Putra (Sri Mahkota)

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

Property Transactions

2 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM185,000
Lorong Seri Mahkota 27
1,152 sqft RM161 PSF
RM125,000
Lorong Sri Mahkota 27
1,152 sqft RM109 PSF
Legend Recent Highest Price Highest PSF

Selling in Putra (Sri Mahkota)? Homes here sold for a median of RM155,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Putra (Sri Mahkota)

What’s happening in Putra (Sri Mahkota)?

No posts about Putra (Sri Mahkota) yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM155,000

RM135 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 2 subsale transactions between 2021 and 2026, sized between 1,125 and 1,174 sqft, with a median price of RM155K and a median price per square foot (PSF) of RM135.

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 RM155K, with most transactions falling within a stable range of RM125K to RM185K, and a typical market range of RM138K to RM173K.

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

The median PSF stands at RM135, with core pricing between RM109 and RM161. Market pricing typically extends from RM120.58 to RM148.58, reflecting moderate variation in unit pricing. The spread of RM28.00 (IQR) and deviation of RM26 (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.