| LIST.MY · Taman Suasa Smi Park | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Suasa 3/2
|
RM320,000
|
RM156
|
2,045 sqft
|
|
Terrace Factory |
|
Jalan Suasa 3/2
|
RM638,000
|
RM1,482
|
431 sqft
|
|
Terrace Factory |
| 2023 | |||||
|
Lorong Suasa 1/4
|
RM1,325,000
|
RM184
|
7,201 sqft
|
|
Semi-D Factory |
|
Lorong Suasa 1/4
|
RM1,325,000
|
RM184
|
7,201 sqft
|
|
Semi-D Factory |
|
Lorong. Suasa 3/2
|
RM600,000
|
RM293
|
2,045 sqft
|
|
Terrace Factory |
|
Jalan Suasa 1/2
|
RM280,000
|
RM137
|
2,045 sqft
|
|
Terrace Factory |
| 2022 | |||||
|
Lorong Suasa 2/2
|
RM310,000
|
RM152
|
2,045 sqft
|
|
Terrace Factory |
|
Jalan Suasa 3/2
|
RM230,000
|
RM112
|
2,045 sqft
|
|
Terrace Factory |
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Taman Suasa Smi Park
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
Taman Suasa Smi Park in Kulim, Kedah recorded 8 subsale transactions between 2021 and 2026, with a median price of RM460K and a median price per square foot (PSF) of RM184.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM460K, with most transactions falling within a stable range of RM281K to RM639K, and a typical market range of RM230K to RM714K.
Most transactions involved terraced factory/warehouse, though some variety exists in the market.
For price per square foot, the median is RM184, with most transactions between RM168 and RM200. The usual range is RM164.13 to RM203.88, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.75 and an average deviation (MAD) of RM16 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.