| Price | PSF | Size | Date | Type |
|---|
|
RM 1,199,000
|
RM 290
|
4,133 sqft
|
|
2-Sty Shop |
|
RM 1,977,000
|
RM 397
|
4,984 sqft
|
|
3-Sty Shop |
|
RM 1,877,000
|
RM 454
|
4,133 sqft
|
|
3-Sty Shop |
|
RM 23,000,000
|
RM 237
|
96,951 sqft
|
|
|
|
RM 17,000,000
|
RM 151
|
112,566 sqft
|
|
|
|
RM 17,000,000
|
RM 148
|
114,998 sqft
|
|
|
RM 1,350,000
|
RM 327
|
4,133 sqft
|
|
2-Sty Shop |
|
RM 2,077,000
|
RM 502
|
4,133 sqft
|
|
3-Sty Shop |
|
RM 7,000,000
|
RM 163
|
43,045 sqft
|
|
|
|
RM 8,000,000
|
RM 186
|
43,045 sqft
|
|
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Market Snapshot
CommercialRM 1,877,000
RM 831 psfMedian transaction price
No.2, Jalan I-Park SAC 1/1, Taman Perindustrian I-Park SAC, 81400 Senai, Johor, Malaysia
MapsI-Park Senai Airport City (Sac) in Johor Bahru, Johor recorded 13 subsale transactions between 2021 and 2026, with a median price of RM 8.00 million and a median price per square foot (PSF) of RM 237.
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 8.00 million, with most transactions falling within a stable range of RM 1.88 million to RM 14.12 million, and a typical market range of RM 1.20 million to RM 15.51 million.
Most transactions involved detached factory/warehouse, with moderate diversity in property types available.
Price per square foot shows a median of RM 237, though individual units vary from RM 151 to RM 323 in the core range. The broader market spans RM 0.00 to RM 560.73, indicating diverse property characteristics. A wider spread (IQR: RM 647.00) and deviation (MAD: RM 86) 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.