Red Ochre Track is a 3.4 km Easy 4WD trail in Hattah, Victoria, Australia. Average drive time is 8.07 minutes.
Red Ochre Track near Hattah offers 4WD enthusiasts an accessible introduction to off-road driving in Victoria's unique semi-arid landscape. You'll discover why this easy 3.4 km route is perfect for building confidence behind the wheel, whether you're new to four-wheel driving or simply looking for a relaxed outing. The track winds through distinctive red earth terrain that gives the trail its evocative name, showcasing the region's striking geological character.
The driving experience here is straightforward and forgiving, with no steep grades to challenge you as you navigate the sandy and compacted earth surface. You'll enjoy scenic views across the semi-arid country, with native vegetation framing your route as you progress through this quiet corner of the Mallee. The straightforward terrain means you can focus on soaking in the landscape and enjoying the tranquility of the region rather than concentrating on technical obstacles. Most drivers complete the track in around 8 minutes, making it ideal for fitting into a broader exploration of the Hattah area.
Before heading out, ensure your vehicle is road-legal and in good working condition—even easy trails require basic vehicle maintenance. Pack water and let someone know your plans. While the track presents minimal hazards, standard 4WD safety practices should always apply. Track conditions can vary seasonally, so checking current conditions via the Newtracs app before departure is recommended to ensure an enjoyable experience.
Explore Red Ochre Track in the app
Offline maps, live conditions & more
3.4 km
Distance
8 min
Avg Time
25 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?
16°C
Partly Cloudy
16 km/h E
50%
16°C
0
7-Day Forecast
Cloudy
Sunny
Partly Cloudy
Partly Cloudy
Overcast
Moderate rain
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.