Kampung Binjai (Mk. Pendek)

Kelantan, Kota Bahru, Binjai

Property Transactions

4 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM 220,000
Off Jalan Kedai Lalat
1,195 sqft · RM 184 PSF
4,850 sqft
Semi-D
RM 500,000
Kampung Binjai
4,855 sqft · RM 103 PSF
5,050 sqft
Bungalow
RM 230,000
Kampung Binjai, Off Jalan Binjai- Bachok
5,048 sqft · RM 46 PSF
5,200 sqft
Bungalow
RM 470,000
Off Jalan Binjai - Bachok
5,177 sqft · RM 91 PSF
Legend Recent Highest Price Highest PSF

Posts about Kampung Binjai (Mk. Pendek)

What’s happening in Kampung Binjai (Mk. Pendek)?

No posts about Kampung Binjai (Mk. Pendek) yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 350,000

RM 97 psf

Median transaction price

Kampung Binjai (Mk. Pendek) in Kota Bahru, Kelantan recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 350K and a median price per square foot (PSF) of RM 103.

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 350K, with most transactions falling within a stable range of RM 225K to RM 475K, and a typical market range of RM 225K to RM 475K.

Most transactions involved detached, with high diversity across multiple property types.

Price per square foot shows a median of RM 103, though individual units vary from RM 75 to RM 132 in the core range. The broader market spans RM 81.25 to RM 124.75, indicating diverse property characteristics. A wider spread (IQR: RM 43.50) and deviation (MAD: RM 29) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.