Kampung Geting

Kelantan, Tumpat, Geting

Property Transactions

6 subsales grouped by size

Period
transactions middle 50% (P25–P75)
950 sqft
LC House
RM 30,000
Kampung Geting, Off Jalan Geting/Peng Kubor
958 sqft · RM 31 PSF
2,850 sqft
Semi-D
RM 275,000
Off Jalan Pkln Kubor P/L 933
2,863 sqft · RM 96 PSF
2,950 sqft
Semi-D
RM 280,000
Off Jalan Pkln Kubor P/L 933
2,949 sqft · RM 95 PSF
3,250 sqft
Semi-D
RM 299,000
Off Jalan Pkln Kubor P/L 933
3,272 sqft · RM 91 PSF
4,600 sqft
Bungalow
RM 450,000
Off Jalan Pkln Kubor
4,607 sqft · RM 98 PSF
5,800 sqft
Bungalow
RM 410,000
Off Jalan Pkln Kubor P/L 933
5,802 sqft · RM 71 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 410,000

RM 71 psf

Median transaction price

Kampung Geting
© OpenStreetMap · CARTO

Kampung Geting, Tumpat, Kelantan

Kampung Geting in Tumpat, Kelantan recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 290K and a median price per square foot (PSF) of RM 95.

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 290K, with most transactions falling within a stable range of RM 222K to RM 357K, and a typical market range of RM 237K to RM 343K.

Most transactions involved 2 - 2 1/2 storey terraced2 - 2, with moderate diversity in property types available.

For price per square foot, the median is RM 95, with most transactions between RM 91 and RM 99. The usual range is RM 85.07 to RM 104.82, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 19.75 and an average deviation (MAD) of RM 4 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.