Gardner, Kansas to Manhattan: Road Trip Guide & Distance

92 miles 148 km · straight line
115 miles estimated 185 km · driving distance
2h 19min estimated drive time
$11 - $14 estimated fuel cost
~41min flight time · usually no direct flights
287° WNW bearing direction

How far is Gardner, Kansas from Manhattan?

The distance from Gardner, Kansas to Manhattan is 92 miles (148 km) as the crow flies. Manhattan is located WNW of Gardner, Kansas. By car, the driving distance is approximately 115 miles, taking about 2h 19min. A direct flight would take roughly 41min. Both are located in United States.

This is a quick and easy drive, perfect for a day trip or weekend getaway. You can easily make the round trip in a single day. Since you'll be heading mostly West, pack a good pair of sunglasses if you plan to drive during the late afternoon to avoid the harsh sun glare. Given the short distance, driving or taking a train is often faster and more convenient than dealing with airport security and flight boarding times.

Coordinates come from public place data for Gardner, Kansas and Manhattan. The driving distance is estimated from straight-line distance with a road-factor model, so confirm the route in your navigation app. Fuel, flight, bus, and train values are planning estimates and can change by date, provider, road closures, and border rules.

How to Get from Gardner, Kansas to Manhattan

Method Time Est. Cost Best For
Drive 2h 19min $11 - $14 Flexible stops
Bus ~2h 47min $9–$17* Budget
Train ~2h 12min $14–$40* Comfort

Suggested Stops Between Gardner, Kansas & Manhattan

Quick Facts

Gardner, Kansas
38.81°N, 94.93°W
America/Chicago
323m elevation
Manhattan
39.18°N, 96.57°W
America/Chicago
311m elevation
Explore more routes from Manhattan

Did You Know?

  • At walking speed (3 mph), it would take about 31 hours of non-stop walking
  • By bicycle at 12 mph, the journey would take roughly 8 hours
  • You could travel this distance about 270.8 times to circle the Earth's equator
Data Sources & Estimate Notes GeoNames · OpenStreetMap · Driving distance estimated using road factor coefficients