Muhibbah I & Ii

Pahang, Kuantan, Kuala Kuantan

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
2-Sty Terrace
RM243,000
Lorong Bukit Setongkol Perdana 50
732 sqft · RM332 PSF
1,200 sqft
2-Sty Terrace
RM350,000
Jalan Bukit Setongkol 3
1,216 sqft · RM288 PSF
RM200,000
Jalan Bukit Setongkol 3
1,216 sqft · RM164 PSF
RM560,000
Lorong Bkt Setongkol 3
1,216 sqft · RM460 PSF
RM230,000
Jalan Bukit Setongkol 3
1,216 sqft · RM189 PSF
Legend Recent Highest Price Highest PSF

Selling in Muhibbah I & Ii? Homes here sold for a median of RM243,000.

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Market Snapshot

Residential

RM243,000

RM288 psf

Median transaction price

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Muhibbah I & Ii, Kuantan, Pahang

Muhibbah I & Ii in Kuantan, Pahang recorded 5 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM243K and a median price per square foot (PSF) of RM288.

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 RM243K, with most transactions falling within a stable range of RM200K to RM375K, and a typical market range of RM200K to RM318K.

Within the Double Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM288, though individual units vary from RM181 to RM394 in the core range. The broader market spans RM256.75 to RM318.75, indicating diverse property characteristics. A wider spread (IQR: RM62.00) and deviation (MAD: RM106) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.