| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Intan Setia 4
|
RM 520,000
|
RM 314
|
1,658 sqft
|
|
|
|
Jalan Intan Setia 4
|
RM 490,000
|
RM 296
|
1,658 sqft
|
|
|
|
Jalan Intan Setia 1/1
|
RM 400,000
|
RM 241
|
1,658 sqft
|
|
|
|
Jalan Intan Setia 1/1
|
RM 418,000
|
RM 252
|
1,658 sqft
|
|
|
|
Jalan Intan Setia 1/1
|
RM 439,000
|
RM 265
|
1,658 sqft
|
|
|
Off Jalan Intan
|
RM 426,000
|
RM 254
|
1,679 sqft
|
|
|
|
Off Jalan Intan
|
RM 449,000
|
RM 267
|
1,679 sqft
|
|
|
|
Off Jalan Intan
|
RM 426,000
|
RM 254
|
1,679 sqft
|
|
|
|
Off Jalan Intan
|
RM 426,000
|
RM 254
|
1,679 sqft
|
|
|
|
Off Jalan Intan
|
RM 459,000
|
RM 273
|
1,679 sqft
|
|
|
|
Off Jalan Intan Fasa 1B-2
|
RM 980,000
|
RM 584
|
1,679 sqft
|
|
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Market Snapshot
ResidentialRM 449,000
RM 318 psfMedian transaction price
Taman Intan Setia, Kuala Muda, Kedah
Taman Intan Setia in Kuala Muda, Kedah recorded 18 subsale transactions between 2021 and 2026, with a median price of RM 449K and a median price per square foot (PSF) of RM 267.
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 449K, with most transactions falling within a stable range of RM 426K to RM 472K, and a typical market range of RM 434K to RM 464K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM 267, with most transactions between RM 254 and RM 281. The usual range is RM 258.89 to RM 275.89, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 17.00 and an average deviation (MAD) of RM 14 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.