Taman Kurnia Jaya

16100 Pengkalan Chepa, Kelantan, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 275,000
PSF
RM 193
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
2-Sty Terrace
RM 380,000
Off Jalan Maktab
1,173 sqft · RM 324 PSF
RM 270,000
Off Jalan Maktab
1,399 sqft · RM 193 PSF
RM 275,000
Jalan Kurnia Jaya 35
1,399 sqft · RM 197 PSF
RM 240,000
Jalan Kurnia Jaya 11
1,399 sqft · RM 172 PSF
3,550 sqft
Semi-D
RM 450,000
Off Jalan Kurnia Jaya
3,573 sqft · RM 126 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 275,000

RM 193 psf

Median transaction price

Taman Kurnia Jaya
© OpenStreetMap · CARTO

Taman Kurnia Jaya, 16100 Pengkalan Chepa, Kelantan, Malaysia

Maps

Taman Kurnia Jaya in Kota Bahru, Kelantan recorded 5 subsale transactions in 2023, with a median price of RM 275K and a median price per square foot (PSF) of RM 193.

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 RM 275K, with most transactions falling within a stable range of RM 240K to RM 354K, and a typical market range of RM 240K to RM 335K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 193, though individual units vary from RM 127 to RM 259 in the core range. The broader market spans RM 149.95 to RM 235.95, indicating diverse property characteristics. A wider spread (IQR: RM 86.00) and deviation (MAD: RM 66) indicate significant PSF variations, likely due to diverse property types or conditions.

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.