Rocky Ned Falls Track is a 0.9 km Easy 4WD trail in Creek Junction, Victoria, Australia. Average drive time is 1.78 minutes.
Rocky Ned Falls Track offers 4WD enthusiasts a refreshing introduction to off-road driving near Creek Junction, combining easy accessibility with genuine scenic appeal. You'll find this 0.9 km route perfectly suited for newcomers, families, or anyone seeking a quick adventure without technical demands. The track's flat terrain means you can focus on enjoying the journey rather than wrestling with your vehicle, making it an ideal confidence-builder for those new to four-wheel driving.
The drive itself takes just two minutes, but don't let the brevity fool you—the rewards are substantial. You'll navigate through attractive bushland scenery that opens onto views of the falls themselves, providing excellent photo opportunities and a peaceful destination to explore on foot. The minimal grade ensures stability throughout, so you can concentrate on the surrounding environment: native vegetation, rock formations, and the natural water features that give this trail its name.
Preparation is refreshingly straightforward here. Standard 4WD vehicles handle this track with ease, and you should simply ensure your fuel tank has adequate reserves for the journey to and from Creek Junction. The Newtracs app can help you locate the trailhead and track your progress. With 15 vehicles having successfully completed Rocky Ned Falls Track, you'll be joining a community of satisfied explorers who've discovered that sometimes the best adventures come in compact packages.
Explore Rocky Ned Falls Track in the app
Offline maps, live conditions & more
0.9 km
Distance
2 min
Avg Time
30 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?
21°C
Sunny
22 km/h NNE
43%
21°C
2.1
7-Day Forecast
Sunny
Heavy rain
Patchy rain nearby
Patchy rain nearby
Partly Cloudy
Moderate rain
Moderate rain
Get offline topo maps, live conditions, and data-driven difficulty ratings.