Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Pandan Damai 2/3
|
RM580,000
|
RM249
|
2,325 sqft
|
|
|
|
Lorong Pandan Damai 2/1
|
RM550,000
|
RM237
|
2,325 sqft
|
|
|
Lorong Pandan Damai 2/2
|
RM2,800,000
|
RM754
|
3,714 sqft
|
|
Selling in Pandan Permai? Homes here sold for a median of RM580,000.
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Pandan Permai
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kuala Kuantan
Market Snapshot
ResidentialRM209,000
RM229 psfMedian transaction price
PANDAN PERMAI, Kampung Datuk Keramat, Kuala Kuantan, Kuantan, Pahang, Malaysia
Pandan Permai in Kuantan, Pahang recorded 3 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM580K and a median price per square foot (PSF) of RM249.
This area contains both residential and commercial properties. View 11 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM580K, with most transactions falling within a stable range of RM550K to RM1.63 million, and a typical market range of RM550K to RM673K.
Within the Double Storey Shop category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM249, though individual units vary from RM9 to RM490 in the core range. The broader market spans RM209.09 to RM289.84, indicating diverse property characteristics. A wider spread (IQR: RM80.75) and deviation (MAD: RM241) 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.