Kampung Tujuh

Kelantan, Tumpat, Tujoh

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
4,550 sqft
Bungalow
RM348,000
Jalan Kelaboran
4,532 sqft · RM77 PSF
4,900 sqft
Bungalow
RM390,000
Off Jalan Kelaboran
4,876 sqft · RM80 PSF
5,000 sqft
Bungalow
RM420,000
Ke Tujoh, Jalan Kelaboran
5,005 sqft · RM84 PSF
5,150 sqft
Bungalow
RM360,000
Kampung Pak Kral
5,167 sqft · RM70 PSF
5,400 sqft
Bungalow
RM430,000
Jalan Kelaboran
5,382 sqft · RM80 PSF
RM300,000
Ke Tujoh, Jalan Kelaboran
5,414 sqft · RM55 PSF
6,200 sqft
Bungalow
RM450,000
Off Jalan Kelaboran
6,189 sqft · RM73 PSF
Legend Recent Highest Price Highest PSF

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

Market Snapshot

Residential

RM390,000

RM77 psf

Median transaction price

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Kampung Tujuh, Tumpat, Kelantan

Kampung Tujuh in Tumpat, Kelantan recorded 7 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM390K and a median price per square foot (PSF) of RM77.

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 RM390K, with most transactions falling within a stable range of RM341K to RM439K, and a typical market range of RM338K to RM442K.

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

The median PSF stands at RM77, with core pricing between RM68 and RM86. Market pricing typically extends from RM71.04 to RM82.54, reflecting moderate variation in unit pricing. With an IQR of RM11.50 and MAD of RM9, the PSF demonstrates reasonable consistency across the market.

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.