| Road | Price | PSF | Size | Date | Type |
|---|
|
Off Jalan K.Kedah/Yan
|
RM325,000
|
RM128
|
2,530 sqft
|
|
|
Off Jalan K.Kedah/Yan
|
RM335,000
|
RM128
|
2,626 sqft
|
|
|
Off Jalan K.Kedah/Yan
|
RM699,000
|
RM188
|
3,714 sqft
|
|
Selling in Taman Sepakat? Homes here sold for a median of RM335,000.
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Taman Sepakat
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Kuala Kedah
Market Snapshot
ResidentialRM335,000
RM128 psfMedian transaction price
Taman Sepakat, Kota Setar, Kedah
Taman Sepakat in Kota Setar, Kedah recorded 3 subsale transactions between 2021 and 2026, with a median price of RM335K and a median price per square foot (PSF) of RM128.
Nothing is listed in Taman Sepakat right now. Browse properties for sale in Bandar Kuala Kedah and properties for rent in Bandar Kuala Kedah nearby, then use the 3 sales recorded here to judge whether an asking price is fair.
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 RM335K, with most transactions falling within a stable range of RM325K to RM345K, and a typical market range of RM325K to RM429K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM128, with most transactions between RM128 and RM128. The usual range is RM113.48 to RM143.48, showing that most units are priced quite close to each other. A typical spread (IQR) of RM30.00 and an average deviation (MAD) of RM0 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.