Bandar Putra

Kampung Anak Air, 26060 Kuantan, Pahang, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
2-Sty Terrace
RM220,000
Lorong Bandar Putra 4/7
850 sqft · RM259 PSF
RM200,000
Lorong Bandar Putera 4/6
850 sqft · RM235 PSF
RM200,000
Lorong Bandar Putra 4/9
850 sqft · RM235 PSF
RM210,000
Lorong Bandar Putra
850 sqft · RM247 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Putra? Homes here sold for a median of RM205,000.

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Market Snapshot

RM205,000

RM241 psf

Median transaction price

RM296,000

RM166 psf

Median transaction price

Average

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Bandar Putra
© OpenStreetMap · CARTO

Bandar Putra, Kampung Anak Air, 26060 Kuantan, Pahang, Malaysia

Maps

Bandar Putra in Kuantan, Pahang recorded 4 subsale transactions between 2021 and 2026, sized between 825 and 874 sqft, with a median price of RM205K and a median price per square foot (PSF) of RM241.

This area contains both residential and commercial properties. View 55 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM205K, with most transactions falling within a stable range of RM200K to RM213K, and a typical market range of RM200K to RM220K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM241, with most transactions between RM231 and RM251. The usual range is RM200.08 to RM282.08, showing that most units are priced quite close to each other. With an IQR of RM82.00 and MAD of RM10, 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.