Desa Sbj Putra, Pasir Pekan

Jalan SBJ Putra, 16210 Wakaf Bharu, Kelantan, Malaysia

Property Transactions

3 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM200,000
Off Jalan P.pekan- Pasir Mas
1,098 sqft RM182 PSF
RM245,000
Off Jalan Kitang- Pasir Mas
1,098 sqft RM223 PSF
RM220,000
Off Jalan Kitang- Pasir Mas
1,098 sqft RM200 PSF
Legend Recent Highest Price Highest PSF

Selling in Desa Sbj Putra, Pasir Pekan? Homes here sold for a median of RM220,000.

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pasir Pekan

Market Snapshot

Residential

RM220,000

RM200 psf

Median transaction price

Desa Sbj Putra, Pasir Pekan
© OpenStreetMap · CARTO

Jalan SBJ Putra, 16210 Wakaf Bharu, Kelantan, Malaysia

Maps

Desa Sbj Putra, Pasir Pekan in Tumpat, Kelantan recorded 3 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM220K and a median price per square foot (PSF) of RM200.

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 RM220K, with most transactions falling within a stable range of RM202K to RM238K, and a typical market range of RM200K to RM245K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM200, with most transactions between RM184 and RM217. The usual range is RM177.38 to RM223.38, showing that most units are priced quite close to each other. A typical spread (IQR) of RM46.00 and an average deviation (MAD) of RM17 indicate a highly stable PSF trend across properties.

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.