Property Type
| LIST.MY · Taman Sawi | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Lorong Sawi 2/7
|
RM350,000
|
RM169
|
2,067 sqft
|
|
Terrace |
|
Jalan Taman Sawi
|
RM700,000
|
RM286
|
2,443 sqft
|
|
2-Sty Shop |
| 2022 | |||||
|
Lorong. Sawi 2/7
|
RM380,000
|
RM123
|
3,089 sqft
|
|
Terrace |
Selling in Taman Sawi? Homes here sold for a median of RM380,000.
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Taman Sawi
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 Kulim
Market Snapshot
ResidentialRM365,000
RM146 psfMedian transaction price
Taman Sawi, Kulim, Kedah
Taman Sawi in Kulim, Kedah recorded 3 subsale transactions between 2021 and 2026, sized between 2,000 and 5,000 sqft, with a median price of RM380K and a median price per square foot (PSF) of RM169.
This area contains both residential and commercial properties. View 15 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM380K, with most transactions falling within a stable range of RM350K to RM538K, and a typical market range of RM350K to RM438K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM169, though individual units vary from RM101 to RM238 in the core range. The broader market spans RM111.35 to RM227.35, indicating diverse property characteristics. A wider spread (IQR: RM116.00) and deviation (MAD: RM69) indicate significant PSF variations, likely due to diverse property types or conditions.
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.