Taman Lagenda
09010 Padang Serai, Kedah, Malaysia
09010 Padang Serai, Kedah, Malaysia
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Jalan Lagenda 15A/1
|
RM 350,000
|
RM 130
|
2,691 sqft
|
|
Terrace |
| 2023 | |||||
|
Jalan Lagenda 4/6
|
RM 330,000
|
RM 123
|
2,691 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Lagenda 4/8
|
RM 350,000
|
RM 130
|
2,691 sqft
|
|
Terrace |
| 2021 | |||||
|
Jalan Lagenda 20/2
|
RM 320,000
|
RM 119
|
2,691 sqft
|
|
Terrace |
|
Jalan Lagenda 17/1
|
RM 290,000
|
RM 108
|
2,691 sqft
|
|
Terrace |
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Market Snapshot
RM 330,000
RM 123 psfMedian transaction price
RM 265,000
RM 183 psfMedian transaction price
Taman Lagenda, 09010 Padang Serai, Kedah, Malaysia
MapsTaman Lagenda in Kulim, Kedah recorded 5 subsale transactions between 2021 and 2026, sized between 2,675 and 2,724 sqft, with a median price of RM 330K and a median price per square foot (PSF) of RM 123.
This area contains both residential and commercial properties. View 187 residential properties or 8 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 330K, with most transactions falling within a stable range of RM 308K to RM 350K, and a typical market range of RM 305K to RM 350K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
For price per square foot, the median is RM 123, with most transactions between RM 114 and RM 131. The usual range is RM 102.01 to RM 143.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 41.25 and an average deviation (MAD) of RM 8 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.