| Road | Price | PSF | Size | Date | Type |
|---|
|
Off Jalan Kampung Chengal
|
RM320,000
|
RM128
|
2,497 sqft
|
|
|
Off Jalan Kampung Chengal
|
RM310,000
|
RM114
|
2,723 sqft
|
|
|
|
Off Jalan Kampung Chengal
|
RM300,000
|
RM111
|
2,691 sqft
|
|
|
Off Jalan Kampungchengal
|
RM320,000
|
RM117
|
2,734 sqft
|
|
|
Off Jalan Kampungchengal Pl 1030
|
RM330,000
|
RM111
|
2,960 sqft
|
|
|
Off Jalan Kampungchengal Pl 1030
|
RM365,000
|
RM115
|
3,186 sqft
|
|
|
Off Jalan Kota Bharu - Kuala Krai Pl2692
|
RM468,000
|
RM85
|
5,522 sqft
|
|
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Kampung But
Kampung Chengal (Mk. Peringat)
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in But
Market Snapshot
ResidentialRM468,000
RM85 psfMedian transaction price
KAMPUNG BUT, But, Kota Bahru, Kelantan, Malaysia
Kampung But in Kota Bahru, Kelantan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM320K and a median price per square foot (PSF) of RM114.
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 RM310K to RM330K, and a typical market range of RM304K to RM336K.
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 RM114, with most transactions between RM111 and RM117. The usual range is RM111.33 to RM116.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM5.00 and an average deviation (MAD) of RM3 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.