Kampung Kelaboran

Ni.107, kampung Kelaboran Masjid, Stor Hardware, Jalan, 16200 Tumpat, Kelantan, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM200,000
Off Jalan Hospital Kelaboran
1,399 sqft · RM143 PSF
5,200 sqft
Bungalow
RM350,000
Jalan Tumpat-Kelaboran
5,177 sqft · RM68 PSF
5,650 sqft
Bungalow
RM400,000
Off Jalan Kelaboran
5,651 sqft · RM71 PSF
5,800 sqft
Bungalow
RM350,000
Jalan Tumpat-Kelaboran
5,802 sqft · RM60 PSF
Legend Recent Highest Price Highest PSF

Selling in Kampung Kelaboran? Homes here sold for a median of RM350,000.

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Nearby areas in Kelaboran

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Market Snapshot

Residential

RM350,000

RM69 psf

Median transaction price

Kampung Kelaboran
© OpenStreetMap · CARTO

Ni.107, kampung Kelaboran Masjid, Stor Hardware, Jalan, 16200 Tumpat, Kelantan, Malaysia

Maps

Kampung Kelaboran in Tumpat, Kelantan recorded 4 subsale transactions in 2023, with a median price of RM350K and a median price per square foot (PSF) of RM69.

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 RM350K, with most transactions falling within a stable range of RM275K to RM400K, and a typical market range of RM309K to RM391K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM69, though individual units vary from RM36 to RM103 in the core range. The broader market spans RM22.81 to RM115.57, indicating diverse property characteristics. A wider spread (IQR: RM92.75) and deviation (MAD: RM33) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.