| LIST.MY · Taman Sepakat | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Off Jalan K.kedah/Yan
|
RM325,000
|
RM128
|
2,530 sqft
|
|
Semi-D |
| 2023 | |||||
|
Off Jalan K.kedah/Yan
|
RM699,000
|
RM188
|
3,714 sqft
|
|
Semi-D |
| 2022 | |||||
|
Off Jalan K.kedah/Yan
|
RM335,000
|
RM128
|
2,626 sqft
|
|
Semi-D |
Posts about Taman Sepakat
No posts about Taman Sepakat yet. Be the first to share what’s happening here.
Nearby areas in Bandar Kuala Kedah
Taman Bersatu (Batas Paip)
Taman Flora
Taman Seri Marina
Taman Gamelan
Taman Seri Rotan
Taman Restu
Taman Nusantara
Taman Shah Bandar
Taman Kemudi
Taman Marina Jaya
Taman Harapan
Taman Kasih(Pl 108)
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
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.
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.