Mathesons Road is a 2.4 km Easy 4WD trail in Toonumbar, New South Wales, Australia. Average drive time is 11 minutes.
Mathesons Road offers 4WD enthusiasts an accessible introduction to off-road driving near Toonumbar, with straightforward terrain that's perfect for building confidence behind the wheel. You'll navigate a gentle 2.4 km route that showcases the rural character of inland New South Wales without demanding advanced technical skills. The flat gradient means you can focus on vehicle control and enjoying the countryside rather than wrestling with steep climbs or tricky descents.
The driving experience here is refreshingly relaxed, taking around 11 minutes to complete at a comfortable pace. You'll traverse well-defined tracks through farming country, where the landscape opens up to reveal typical rural NSW scenery. The easy difficulty rating makes this an ideal choice for newer 4WD drivers, families, or anyone wanting a casual weekend outing. Ground conditions are generally manageable year-round, though you should always check local weather forecasts before heading out, as recent rain can affect track surfaces.
This trail requires minimal preparation beyond standard vehicle checks—ensure your tyres are in good condition and carry water and basic recovery gear. With only a handful of drivers having tackled Mathesons Road so far, you'll enjoy a quiet, relatively undisturbed experience. Track this outing on the Newtracs app to add your own experience and help build the community knowledge of this approachable local trail.
Explore Mathesons Road in the app
Offline maps, live conditions & more
2.4 km
Distance
11 min
Avg Time
14 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?
23°C
Patchy rain nearby
15 km/h ESE
58%
25°C
5
7-Day Forecast
Patchy rain nearby
Patchy rain nearby
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.