Dingi Fire Trail is a 6.2 km Medium 4WD trail in Uriarra, New South Wales, Australia. Expect max gradient up to 9%. Average drive time is 25.24 minutes.
The Dingi Fire Trail offers 4WD drivers an accessible yet engaging challenge near Uriarra, combining scenic forest drives with genuine technical demands. You'll navigate 6.2 kilometers of well-maintained fire trail that rewards careful vehicle handling without requiring extreme expertise, making it ideal for intermediate off-roaders looking to build confidence on varied terrain.
What sets this trail apart is its consistently steep 9% grade, which you'll feel throughout your drive rather than experience in isolated sections. The gradient demands respect, particularly when managing descent control and line selection through the forest. You'll encounter a mix of compacted dirt and rocky sections that test your vehicle's traction and suspension, while the tree-lined route provides welcome shade and scenic appeal. The trail's moderate difficulty rating reflects manageable technical challenges—nothing extreme, but enough to keep your attention engaged for the full 25-minute run.
Before heading out, ensure your vehicle is in good condition and your tires have adequate tread for grip on the steeper sections. Check weather conditions, as recent rain can make the trail more challenging. With over 70 vehicles already completing this route, you'll benefit from a well-established track, though you should still carry recovery gear and let someone know your plans. Using the Newtracs app to download offline maps ensures you have navigation support throughout your journey.
Explore Dingi Fire Trail in the app
Offline maps, live conditions & more
6.2 km
Distance
25 min
Avg Time
15 km/h
Avg Speed
9%
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?
23°C
Sunny
12 km/h NNW
31%
23°C
1.6
7-Day Forecast
Sunny
Sunny
Sunny
Sunny
Partly Cloudy
Patchy rain nearby
Moderate rain
Get offline topo maps, live conditions, and data-driven difficulty ratings.