| Price | PSF | Size | Date | Type |
|---|
|
RM322,000
|
RM185
|
1,744 sqft
|
|
|
|
RM323,000
|
RM183
|
1,765 sqft
|
|
|
|
RM399,000
|
RM80
|
5,005 sqft
|
|
|
|
RM323,000
|
RM184
|
1,755 sqft
|
|
|
|
RM313,000
|
RM170
|
1,841 sqft
|
|
|
|
RM311,000
|
RM173
|
1,798 sqft
|
|
|
RM339,000
|
RM202
|
1,679 sqft
|
|
|
|
RM383,000
|
RM149
|
2,573 sqft
|
|
|
RM359,000
|
RM127
|
2,820 sqft
|
|
|
|
RM346,000
|
RM121
|
2,863 sqft
|
|
Selling in Mahkota Impian (P/L 164414)? Homes here sold for a median of RM322,500.
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Mahkota Impian (P/L 164414)
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
ResidentialRM322,500
RM171 psfMedian transaction price
Mahkota Impian (P/L 164414), Kuantan, Pahang
Mahkota Impian (P/L 164414) in Kuantan, Pahang recorded 14 subsale transactions between 2021 and 2026, with a median price of RM323K and a median price per square foot (PSF) of RM172.
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 RM323K, with most transactions falling within a stable range of RM312K to RM334K, and a typical market range of RM310K to RM338K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM172, with most transactions between RM159 and RM184. The usual range is RM157.76 to RM185.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM27.50 and an average deviation (MAD) of RM13 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.