Kampung Peringat

Melor, Kelantan, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,300 sqft
Semi-D
RM299,000
Off Jalan Pasir Puteh
3,305 sqft · RM90 PSF
RM320,000
Off Jalan Pasir Puteh
3,305 sqft · RM97 PSF
5,400 sqft
Bungalow
RM420,000
Off Jalan Kb-Peringat Pl1484
5,382 sqft · RM78 PSF
Legend Recent Highest Price Highest PSF

Selling in Kampung Peringat? Homes here sold for a median of RM320,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Kampung Peringat

What’s happening in Kampung Peringat?

No posts about Kampung Peringat yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM320,000

RM90 psf

Median transaction price

Kampung Peringat
© OpenStreetMap · CARTO

Kampung Peringat, Melor, Kelantan, Malaysia

Maps

Kampung Peringat in Kota Bahru, Kelantan recorded 3 subsale transactions between 2021 and 2026, with a median price of RM320K and a median price per square foot (PSF) of RM90.

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 RM320K, with most transactions falling within a stable range of RM299K to RM373K, and a typical market range of RM299K to RM360K.

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

For price per square foot, the median is RM90, with most transactions between RM83 and RM98. The usual range is RM78.48 to RM102.48, showing that most units are priced quite close to each other. A typical spread (IQR) of RM24.00 and an average deviation (MAD) of RM8 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.