Property Type
| LIST.MY · Taman Impiana | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Impiana 3
|
RM665,000
|
RM86
|
7,696 sqft
|
|
2-Sty Shop |
| 2022 | |||||
|
Jalan Impiana 3
|
RM665,000
|
RM86
|
7,696 sqft
|
|
3-Sty Shop |
|
Jalan Impiana 3
|
RM1,880,000
|
RM244
|
7,696 sqft
|
|
3-Sty Shop |
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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 Sedenak
Market Snapshot
RM518,000
RM313 psfMedian transaction price
RM665,000
RM86 psfMedian transaction price
470, Jln Impiana 15, 81000 Kulai, Johor Darul Ta'zim, Malaysia
MapsTaman Impiana in Kulai, Johor recorded 3 subsale transactions between 2021 and 2026, sized between 7,675 and 7,724 sqft, with a median price of RM665K and a median price per square foot (PSF) of RM86.
This area contains both residential and commercial properties. View 50 residential properties or 16 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM665K, with most transactions falling within a stable range of RM665K to RM1.24 million, and a typical market range of RM665K to RM789K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM86, though individual units vary from RM12 to RM161 in the core range. The broader market spans RM21.78 to RM151.04, indicating diverse property characteristics. A wider spread (IQR: RM129.25) and deviation (MAD: RM74) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.