Kampung Tok Ku

Kampung Kedai Lalat, 16150 Kota Bharu, Kelantan, Malaysia

Property Transactions

5 subsales grouped by size · Bungalow →

Median
RM 280,000
PSF
RM 164
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM 280,000
Jalan Kedai Lalat/Binjai
1,399 sqft · RM 200 PSF
RM 230,000
Jalan Kedai Lalat/Binjai
1,399 sqft · RM 164 PSF
RM 280,000
Jalan Kedai Lalat/Binjai
1,399 sqft · RM 200 PSF
3,850 sqft
Bungalow
RM 270,000
Off Jala N Kedai Lalat
3,843 sqft · RM 70 PSF
5,450 sqft
Bungalow
RM 479,000
Off Jalan Kota Jembal - Tawang
5,468 sqft · RM 88 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 280,000

RM 164 psf

Median transaction price

Kampung Tok Ku
© OpenStreetMap · CARTO

Kampung Kedai Lalat, 16150 Kota Bharu, Kelantan, Malaysia

Maps

Kampung Tok Ku in Kota Bahru, Kelantan recorded 5 subsale transactions in 2024, with a median price of RM 280K and a median price per square foot (PSF) of RM 164.

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 RM 280K, with most transactions falling within a stable range of RM 230K to RM 368K, and a typical market range of RM 230K to RM 375K.

Most transactions involved detached, with moderate diversity in property types available.

Price per square foot shows a median of RM 164, though individual units vary from RM 109 to RM 220 in the core range. The broader market spans RM 150.37 to RM 178.37, indicating diverse property characteristics. A wider spread (IQR: RM 28.00) and deviation (MAD: RM 55) 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.