Taman Desa Arif

Kelantan, Machang, Labok

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM85,000
Taman Desa Arif
1,098 sqft · RM77 PSF
RM110,000
Taman Desa Arif - (54)
1,098 sqft · RM100 PSF
RM210,000
Taman Desa Arif
1,098 sqft · RM191 PSF
RM200,000
Jalan Machang-Kota Bahru
1,098 sqft · RM182 PSF
1,200 sqft
LC House
RM145,000
Taman Desa Arif - (54)
1,195 sqft · RM121 PSF
RM140,000
Taman Desa Arif - (54)
1,200 sqft · RM117 PSF
RM110,000
Taman Desa Arif - (54)
1,200 sqft · RM92 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM140,000

RM117 psf

Median transaction price

Taman Desa Arif
© OpenStreetMap · CARTO

Taman Desa Arif, Machang, Kelantan

Taman Desa Arif in Machang, Kelantan recorded 7 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM140K and a median price per square foot (PSF) of RM117.

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 RM140K, with most transactions falling within a stable range of RM96K to RM184K, and a typical market range of RM85K to RM210K.

Within the Low-Cost House category, low-cost house dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM117, though individual units vary from RM76 to RM158 in the core range. The broader market spans RM71.17 to RM162.17, indicating diverse property characteristics. A wider spread (IQR: RM91.00) and deviation (MAD: RM41) 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.