Old Tip Track (Summit Access) is a 0.5 km 4WD trail in District of Majura, New South Wales, Australia.
You'll discover a compelling short access route near the District of Majura that promises intriguing off-road exploration in the New South Wales high country. Old Tip Track serves as a gateway to summit access, making it an essential waypoint for 4WD adventurers seeking to reach elevated terrain and expansive vistas. Despite its modest 0.5 km length, this trail offers the kind of purposeful driving that rewards those willing to venture beyond conventional tourist routes.
The track presents a straightforward driving experience with manageable terrain that won't demand extreme vehicle modifications or advanced technical skills. You should expect a relatively flat approach that contrasts beautifully with the rugged landscapes surrounding the Majura district. The journey culminates at summit access points, opening up opportunities for panoramic views and exploration of the broader alpine region. While the track itself maintains gentle grades, you'll want to ensure your vehicle is road-worthy and equipped for remote territory driving.
Before heading out, check current conditions through local resources, as weather and seasonal changes can affect accessibility in this elevated area. Bring adequate supplies, ensure your 4WD is properly maintained, and let someone know your intended route. This short but strategically important trail exemplifies the kind of hidden gems that make regional 4WD exploration so rewarding—sometimes the best adventures begin with a half-kilometre drive in the right direction.
Explore Old Tip Track (Summit Access) in the app
Offline maps, live conditions & more
0.5 km
Distance
--
Avg Time
--
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?
22°C
Sunny
12 km/h NNW
35%
23°C
1.6
7-Day Forecast
Sunny
Sunny
Sunny
Sunny
Patchy rain nearby
Sunny
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.