Kampung Limbat

Lot 73, Kampung Guntong, 16450 Kota Bharu, Kelantan, Malaysia

Property Transactions

4 subsales grouped by size · Bungalow →

Median
RM 575,000
PSF
RM 90
Price Size
Period
transactions middle 50% (P25–P75)
5,400 sqft
Bungalow
RM 290,000
Kampung Dalam Peropoh, Off Jalan Kampung Keling - Mulong
5,382 sqft · RM 54 PSF
5,500 sqft
Bungalow
RM 600,000
Kampung Belukar, Off Jalan Kampung Keling
5,522 sqft · RM 109 PSF
5,750 sqft
Bungalow
RM 550,000
Kampung Guntong, Jalan Kb - P.puteh
5,759 sqft · RM 96 PSF
8,350 sqft
Bungalow
RM 700,000
Kampung Guntong, Off Jalan Kota Bharu - Pasir Puteg
8,331 sqft · RM 84 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 575,000

RM 90 psf

Median transaction price

Kampung Limbat
© OpenStreetMap · CARTO

Lot 73, Kampung Guntong, 16450 Kota Bharu, Kelantan, Malaysia

Maps

Kampung Limbat in Kota Bahru, Kelantan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 575K and a median price per square foot (PSF) of RM 90.

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 RM 575K, with most transactions falling within a stable range of RM 424K to RM 700K, and a typical market range of RM 509K to RM 641K.

Most transactions involved detached, though some variety exists in the market.

Price per square foot shows a median of RM 90, though individual units vary from RM 70 to RM 110 in the core range. The broader market spans RM 75.38 to RM 104.63, indicating diverse property characteristics. The spread of RM 29.25 (IQR) and deviation of RM 20 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.