Taman Kurnia Jaya
16100 Pengkalan Chepa, Kelantan, Malaysia
16100 Pengkalan Chepa, Kelantan, Malaysia
Property Type
| LIST.MY · Taman Kurnia Jaya | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Off Jalan Kurnia Jaya
|
RM400,000
|
RM205
|
1,948 sqft
|
|
Semi-D |
| 2022 | |||||
|
Off Jalan Kurnia Jaya
|
RM368,000
|
RM189
|
1,948 sqft
|
|
Semi-D |
Selling in Taman Kurnia Jaya? Homes here sold for a median of RM384,000.
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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 Kemumin
Market Snapshot
ResidentialRM384,000
RM197 psfMedian transaction price
Taman Kurnia Jaya, 16100 Pengkalan Chepa, Kelantan, Malaysia
MapsTaman Kurnia Jaya in Kota Bahru, Kelantan recorded 2 subsale transactions between 2021 and 2026, sized between 1,925 and 1,974 sqft, with a median price of RM384K and a median price per square foot (PSF) of RM197.
This area contains both residential and commercial properties. View 23 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM384K, with most transactions falling within a stable range of RM368K to RM400K, and a typical market range of RM368K to RM400K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM197, with most transactions between RM189 and RM205. The usual range is RM154.10 to RM240.10, showing that most units are priced quite close to each other. With an IQR of RM86.00 and MAD of RM8, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.