Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Sekilau 48
|
RM390,000
|
RM312
|
1,249 sqft
|
|
|
Lorong Sekilau 48
|
RM345,000
|
RM214
|
1,615 sqft
|
|
|
|
Lorong Sekilau 44
|
RM350,000
|
RM217
|
1,615 sqft
|
|
|
|
Lorong Sekilau 45
|
RM390,000
|
RM242
|
1,615 sqft
|
|
|
|
Lorong Sekilau 45
|
RM350,000
|
RM217
|
1,615 sqft
|
|
|
Lorong Sekilau 47
|
RM280,000
|
RM172
|
1,627 sqft
|
|
|
Lorong Sekilau 47
|
RM390,000
|
RM200
|
1,948 sqft
|
|
Selling in Mahkota? Homes here sold for a median of RM350,000.
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Mahkota
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
ResidentialRM350,000
RM217 psfMedian transaction price
Mahkota, Kuantan, Pahang
Mahkota in Kuantan, Pahang recorded 7 subsale transactions in 2022, with a median price of RM350K and a median price per square foot (PSF) of RM217.
This area contains both residential and commercial properties. View 14 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM350K, with most transactions falling within a stable range of RM313K to RM387K, and a typical market range of RM329K to RM371K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
The median PSF stands at RM217, with core pricing between RM176 and RM257. Market pricing typically extends from RM200.77 to RM232.77, reflecting moderate variation in unit pricing. The spread of RM32.00 (IQR) and deviation of RM41 (MAD) suggest moderate price variations reflecting different property features.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.