| LIST.MY · Kampung Gua | |||||
|---|---|---|---|---|---|
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Road
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Price
|
PSF
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Size
|
Date
|
Type
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| 2026 | |||||
|
Kampung Gaung Pl 11927, Off Lebuhraya P.mas - Rantau Pa
|
RM400,000
|
RM97
|
4,133 sqft
|
|
Semi-D |
| 2025 | |||||
|
Lebuhraya P.mas - R.pjg
|
RM340,000
|
RM107
|
3,186 sqft
|
|
Semi-D |
|
Off Lebuhraya P.mas - Rantau Pa
|
RM360,000
|
RM105
|
3,434 sqft
|
|
Semi-D |
|
Lebuhraya P.mas - R.pjg
|
RM340,000
|
RM84
|
4,036 sqft
|
|
Bungalow |
| 2022 | |||||
|
Off Lr Rantau Panjang
|
RM495,000
|
RM94
|
5,285 sqft
|
|
Bungalow |
|
Off Lebuhraya P.mas - Rantau Pan
|
RM330,000
|
RM80
|
4,133 sqft
|
|
Semi-D |
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Gua
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Market Snapshot
ResidentialRM417,500
RM89 psfMedian transaction price
KAMPUNG GUA, Gua, 17000, Pasir Mas, Kelantan, Malaysia
Kampung Gua in Pasir Mas, Kelantan recorded 6 subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM97.
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 RM335K to RM365K, and a typical market range of RM330K to RM375K.
Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.
The median PSF stands at RM97, with core pricing between RM87 and RM108. Market pricing typically extends from RM88.75 to RM105.25, reflecting moderate variation in unit pricing. With an IQR of RM16.50 and MAD of RM11, 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.