| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Waja Indah 1A
|
RM 500,000
|
RM 310
|
1,615 sqft
|
|
|
Jalan Waja Indah
|
RM 460,000
|
RM 274
|
1,679 sqft
|
|
|
|
Jalan Waja Indah
|
RM 480,000
|
RM 286
|
1,679 sqft
|
|
|
|
Jalan Waja Indah
|
RM 460,000
|
RM 274
|
1,679 sqft
|
|
|
|
Jalan Waja Indah 1
|
RM 460,000
|
RM 274
|
1,679 sqft
|
|
|
|
Jalan Waja Indah 1A
|
RM 500,000
|
RM 298
|
1,679 sqft
|
|
|
Jalan Waja
|
RM 1,680,000
|
RM 188
|
8,945 sqft
|
|
|
Jalan Waja Indah
|
RM 1,680,000
|
RM 187
|
8,999 sqft
|
|
|
Jalan Waja Indah
|
RM 2,300,000
|
RM 147
|
15,629 sqft
|
|
|
Smart Tech Industrial Park
|
RM 2,950,000
|
RM 167
|
17,653 sqft
|
|
|
Smart Tech Industrial Park
|
RM 3,100,000
|
RM 170
|
18,213 sqft
|
|
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Market Snapshot
CommercialRM 500,000
RM 274 psfMedian transaction price
Taman Waja Indah, Kulim, Kedah
Taman Waja Indah in Kulim, Kedah recorded 11 subsale transactions in 2022, with a median price of RM 500K and a median price per square foot (PSF) of RM 274.
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 RM 500K, with most transactions falling within a stable range of RM 460K to RM 1.51 million, and a typical market range of RM 460K to RM 1.36 million.
Most transactions involved semi-detached factory/warehouse, though some variety exists in the market.
Price per square foot shows a median of RM 274, though individual units vary from RM 215 to RM 333 in the core range. The broader market spans RM 237.82 to RM 310.07, indicating diverse property characteristics. The spread of RM 72.25 (IQR) and deviation of RM 59 (MAD) suggest moderate price variations reflecting different property features.
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.