|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2025 | |||||
|
Jalan Changloon
|
RM 250,000
|
RM 179
|
1,399 sqft
|
|
Terrace |
| 2024 | |||||
|
Jalan Changloon
|
RM 350,000
|
RM 134
|
2,616 sqft
|
|
Semi-D |
| 2023 | |||||
|
Jalan Changloon - Sintok
|
RM 170,000
|
RM 155
|
1,098 sqft
|
|
LC House |
|
Jalan Changloon
|
RM 160,000
|
RM 146
|
1,098 sqft
|
|
LC House |
| 2022 | |||||
|
Jalan Sintok
|
RM 160,000
|
RM 146
|
1,098 sqft
|
|
LC House |
|
Jalan Changloon
|
RM 300,000
|
RM 117
|
2,562 sqft
|
|
Semi-D |
|
Jalan Seri Meranti 2
|
RM 320,000
|
RM 139
|
2,303 sqft
|
|
Semi-D |
| 2021 | |||||
|
Jalan Changloon
|
RM 245,000
|
RM 167
|
1,464 sqft
|
|
Terrace |
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Market Snapshot
ResidentialRM 170,000
RM 155 psfMedian transaction price
TAMAN SRI MERANTI, Taman Seri Meranti, Bandar Changloon, 06010, Kubang Pasu, Kedah, Malaysia
Taman Sri Meranti in Kubang Pasu, Kedah recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 248K and a median price per square foot (PSF) of RM 155.
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 248K, with most transactions falling within a stable range of RM 173K to RM 323K, and a typical market range of RM 179K to RM 316K.
Most transactions involved low-cost house, with high diversity across multiple property types.
For price per square foot, the median is RM 155, with most transactions between RM 144 and RM 165. The usual range is RM 144.72 to RM 164.97, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 20.25 and an average deviation (MAD) of RM 11 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.