Kampung Melor

Kampung Kolam, 16400 Melor, Kelantan, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,200 sqft
Semi-D
RM330,000
Off Jalan Tegayong
3,208 sqft · RM103 PSF
5,150 sqft
Bungalow
RM450,000
Kampung Melor, Off Jalan K.bharu-Melor
5,167 sqft · RM87 PSF
5,750 sqft
Bungalow
RM300,000
Pl 2973, Jalan Jubang Tin-Pauh Lima (D128)
5,726 sqft · RM52 PSF
7,200 sqft
Bungalow
RM498,000
Off Jalan. Padang Kala
7,201 sqft · RM69 PSF
Legend Recent Highest Price Highest PSF

Selling in Kampung Melor? Homes here sold for a median of RM390,000.

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Melor

Market Snapshot

Residential

RM390,000

RM78 psf

Median transaction price

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Kampung Kolam, 16400 Melor, Kelantan, Malaysia

Maps

Kampung Melor in Kota Bahru, Kelantan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM390K and a median price per square foot (PSF) of RM78.

This area contains both residential and commercial properties. View 14 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM390K, with most transactions falling within a stable range of RM308K to RM472K, and a typical market range of RM353K to RM428K.

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

Price per square foot shows a median of RM78, though individual units vary from RM59 to RM97 in the core range. The broader market spans RM66.63 to RM89.38, indicating diverse property characteristics. The spread of RM22.75 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.