Sungai Isap Damai

10, Lrg Sungai Isap 13, Perumahan Sungai Isap Tiga, 25150 Kuantan, Pahang, Malaysia

Property Transactions

2 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM300,000
Lorong Sungai Isap Damai 33
5,490 sqft RM55 PSF
RM380,000
Lorong Sungai Isap Damai 28
5,490 sqft RM69 PSF
Legend Recent Highest Price Highest PSF

Selling in Sungai Isap Damai? Homes here sold for a median of RM340,000.

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

List your property free

Posts about Sungai Isap Damai

What’s happening in Sungai Isap Damai?

No posts about Sungai Isap Damai yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM340,000

RM62 psf

Median transaction price

Sungai Isap Damai
© OpenStreetMap · CARTO

10, Lrg Sungai Isap 13, Perumahan Sungai Isap Tiga, 25150 Kuantan, Pahang, Malaysia

Maps

Sungai Isap Damai in Kuantan, Pahang recorded 2 subsale transactions between 2021 and 2026, sized between 5,475 and 5,524 sqft, with a median price of RM340K and a median price per square foot (PSF) of RM62.

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 RM340K, with most transactions falling within a stable range of RM300K to RM380K, and a typical market range of RM325K to RM355K.

Most transactions involved detached, though some variety exists in the market.

The median PSF stands at RM62, with core pricing between RM55 and RM69. Market pricing typically extends from RM51.94 to RM71.94, reflecting moderate variation in unit pricing. With an IQR of RM20.00 and MAD of RM7, the PSF demonstrates reasonable consistency across the market.

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.