Taman Alamanda

Kelantan, Machang, Labok

Property Transactions

7 subsales grouped by size

Median
RM 320,000
PSF
RM 230
Period
transactions middle 50% (P25–P75)
1,300 sqft
Terrace
RM 320,000
Kuala Krai - Kota Bharu
1,302 sqft · RM 246 PSF
RM 320,000
Kuala Krai - Kota Bharu
1,302 sqft · RM 246 PSF
RM 300,000
Jalan Machang - Kota Bharu
1,302 sqft · RM 230 PSF
RM 300,000
Jalan Machang - Kota Bharu
1,302 sqft · RM 230 PSF
RM 300,000
Jalan Machang - Kota Bharu
1,302 sqft · RM 230 PSF
2,100 sqft
Terrace
RM 370,000
Jalan Machang - Kota Bharu
2,099 sqft · RM 176 PSF
2,350 sqft
Terrace
RM 365,000
Jalan Machang - Kota Bharu
2,336 sqft · RM 156 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 320,000

RM 230 psf

Median transaction price

Taman Alamanda
© OpenStreetMap · CARTO

Taman Alamanda, Machang, Kelantan

Taman Alamanda in Machang, Kelantan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 320K and a median price per square foot (PSF) of RM 230.

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 320K, with most transactions falling within a stable range of RM 300K to RM 340K, and a typical market range of RM 300K to RM 341K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM 230, with most transactions between RM 214 and RM 246. The usual range is RM 212.84 to RM 247.84, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 35.00 and an average deviation (MAD) of RM 16 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.