Taman Lurik indah
379, Jalan Lurik Indah 6, Kampung Sungai Pasir Kechil, 08000 Sungai Petani, Kedah, Malaysia
379, Jalan Lurik Indah 6, Kampung Sungai Pasir Kechil, 08000 Sungai Petani, Kedah, Malaysia
| LIST.MY · Taman Lurik Indah | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Lurik 6/1
|
RM403,000
|
RM112
|
3,595 sqft
|
|
Semi-D |
| 2023 | |||||
|
Ymn Lurik Indah Phase 6
|
RM382,000
|
RM106
|
3,595 sqft
|
|
Semi-D |
Selling in Taman Lurik Indah? Homes here sold for a median of RM392,500.
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Taman Lurik indah
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
ResidentialRM392,500
RM109 psfMedian transaction price
Taman Lurik indah, 379, Jalan Lurik Indah 6, Kampung Sungai Pasir Kechil, 08000 Sungai Petani, Kedah, Malaysia
MapsTaman Lurik indah in Kuala Muda, Kedah recorded 2 subsale transactions between 2021 and 2026, sized between 3,575 and 3,624 sqft, with a median price of RM393K and a median price per square foot (PSF) of RM109.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM393K, with most transactions falling within a stable range of RM382K to RM403K, and a typical market range of RM382K to RM403K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM109, with most transactions between RM106 and RM112. The usual range is RM103.05 to RM115.30, showing that most units are priced quite close to each other. A typical spread (IQR) of RM12.25 and an average deviation (MAD) of RM3 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.