Mahkota

Pahang, Kuantan, Kuala Kuantan

Property Transactions

15 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM470,000
1,615 sqft
RM291 PSF
RM350,000
1,281 sqft
RM273 PSF
RM345,000
1,615 sqft
RM214 PSF
RM390,000
1,249 sqft
RM312 PSF
RM620,000
1,884 sqft
RM329 PSF
RM390,000
1,615 sqft
RM242 PSF
RM350,000
1,615 sqft
RM217 PSF
RM270,000
1,604 sqft
RM168 PSF
RM390,000
1,948 sqft
RM200 PSF
RM280,000
1,627 sqft
RM172 PSF
RM320,000
1,615 sqft
RM198 PSF
RM350,000
1,615 sqft
RM217 PSF
RM390,000
1,572 sqft
RM248 PSF
RM375,000
1,615 sqft
RM232 PSF
RM630,000
3,003 sqft
RM210 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM362,500

RM213 psf

Median transaction price

Mahkota
© OpenStreetMap · CARTO

Mahkota, Kuantan, Pahang

Mahkota in Kuantan, Pahang recorded 15 subsale transactions between 2021 and 2026, with a median price of RM375K 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 RM375K, with most transactions falling within a stable range of RM350K to RM400K, and a typical market range of RM354K to RM396K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM217, with most transactions between RM197 and RM237. The usual range is RM200.77 to RM232.77, showing that most units are priced quite close to each other. A typical spread (IQR) of RM32.00 and an average deviation (MAD) of RM20 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.