Hartz 2 is a 2.3 km Medium 4WD trail in Southwest, Tasmania, Australia. Average drive time is 7.79 minutes.
You'll discover why Hartz 2 is a favorite among 4WD enthusiasts seeking accessible adventure in Southwest Tasmania. This medium-difficulty trail offers the perfect balance of engaging driving without extreme technical demands, making it ideal for intermediate drivers looking to build confidence or experienced adventurers wanting a quick, satisfying run. The 2.3 km route winds through diverse Tasmanian wilderness, showcasing the region's distinctive landscape with native vegetation, rocky outcrops, and scenic vistas that reward your efforts.
The terrain here keeps you engaged with varied driving surfaces and natural obstacles that require careful line selection and steady vehicle control. You'll navigate through sections that test your awareness without demanding rock-crawling expertise, making it an excellent choice for expanding your 4WD skills. The absence of steep grades means you can focus on reading the terrain and managing traction rather than managing extreme angles—allowing you to appreciate the beautiful Southwest surroundings while driving.
Before heading out, ensure your vehicle is in good mechanical condition and your tires have adequate tread for variable ground conditions. Bring supplies for Tasmania's unpredictable weather, and download the Newtracs app to track your progress and access detailed trail navigation. With an average completion time of just eight minutes, Hartz 2 is perfect for squeezing into a larger adventure, or as a standalone outing when time is limited.
Explore Hartz 2 in the app
Offline maps, live conditions & more
2.3 km
Distance
8 min
Avg Time
19 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?
7°C
Mist
4 km/h NNW
95%
7°C
0
7-Day Forecast
Sunny
Sunny
Partly Cloudy
Partly Cloudy
Patchy rain nearby
Patchy rain nearby
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.