P/L143461 Seri Mahkota Damai Fasa 6

Pahang, Kuantan, Kuala Kuantan

Property Transactions

15 subsales grouped by size

Median
RM 236,000
PSF
RM 149
1,600 sqft
Terrace
RM 236,000
Lorong Seri Mahkota Damai 11
1,582 sqft · RM 149 PSF
1,650 sqft
Terrace
RM 236,000
Lorong Seri Mahkota Damai
1,668 sqft · RM 141 PSF
RM 236,000
Lorong Seri Mahkota Damai 11
1,636 sqft · RM 144 PSF
RM 236,000
Lorong Seri Mahkota Damai
1,647 sqft · RM 143 PSF
RM 236,000
Lorong Seri Mahkota Damai
1,668 sqft · RM 141 PSF
RM 236,000
Lorong Seri Mahkota Damai 11
1,636 sqft · RM 144 PSF
RM 236,000
Lorong Seri Mahkota Damai
1,668 sqft · RM 141 PSF
+4 more
1,700 sqft
Terrace
RM 236,000
Lorong Seri Mahkota Damai 11
1,679 sqft · RM 141 PSF
RM 236,000
Lorong Seri Mahkota Damai 11
1,679 sqft · RM 141 PSF
2,950 sqft
Terrace
RM 348,000
Lorong Seri Mahkota Damai11
2,960 sqft · RM 118 PSF
3,500 sqft
Terrace
RM 370,000
Lorong Seri Mahkota Damai
3,509 sqft · RM 105 PSF
Legend Recent Highest Price Highest PSF

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P/L143461 Seri Mahkota Damai Fasa 6 in Kuantan, Pahang recorded 15 subsale transactions between 2021 and 2026, with a median price of RM 236K and a median price per square foot (PSF) of RM 149.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM 149, with most transactions between RM 148 and RM 150. The usual range is RM 147.65 to RM 150.65, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 3.00 and an average deviation (MAD) of RM 1 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.