Putra (Sri Mahkota)

Kuala Kuantan, Sungai Pinang, 25200 Kuantan, Pahang, Malaysia

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
LC House
RM185,000
Lorong Seri Mahkota 35
990 sqft · RM187 PSF
1,050 sqft
LC House
RM150,000
Lorong Seri Mahkota 31
1,066 sqft · RM141 PSF
RM180,000
Lorong Seri Mahkota 33
1,066 sqft · RM169 PSF
RM190,000
Lot 35210, Off Jalan Ktn/Gambang
1,066 sqft · RM178 PSF
RM170,000
Lorong Sri Mahkota 32
1,066 sqft · RM160 PSF
1,300 sqft
Terrace
RM250,000
Lorong Seri Mahkota 23
1,302 sqft · RM192 PSF
RM160,000
Lorong Seri Mahkota 24
1,302 sqft · RM123 PSF
2,500 sqft
Terrace
RM250,000
Lorong Sri Mahkota 24
2,486 sqft · RM101 PSF
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Market Snapshot

Residential

RM182,500

RM164 psf

Median transaction price

Putra (Sri Mahkota)
© OpenStreetMap · CARTO

Kuala Kuantan, Sungai Pinang, 25200 Kuantan, Pahang, Malaysia

Maps

Putra (Sri Mahkota) in Kuantan, Pahang recorded 8 subsale transactions in 2025, with a median price of RM183K and a median price per square foot (PSF) of RM164.

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 RM183K, with most transactions falling within a stable range of RM150K to RM218K, and a typical market range of RM165K to RM200K.

Most transactions involved low-cost house, though some variety exists in the market.

The median PSF stands at RM164, with core pricing between RM134 and RM194. Market pricing typically extends from RM150.22 to RM178.22, reflecting moderate variation in unit pricing. The spread of RM28.00 (IQR) and deviation of RM30 (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. 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.