Desa Samudra

Pahang, Kuantan, Kuala Kuantan

Property Transactions

10 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM240,000
Lorong Im 8/4
1,539 sqft RM156 PSF
RM300,000
Lorong Im 8/4
1,539 sqft RM195 PSF
RM277,000
Lorong Im 8/4
1,539 sqft RM180 PSF
RM268,000
Lorong Im 8/4
1,539 sqft RM174 PSF
RM250,000
Lorong Im 8/5
1,539 sqft RM162 PSF
RM240,000
Lorong Im 8/5
1,539 sqft RM156 PSF
RM270,000
Lorong Im 8/2
1,539 sqft RM175 PSF
RM250,000
Lorong Im 8/7
1,539 sqft RM162 PSF
RM260,000
Lorong Im 8/36
1,539 sqft RM169 PSF
RM290,000
Lorong Im 8/5
1,539 sqft RM188 PSF
Legend Recent Highest Price Highest PSF

Selling in Desa Samudra? Homes here sold for a median of RM264,000.

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Market Snapshot

Residential

RM264,000

RM172 psf

Median transaction price

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Desa Samudra, Kuantan, Pahang

Desa Samudra in Kuantan, Pahang recorded 10 subsale transactions between 2021 and 2026, sized between 1,525 and 1,574 sqft, with a median price of RM264K and a median price per square foot (PSF) of RM172.

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 RM264K, with most transactions falling within a stable range of RM245K to RM283K, and a typical market range of RM240K to RM300K.

Most transactions involved condominium/apartment, with moderate diversity in property types available.

For price per square foot, the median is RM172, with most transactions between RM159 and RM184. The usual range is RM149.01 to RM194.01, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.00 and an average deviation (MAD) of RM13 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.