Desa Rimbun Lpt

Kelantan, Kota Bahru, Pulau Belanga

Property Transactions

8 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM299,000
Jalan Kedai Lalat
1,399 sqft · RM214 PSF
RM299,000
Jalan Kedai Lalat
1,399 sqft · RM214 PSF
1,850 sqft
Terrace
RM319,000
Jalan Kedai Lalat
1,862 sqft · RM171 PSF
2,350 sqft
Semi-D
RM270,000
Jalan Kedai Lalat
2,347 sqft · RM115 PSF
2,900 sqft
Semi-D
RM325,000
Jalan Kedai Lalat (Pec.lot 606)
2,917 sqft · RM111 PSF
3,300 sqft
Semi-D
RM350,000
Jalan Kedai Lalat (Pec.lot 1602)
3,305 sqft · RM106 PSF
3,350 sqft
Semi-D
RM330,000
Jalan Kedai Lalat
3,369 sqft · RM98 PSF
4,600 sqft
Semi-D
RM340,000
Jalan Kedai Lalat
4,596 sqft · RM74 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM299,000

RM214 psf

Median transaction price

Desa Rimbun Lpt in Kota Bahru, Kelantan recorded 8 subsale transactions between 2021 and 2026, with a median price of RM322K and a median price per square foot (PSF) of RM115.

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 RM322K, with most transactions falling within a stable range of RM302K to RM343K, and a typical market range of RM305K to RM339K.

Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.

Price per square foot shows a median of RM115, though individual units vary from RM88 to RM142 in the core range. The broader market spans RM76.19 to RM153.94, indicating diverse property characteristics. The spread of RM77.75 (IQR) and deviation of RM27 (MAD) suggest moderate price variations reflecting different property features.

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.