Kampung Kebakat

Lot 4088, Kampung Kebakat, 16250 Wakaf Bharu, Kelantan, Malaysia

Property Transactions

14 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM388,000
5,597 sqft
RM69 PSF
RM450,000
6,878 sqft
RM65 PSF
RM368,000
5,597 sqft
RM66 PSF
RM480,000
5,027 sqft
RM95 PSF
RM386,000
3,993 sqft
RM97 PSF
RM290,000
3,305 sqft
RM88 PSF
RM370,000
3,165 sqft
RM117 PSF
RM450,000
4,284 sqft
RM105 PSF · Semi-D
RM388,000
5,608 sqft
RM69 PSF · Bungalow
RM350,000
1,604 sqft
RM218 PSF
RM380,000
1,604 sqft
RM237 PSF
RM350,000
2,573 sqft
RM136 PSF
RM500,000
4,187 sqft
RM119 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM387,000

RM82 psf

Median transaction price

Kampung Kebakat
© OpenStreetMap · CARTO

Lot 4088, Kampung Kebakat, 16250 Wakaf Bharu, Kelantan, Malaysia

Maps

Kampung Kebakat in Tumpat, Kelantan recorded 14 subsale transactions between 2021 and 2026, with a median price of RM387K and a median price per square foot (PSF) of RM105.

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 RM387K, with most transactions falling within a stable range of RM350K to RM424K, and a typical market range of RM346K to RM428K.

Most transactions involved detached, with moderate diversity in property types available.

Price per square foot shows a median of RM105, though individual units vary from RM77 to RM134 in the core range. The broader market spans RM79.79 to RM130.29, indicating diverse property characteristics. A wider spread (IQR: RM50.50) and deviation (MAD: RM29) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.