Medan Mahsyur

Pahang, Kuantan, Kuala Kuantan

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM250,000
Lorong Im 2/92
1,399 sqft · RM179 PSF
RM250,000
Jalan Im 2/93
1,399 sqft · RM179 PSF
RM250,000
Lorong Im 2/94
1,399 sqft · RM179 PSF
RM300,000
Jalan Im 2/92
1,399 sqft · RM214 PSF
RM250,000
Jalan Im 2/94
1,399 sqft · RM179 PSF
RM205,000
Lorong Im 2/93
1,399 sqft · RM147 PSF
1,750 sqft
Terrace
RM260,000
Lorong Im 2/91
1,755 sqft · RM148 PSF
3,350 sqft
Terrace
RM370,000
Lorong Im2/88
3,337 sqft · RM111 PSF
4,700 sqft
Terrace
RM380,000
Jalan Im 2/94
4,682 sqft · RM81 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM250,000

RM179 psf

Median transaction price

Medan Mahsyur in Kuantan, Pahang recorded 9 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM179.

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 RM250K, with most transactions falling within a stable range of RM205K to RM306K, and a typical market range of RM205K to RM311K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM179, though individual units vary from RM140 to RM217 in the core range. The broader market spans RM133.41 to RM223.91, indicating diverse property characteristics. The spread of RM90.50 (IQR) and deviation of RM38 (MAD) suggest moderate price variations reflecting different property features.

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.