Coneac Forest Road is a 2.0 km Easy 4WD trail in Coneac, New South Wales, Australia. Expect max gradient up to 13%. Average drive time is 7 minutes.
You'll appreciate Coneac Forest Road for its perfect introduction to 4WD driving in rural New South Wales. This straightforward route takes you through genuine working forest country where you can experience genuine off-road conditions without the intensity of more challenging terrain. The 2-kilometre drive showcases the natural landscape around Coneac with a mix of tree-lined sections and open forest vistas that reward your journey.
The terrain presents a moderate 13% grade that'll keep you engaged while building confidence in your vehicle's capabilities. You'll navigate natural forest roads with typical loose surfaces and uneven ground that characterise regional NSW trails. The relatively short completion time of around 7 minutes makes this ideal for testing your 4WD setup or introducing passengers to off-road driving. Sections of steeper descent require steady throttle control and proper tyre pressure management to maintain traction on the looser surfaces.
Before heading out, ensure your vehicle is in good mechanical condition and carry essential recovery gear. The isolated location means you should plan ahead with fuel, water, and communication devices. Check current conditions through the Newtracs app before departing, as weather can quickly affect forest road conditions. This trail delivers genuine off-road experience in a manageable package—perfect for weekend explorers wanting authentic 4WD driving without extreme technical demands.
Explore Coneac Forest Road in the app
Offline maps, live conditions & more
2.0 km
Distance
7 min
Avg Time
18 km/h
Avg Speed
13%
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?
10°C
Fog
5 km/h N
98%
10°C
0
7-Day Forecast
Sunny
Sunny
Sunny
Patchy rain nearby
Patchy rain nearby
Partly Cloudy
Partly Cloudy
Get offline topo maps, live conditions, and data-driven difficulty ratings.