Wausau — Mongo distance, route on the map
Distance by car
Distance between Wausau, Wisconsin, United States and Mongo, Indiana, United States by car is — km, or miles. To travel this distance by car, you need minute, or h.
Route on the map, driving directions
Car route Wausau — Mongo was created automatically. The road on the map is shown as a blue line. By moving the markers, you can create a new route through the points you need.
Passing cities through which the car route passes: Schofield, Rothschild, Mosinee, Stevens Point, Polonia, Amherst Junction, Amherst, Waupaca, Weyauwega, Larsen, Butte des Morts, Winnebago, Oshkosh, Van Dyne, Fond du Lac, Lomira, Allenton, Jackson, Menomonee Falls, Brown Deer, Wauwatosa, United States, Milwaukee, General Mitchell International Airport, Oak Creek, Caledonia, Sylvania Airport, Pleasant Prairie, Winfield Airport, Gurnee, North Chicago, Lake Bluff, Bannockburn, Highwood, Highland Park, Glencoe, Winnetka, Glenview, Skokie, Morton Grove, Skokie, Chicago, Chicago, Chicago, Cook County, Burnham, Calumet City, Hammond, East Chicago, Gary, Hobart, Chesterton, Westville, La Porte, Rolling Prairie, Galien, Roseland, Notre Dame, Granger, Elkhart, Bristol, Middlebury, Sturgis.
Distance by plane
If you decide to take a trip Wausau Mongo by plane, then you have to fly the distance — 506 km or 314 miles. It is marked on the map with a gray line (between two points in a straight line).
Flight time
Estimated flight time Wausau Mongo by plane at cruising speed 750 km / h will be — 40 min.
Direction of movement
United States, Wausau — right-hand traffic. United States, Mongo — right-hand traffic.
Difference in time
Wausau and Mongo are in different time zones. The time difference is 1 hour (UTC -5 America/Chicago, UTC -4 America/New_York).
Interesting Facts
Information on alternative ways to get to your destination.
The length of this distance is about 1.3% of the total length of the equator.
The cost of travel
Calculate the cost of the trip yourself using the fuel consumption calculator, changing the data in the table.