Pakr Sungai Isap Perdana

Pahang, Kuantan, Kuala Kuantan

Property Transactions

7 subsales grouped by size

Median
RM 180,000
PSF
RM 146
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM 180,000
Lorong Sungai. Isap Perdana 32
1,109 sqft · RM 162 PSF
RM 160,000
Lorong Sungai Isap Perdana 27
1,098 sqft · RM 146 PSF
RM 150,000
Lorong Sungai Isap Perdana 27
1,119 sqft · RM 134 PSF
1,150 sqft
LC House
RM 180,000
Lorong Sungai Isap 35
1,163 sqft · RM 155 PSF
RM 185,000
Lorong Sungai Isap 36
1,152 sqft · RM 161 PSF
2,400 sqft
LC House
RM 90,000
Lorong Sungai. Isap Perdana 20
2,390 sqft · RM 38 PSF
2,950 sqft
LC House
RM 250,000
Lorong.sungai. Isap Perdana 20
2,960 sqft · RM 84 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 180,000

RM 146 psf

Median transaction price

Pakr Sungai Isap Perdana in Kuantan, Pahang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 180K and a median price per square foot (PSF) of RM 146.

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 RM 180K, with most transactions falling within a stable range of RM 136K to RM 224K, and a typical market range of RM 158K to RM 203K.

Most transactions involved low-cost house, with minimal variety in property types.

Price per square foot shows a median of RM 146, though individual units vary from RM 102 to RM 189 in the core range. The broader market spans RM 124.23 to RM 167.23, indicating diverse property characteristics. A wider spread (IQR: RM 43.00) and deviation (MAD: RM 44) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.