM425,000
RM223 psfMedian transaction price
P/Lot 777 in Kuantan, Pahang recorded 15 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM425K and a median price per square foot (PSF) of RM223.
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 RM425K, with most transactions falling within a stable range of RM409K to RM440K, and a typical market range of RM410K to RM440K.
Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.
For price per square foot, the median is RM223, with most transactions between RM215 and RM231. The usual range is RM208.57 to RM237.57, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.00 and an average deviation (MAD) of RM8 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.