Kampung Kutang

Pasir Pekan, Kutang, 16250, Tumpat, Kelantan, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 267,500
PSF
RM 138
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM 265,000
Off Jalan Pasir Pekan-Pasir Mas
1,410 sqft · RM 188 PSF
RM 220,000
Off Jalan Dusun Langgar
1,399 sqft · RM 157 PSF
2,250 sqft
Terrace
RM 270,000
Off Jalan Pasir Pekan-Pasir Mas Pl 4093
2,271 sqft · RM 119 PSF
3,450 sqft
Terrace
RM 295,000
Off Jalan Pasir Pekan-Pasir Mas Pl 4093
3,466 sqft · RM 85 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 267,500

RM 138 psf

Median transaction price

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KAMPUNG KUTANG, Pasir Pekan, Kutang, 16250, Tumpat, Kelantan, Malaysia

Kampung Kutang in Tumpat, Kelantan recorded 4 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 268K and a median price per square foot (PSF) of RM 138.

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 268K, with most transactions falling within a stable range of RM 240K to RM 295K, and a typical market range of RM 223K to RM 295K.

Within the Single Storey Terraced category, detached dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 138, though individual units vary from RM 99 to RM 177 in the core range. The broader market spans RM 108.11 to RM 168.11, indicating diverse property characteristics. A wider spread (IQR: RM 60.00) and deviation (MAD: RM 39) 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.