Kampung Biah

Kelantan, Kota Bahru, Lubok Jambu

Property Transactions

3 subsales grouped by size · Semi-D →

Median
RM320,000
PSF
RM92
Period
transactions middle 50% (P25–P75)
3,150 sqft
Semi-D
RM290,000
Off Jalan Kuala Krai/Kota Bharu
3,143 sqft · RM92 PSF
4,000 sqft
Bungalow
RM390,000
Off Jalan Kuala Krai/Kota Bharu
4,004 sqft · RM97 PSF
4,800 sqft
Semi-D
RM320,000
Off Jalan Kuala Krai/Kota Bharu
4,822 sqft · RM66 PSF
Legend Recent Highest Price Highest PSF

Selling in Kampung Biah? Homes here sold for a median of RM320,000.

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Market Snapshot

Residential

RM320,000

RM92 psf

Median transaction price

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Kampung Biah, Kota Bahru, Kelantan

Kampung Biah in Kota Bahru, Kelantan recorded 3 subsale transactions between 2021 and 2026, with a median price of RM320K and a median price per square foot (PSF) of RM92.

Nothing is listed in Kampung Biah right now. Browse properties for sale in Lubok Jambu and properties for rent in Lubok Jambu nearby, then use the 3 sales recorded here to judge whether an asking price is fair.

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 RM320K, with most transactions falling within a stable range of RM290K to RM350K, and a typical market range of RM295K to RM345K.

Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.

For price per square foot, the median is RM92, with most transactions between RM87 and RM97. The usual range is RM84.52 to RM100.02, showing that most units are priced quite close to each other. A typical spread (IQR) of RM15.50 and an average deviation (MAD) of RM5 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.