| LIST.MY · Taman Mesra | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Off Jalan Sekerat
|
RM240,000
|
RM177
|
1,356 sqft
|
|
2-Sty Terrace |
| 2024 | |||||
|
Taman Mesra
|
RM180,000
|
RM133
|
1,356 sqft
|
|
2-Sty Terrace |
| 2023 | |||||
|
Off Jalan Sekerat
|
RM170,000
|
RM125
|
1,356 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Off Jalan Sekerat
|
RM300,000
|
RM221
|
1,356 sqft
|
|
2-Sty Terrace |
Selling in Taman Mesra? Homes here sold for a median of RM210,000.
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Taman Mesra
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 Sungai Petani
Market Snapshot
ResidentialRM210,000
RM155 psfMedian transaction price
Taman Mesra, Kuala Muda, Kedah
Taman Mesra in Kuala Muda, Kedah recorded 4 subsale transactions between 2021 and 2026, sized between 1,325 and 1,374 sqft, with a median price of RM210K and a median price per square foot (PSF) of RM155.
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 RM210K, with most transactions falling within a stable range of RM170K to RM262K, and a typical market range of RM171K to RM249K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
Price per square foot shows a median of RM155, though individual units vary from RM116 to RM193 in the core range. The broader market spans RM141.59 to RM168.09, indicating diverse property characteristics. The spread of RM26.50 (IQR) and deviation of RM38 (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.