Kampung Semut Api

Badang, 15350, Kota Bahru, Kelantan, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
4,200 sqft
Bungalow
RM480,000
Jalan Pantai Cahaya Bulan
4,187 sqft · RM115 PSF
4,650 sqft
Bungalow
RM450,000
Off Jalan Pantai Cahaya Bulan
4,672 sqft · RM96 PSF
5,150 sqft
Bungalow
RM445,000
Off Jalan Jaya Setia Pl 437
5,134 sqft · RM87 PSF
5,950 sqft
Bungalow
RM470,000
Off Jalan Jaya Setia
5,963 sqft · RM79 PSF
6,500 sqft
Bungalow
RM450,000
Off Jalan Jaya Setia
6,480 sqft · RM69 PSF
6,600 sqft
Bungalow
RM365,000
Jalan Pantai Cahaya Bulan
6,577 sqft · RM55 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM450,000

RM83 psf

Median transaction price

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KAMPUNG SEMUT API, Badang, 15350, Kota Bahru, Kelantan, Malaysia

Kampung Semut Api in Kota Bahru, Kelantan recorded 6 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM450K and a median price per square foot (PSF) of RM83.

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 RM450K, with most transactions falling within a stable range of RM413K to RM480K, and a typical market range of RM423K to RM478K.

Within the Bungalow category, detached dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM83, though individual units vary from RM64 to RM102 in the core range. The broader market spans RM72.49 to RM92.99, indicating diverse property characteristics. The spread of RM20.50 (IQR) and deviation of RM19 (MAD) suggest moderate price variations reflecting different property features.

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.