Pump Jack Track is a 4.8 km Easy 4WD trail in Little Desert, Victoria, Australia. Average drive time is 8 minutes.
You'll discover why the Pump Jack Track near Little Desert is a favorite among 4WD enthusiasts looking for a relaxed, scenic drive through Victoria's unique landscape. This 4.8 km route showcases the region's distinctive character without demanding technical driving skills, making it perfect for exploring at a leisurely pace. The track winds through open terrain with views of the Little Desert's natural beauty, offering an accessible way to experience this corner of Victoria while your vehicle does minimal work.
The driving experience here is straightforward—you'll encounter well-formed track surfaces with no steep grades to navigate, allowing you to focus on enjoying the surroundings rather than concentrating on challenging obstacles. The gentle conditions mean you can take your time photographing the landscape and soaking in the local environment. Most drivers complete the route in around 8 minutes of actual driving, though you'll likely spend longer if you stop to explore or capture images.
Before heading out, prepare as you would for any remote area drive: carry water, check your fuel levels, and ensure your vehicle is in good working order. While the terrain is forgiving, you're still in a rural area, so basic supplies and communication devices are sensible precautions. With 16 vehicles already logged on Newtracs, you can see this track has proven popular with the community—a reliable choice for an easy-going off-road adventure.
Explore Pump Jack Track in the app
Offline maps, live conditions & more
4.8 km
Distance
8 min
Avg Time
40 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?
17°C
Moderate rain
19 km/h NNW
88%
17°C
0
7-Day Forecast
Moderate rain
Moderate rain
Patchy rain nearby
Patchy rain nearby
Patchy rain nearby
Moderate rain
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.