Eastaugh Track is a 2.2 km Easy 4WD trail in Marysville, Victoria, Australia. Average drive time is 7 minutes.
The Eastaugh Track offers 4WD enthusiasts an accessible introduction to off-road driving near Marysville, with a perfectly maintained route that showcases the natural beauty of Victoria's high country. You'll navigate 2.2 kilometres of gentle terrain that winds through stunning forest scenery, with towering mountain ash and fern gullies creating a picturesque driving experience. The track's easy 1/4 difficulty rating and zero steep grades make it ideal for newcomers to four-wheel driving or those seeking a leisurely scenic drive without technical challenges.
As you progress along the route, you'll encounter a well-defined path with minimal obstacles, allowing you to focus on enjoying the surrounding landscape rather than navigating difficult terrain. The straightforward driving conditions mean you can complete the track in approximately seven minutes, making it perfect for a quick afternoon adventure or part of a longer exploration of the Marysville region. The track's popularity is evident—24 vehicles have already discovered this gem—and it's easy to see why.
Before heading out, ensure your vehicle is in good working order and carry basic supplies including water and a spare tire. While the easy difficulty rating means minimal preparation is needed, it's always wise to check current conditions and let someone know your route. The Eastaugh Track delivers genuine 4WD enjoyment without demanding technical skill, making it a must-do for anyone exploring Victoria's high country.
Explore Eastaugh Track in the app
Offline maps, live conditions & more
2.2 km
Distance
7 min
Avg Time
20 km/h
Avg Speed
--
Steep Grade
See how many vehicles have driven this trail
Already have an account?
See who's driving this trail and when
Already have an account?
11°C
Clear
4 km/h SE
83%
12°C
0
7-Day Forecast
Sunny
Sunny
Sunny
Moderate rain
Patchy rain nearby
Patchy rain nearby
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.