Pandan Permai

Kampung Datuk Keramat, Kuala Kuantan, Kuantan, Pahang, Malaysia

Property Transactions

14 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM250,000
1,292 sqft
RM194 PSF · Terrace
RM250,000
1,292 sqft
RM194 PSF · Terrace
RM370,000
1,259 sqft
RM294 PSF · 2-Sty Terrace
RM350,000
1,259 sqft
RM278 PSF · 2-Sty Terrace
RM145,000
624 sqft
RM232 PSF
RM180,000
624 sqft
RM288 PSF
RM170,000
624 sqft
RM272 PSF
RM209,000
1,292 sqft
RM162 PSF
RM2,800,000
3,714 sqft
RM754 PSF
RM580,000
2,325 sqft
RM249 PSF
RM160,000
700 sqft
RM229 PSF
RM550,000
2,325 sqft
RM237 PSF
RM180,000
743 sqft
RM242 PSF
RM300,000
1,259 sqft
RM238 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM209,000

RM229 psf

Median transaction price

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PANDAN PERMAI, Kampung Datuk Keramat, Kuala Kuantan, Kuantan, Pahang, Malaysia

Pandan Permai in Kuantan, Pahang recorded 14 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM242.

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 RM250K, with most transactions falling within a stable range of RM165K to RM335K, and a typical market range of RM158K to RM343K.

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

The median PSF stands at RM242, with core pricing between RM206 and RM279. Market pricing typically extends from RM201.99 to RM282.74, reflecting moderate variation in unit pricing. The spread of RM80.75 (IQR) and deviation of RM37 (MAD) suggest moderate price variations reflecting different property features.

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.