Harpers No.1 Track is a 2.4 km Easy 4WD trail in Barjarg, Victoria, Australia. Expect max gradient up to 6%. Average drive time is 5 minutes.
You'll love Harpers No.1 Track for its perfect blend of accessibility and genuine off-road adventure near Barjarg. This easy 2.4 km route offers newcomers and experienced drivers alike a chance to explore Victoria's diverse terrain without requiring advanced technical skills. The track winds through scenic countryside, showcasing the natural beauty of the region while providing a satisfying driving experience that proves 4WD adventures don't need to be extreme to be enjoyable.
The terrain here is relatively forgiving, with a gentle 6% grade that allows you to focus on enjoying the landscape rather than navigating treacherous obstacles. You'll encounter a mix of well-formed track sections and lighter off-road driving, perfect for building confidence or simply enjoying a quick expedition. The five-minute average completion time makes this ideal for fitting into a day's adventure or using as a warm-up before tackling more challenging routes in the area.
Before heading out, ensure your vehicle is in good working order and carry basic supplies—even easy tracks benefit from proper preparation. The track's popularity among the 19 vehicles that have completed it speaks to its appeal as a reliable, accessible option. You should also check current conditions before your visit, as seasonal weather can affect track quality. Harpers No.1 is the kind of trail that reminds you why 4WD exploration remains such a rewarding pursuit.
Explore Harpers No.1 Track in the app
Offline maps, live conditions & more
2.4 km
Distance
5 min
Avg Time
32 km/h
Avg Speed
6%
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?
15°C
Sunny
13 km/h NE
61%
14°C
0.2
7-Day Forecast
Sunny
Heavy rain
Patchy rain nearby
Patchy rain nearby
Patchy rain nearby
Patchy rain nearby
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.