| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Seri Damai Perdana 16
|
RM 200,000
|
RM 200
|
1,001 sqft
|
|
|
|
Lorong Seri Damai Perdana
|
RM 180,000
|
RM 180
|
1,001 sqft
|
|
|
Lorong Seri Damai Perdana 16
|
RM 220,000
|
RM 184
|
1,195 sqft
|
|
|
Lorong Seri Damai Perdana 20
|
RM 230,000
|
RM 174
|
1,324 sqft
|
|
|
|
Lorong Seri Damai Perdana 17
|
RM 220,000
|
RM 169
|
1,302 sqft
|
|
|
Lorong Seri Damai Perdana 13
|
RM 240,000
|
RM 168
|
1,432 sqft
|
|
|
|
Lorong Seri Damai Perdana 19
|
RM 270,000
|
RM 189
|
1,432 sqft
|
|
|
Lorong Seri Damai Perdana 13
|
RM 295,000
|
RM 194
|
1,518 sqft
|
|
|
|
Lorong Seri Damai Perdana 13
|
RM 289,000
|
RM 190
|
1,518 sqft
|
|
|
Lorong Seri Damai Perdana 17
|
RM 330,000
|
RM 155
|
2,131 sqft
|
|
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Market Snapshot
ResidentialRM 235,000
RM 182 psfMedian transaction price
Impian Perdana, Kuantan, Pahang
Impian Perdana in Kuantan, Pahang recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 235K and a median price per square foot (PSF) of RM 182.
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 235K, with most transactions falling within a stable range of RM 190K to RM 280K, and a typical market range of RM 208K to RM 262K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM 182, with most transactions between RM 169 and RM 195. The usual range is RM 173.66 to RM 190.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 16.50 and an average deviation (MAD) of RM 13 indicate a highly stable PSF trend across properties.
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.