Mahkota

Pahang, Kuantan, Kuala Kuantan

Property Transactions

7 subsales grouped by size · 2-Sty Terrace →

Median
RM 350,000
PSF
RM 217
Price Size
1,250 sqft
2-Sty Terrace
RM 390,000
Lorong Sekilau 48
1,249 sqft · RM 312 PSF
1,600 sqft
2-Sty Terrace
RM 345,000
Lorong Sekilau 48
1,615 sqft · RM 214 PSF
RM 350,000
Lorong Sekilau 44
1,615 sqft · RM 217 PSF
RM 390,000
Lorong Sekilau 45
1,615 sqft · RM 242 PSF
RM 350,000
Lorong Sekilau 45
1,615 sqft · RM 217 PSF
1,650 sqft
Terrace
RM 280,000
Lorong Sekilau 47
1,627 sqft · RM 172 PSF
1,950 sqft
Terrace
RM 390,000
Lorong Sekilau 47
1,948 sqft · RM 200 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 350,000

RM 217 psf

Median transaction price

Mahkota
© OpenStreetMap · CARTO

Mahkota, Kuantan, Pahang

Mahkota in Kuantan, Pahang recorded 7 subsale transactions in 2022, with a median price of RM 350K and a median price per square foot (PSF) of RM 217.

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 RM 350K, with most transactions falling within a stable range of RM 313K to RM 387K, and a typical market range of RM 329K to RM 371K.

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

The median PSF stands at RM 217, with core pricing between RM 176 and RM 257. Market pricing typically extends from RM 200.77 to RM 232.77, reflecting moderate variation in unit pricing. The spread of RM 32.00 (IQR) and deviation of RM 41 (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.