Kampung Selising

Kelantan, Pasir Puteh, Selising

Property Transactions

6 subsales grouped by size

Median
RM 360,000
PSF
RM 75
Price Size
Period
transactions middle 50% (P25–P75)
4,550 sqft
Bungalow
RM 370,000
Off Jalan Selising- Bukit Merbau
4,532 sqft · RM 82 PSF
RM 350,000
Off Jalan Selising- Bukit Merbau
4,553 sqft · RM 77 PSF
4,650 sqft
Bungalow
RM 320,000
Off Jalan Kb/ P.puteh
4,628 sqft · RM 69 PSF
5,100 sqft
Bungalow
RM 310,000
Off Jalan K.bharu-P.puteh
5,102 sqft · RM 61 PSF
5,350 sqft
Bungalow
RM 420,000
Off Jalan Selising- Bukit Merbau
5,371 sqft · RM 78 PSF
6,600 sqft
Bungalow
RM 490,000
Off Jalan K.bharu-P.puteh
6,620 sqft · RM 74 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 360,000

RM 75 psf

Median transaction price

Kampung Selising
© OpenStreetMap · CARTO

Kampung Selising, Pasir Puteh, Kelantan

Kampung Selising in Pasir Puteh, Kelantan recorded 6 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 360K and a median price per square foot (PSF) of RM 75.

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 360K, with most transactions falling within a stable range of RM 310K to RM 422K, and a typical market range of RM 311K to RM 409K.

Within the Bungalow category, detached dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM 75, with most transactions between RM 69 and RM 82. The usual range is RM 72.20 to RM 78.70, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 6.50 and an average deviation (MAD) of RM 7 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.