Perindustrian Tebrau 1

Kawasan Perindustrian Tebrau 1, Johor Bahru, Johor, Malaysia

Property Transactions

9 subsales grouped by road

Median
RM3,250,000
PSF
RM144
Period
transactions middle 50% (P25–P75)
RM2,100,000
10,350 sqft
RM203 PSF
RM2,460,000
10,350 sqft
RM238 PSF
RM2,580,000
12,312 sqft
RM210 PSF
RM10,800,000
75,129 sqft
RM144 PSF
RM6,200,000
45,699 sqft
RM136 PSF
RM2,250,000
35,995 sqft
RM63 PSF
RM16,800,000
219,251 sqft
RM77 PSF
RM3,700,000
21,045 sqft
RM176 PSF
RM3,250,000
30,832 sqft
RM105 PSF
Legend Recent Highest Price Highest PSF

Posts about Perindustrian Tebrau 1

What’s happening in Perindustrian Tebrau 1?

No posts about Perindustrian Tebrau 1 yet. Be the first to share what’s happening here.

Perindustrian Tebrau 1
© OpenStreetMap · CARTO

Kawasan Perindustrian Tebrau 1, Johor Bahru, Johor, Malaysia

Maps

Perindustrian Tebrau 1 in Johor Bahru, Johor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM3.25 million and a median price per square foot (PSF) of RM144.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM3.25 million, with most transactions falling within a stable range of RM2.25 million to RM4.25 million, and a typical market range of RM2.10 million to RM5.12 million.

Most transactions involved detached factory/warehouse, with minimal variety in property types.

Price per square foot shows a median of RM144, though individual units vary from RM85 to RM203 in the core range. The broader market spans RM94.75 to RM192.75, indicating diverse property characteristics. A wider spread (IQR: RM98.00) and deviation (MAD: RM59) 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.