Pandan Damai

Pahang, Kuantan, Kuala Kuantan

Property Transactions

15 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM170,000
1,001 sqft
RM170 PSF
RM200,000
1,001 sqft
RM200 PSF
RM720,000
2,034 sqft
RM354 PSF
RM930,000
2,809 sqft
RM331 PSF
RM1,400,000
2,454 sqft
RM570 PSF
RM1,250,000
2,454 sqft
RM509 PSF
RM270,000
1,539 sqft
RM175 PSF
RM200,000
1,195 sqft
RM167 PSF
RM170,000
1,001 sqft
RM170 PSF
RM310,000
1,539 sqft
RM201 PSF
RM280,000
1,539 sqft
RM182 PSF
RM190,000
1,195 sqft
RM159 PSF
RM170,000
1,001 sqft
RM170 PSF
RM220,000
1,421 sqft
RM155 PSF
RM200,000
1,001 sqft
RM200 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM200,000

RM170 psf

Median transaction price

RM1,090,000

RM734 psf

Median transaction price

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Pandan Damai, Kuantan, Pahang

Pandan Damai in Kuantan, Pahang recorded 15 subsale transactions between 2021 and 2026, with a median price of RM220K and a median price per square foot (PSF) of RM182.

This area contains both residential and commercial properties. View 11 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM220K, with most transactions falling within a stable range of RM170K to RM270K, and a typical market range of RM170K to RM380K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM182, with most transactions between RM164 and RM200. The usual range is RM121.16 to RM242.66, showing that most units are priced quite close to each other. With an IQR of RM121.50 and MAD of RM18, the PSF demonstrates reasonable consistency across the market.

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.