| Road | Price | PSF | Size | Date | Type |
|---|
|
Lebuh Delima 1
|
RM 135,000
|
RM 113
|
1,195 sqft
|
|
|
Jalan Nilam 8
|
RM 218,000
|
RM 156
|
1,399 sqft
|
|
|
|
Jalan Arkid 2
|
RM 280,000
|
RM 200
|
1,399 sqft
|
|
|
|
Jalan Arkid 2
|
RM 212,000
|
RM 152
|
1,399 sqft
|
|
|
|
Jalan Arked 2
|
RM 250,000
|
RM 179
|
1,399 sqft
|
|
|
|
Jalan Arkid 2
|
RM 200,000
|
RM 143
|
1,400 sqft
|
|
|
|
Jalan Arked 2
|
RM 210,000
|
RM 150
|
1,399 sqft
|
|
|
|
Lebuh Arked
|
RM 220,000
|
RM 157
|
1,399 sqft
|
|
|
Lorong Nilam 8/1
|
RM 320,000
|
RM 130
|
2,454 sqft
|
|
|
|
Lorong Nilam 8/3
|
RM 350,000
|
RM 143
|
2,454 sqft
|
|
|
Jalan Nilam 6
|
RM 230,000
|
RM 67
|
3,412 sqft
|
|
|
|
Lorong Nilam 8/1
|
RM 400,000
|
RM 118
|
3,391 sqft
|
|
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Market Snapshot
ResidentialRM 225,000
RM 146 psfMedian transaction price
Taman Arkid, Kuala Muda, Kedah
Taman Arkid in Kuala Muda, Kedah recorded 12 subsale transactions in 2023, with a median price of RM 225K and a median price per square foot (PSF) of RM 146.
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 225K, with most transactions falling within a stable range of RM 155K to RM 295K, and a typical market range of RM 158K to RM 293K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 146, though individual units vary from RM 114 to RM 179 in the core range. The broader market spans RM 127.22 to RM 165.72, indicating diverse property characteristics. The spread of RM 38.50 (IQR) and deviation of RM 32 (MAD) suggest moderate price variations reflecting different property features.
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.