Kampung Seterpa
PT 1049, kampung seterpa, 16150 Kota Bharu, Kelantan, Malaysia
PT 1049, kampung seterpa, 16150 Kota Bharu, Kelantan, Malaysia
| LIST.MY · Kampung Seterpa | |||||
|---|---|---|---|---|---|
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Road
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Price
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PSF
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Size
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Date
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Type
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| 2026 | |||||
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Kampung Kbg Cherang, Off Jalan Bukit Marak
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RM270,000
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RM86
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3,154 sqft
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Semi-D |
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Kampung Seterpa, Off Jalan Binjai - Bukit Marak
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RM490,000
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RM87
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5,651 sqft
|
|
Bungalow |
Selling in Kampung Seterpa? Homes here sold for a median of RM380,000.
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Nearby areas in Seterpa
Kampung Seterpa
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Kampung Renik, Seterpa
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Kampung Bechah Tembesu, Seterpa
Taman Sri Wana, Seterpa
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 Seterpa
Market Snapshot
ResidentialRM380,000
RM87 psfMedian transaction price
PT 1049, kampung seterpa, 16150 Kota Bharu, Kelantan, Malaysia
MapsKampung Seterpa in Kota Bahru, Kelantan recorded 2 subsale transactions in 2026, with a median price of RM380K and a median price per square foot (PSF) of RM87.
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 RM380K, with most transactions falling within a stable range of RM270K to RM490K, and a typical market range of RM324K to RM436K.
Most transactions involved detached, though some variety exists in the market.
For price per square foot, the median is RM87, with most transactions between RM86 and RM87. The usual range is RM77.63 to RM95.38, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.75 and an average deviation (MAD) of RM1 indicate a highly stable PSF trend across properties.
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.