Google Maps calculates walking time primarily by dividing the route distance by a fixed average walking speed, generally around 4.5 to 5 km/h (about 3 mph). That baseline speed is then adjusted based on route-specific factors like crosswalks, intersections, and available path data. The result is usually close to real-world walking times on flat urban routes, but it can be significantly off in hilly or complex terrain.
The Baseline Speed
At its core, the calculation is simple math: distance divided by speed. Google Maps uses an average walking speed of roughly 5 km/h (3.1 mph), which works out to about 12 minutes per kilometer or 20 minutes per mile. A Bristol City Council analysis of Google’s routing data confirmed the platform uses 5 km/h as its standard. Some users and testers have found results closer to 4 km/h on certain routes, which suggests the app may slow the estimate slightly depending on route complexity, but the ballpark is consistently in that 4 to 5 km/h range.
This speed represents a moderate, purposeful walking pace for an average adult. It doesn’t account for individual fitness level, age, or mobility. If you walk briskly, you’ll typically beat Google’s estimate. If you walk slowly or with young children, you’ll likely need more time.
How Route Features Affect the Estimate
Google doesn’t just draw a straight line and divide by walking speed. The algorithm routes you along actual sidewalks, footpaths, and pedestrian crossings, then factors in the time those features add. Waiting at traffic signals, crossing busy intersections, and navigating pedestrian-only zones all get baked into the estimate. The total path distance, including every turn and detour around buildings or highways, forms the basis of the calculation rather than the straight-line distance between two points.
Google also pulls from its massive database of map data, including information about which roads have sidewalks, where pedestrian bridges or underpasses exist, and which paths are actually walkable. In dense urban environments like Hong Kong or Tokyo, where road networks are complex, this crowdsourced and continuously updated data helps produce more realistic estimates than simple distance-based calculations would.
Where Elevation Gets Tricky
One of the biggest gaps in Google Maps’ walking estimates is how it handles hills. Multiple users have reported that the app treats steep mountain trails nearly the same as flat sidewalks. A hiker planning a route through the Swiss Alps, for example, noticed that Google estimated almost identical times for uphill and downhill segments, despite thousands of feet of elevation change. That doesn’t match reality at all.
Walking uphill at a steep grade can cut your speed in half or more. Experienced hikers use rules like Naismith’s Rule, which adds roughly one hour for every 2,000 feet (600 meters) of elevation gain on top of the flat-distance time. Google Maps doesn’t appear to apply anything this aggressive. The result is that walking estimates on hilly or mountainous routes tend to be significantly too optimistic. If your route involves real elevation changes, dedicated hiking apps that factor in vertical gain will give you a much more reliable number.
The Role of Crowdsourced Data
Google collects anonymized location data from the billions of devices running Google Maps and Android. For driving, this data is heavily used to estimate real-time traffic speeds. For walking, the role of crowdsourced data is less transparent, but researchers have found that Google’s walking estimates reflect realistic conditions in complex urban environments better than a simple speed-times-distance formula would explain. This suggests the algorithm incorporates at least some real-world pedestrian movement data or infrastructure data gathered from users over time.
A study published in Scientific Reports confirmed that Google Maps’ API provides “accurate and dynamic” estimates of walking distance and time, particularly in high-density cities where realistic road and path conditions are well-represented in Google’s database. The accuracy tends to be highest in well-mapped urban areas where millions of people walk regularly, and lowest in rural, mountainous, or poorly mapped regions.
How Accurate It Actually Is
On flat, urban terrain with good sidewalks and standard intersections, Google’s walking times are surprisingly reliable. Most people find the estimates land within a few minutes of their actual walking time for distances under a couple of miles. One analysis of Google’s location services found time precision of about 85% within a given accuracy radius.
The estimates break down in predictable situations. Steep hills, trails with uneven footing, large crowds, indoor routes through malls or airports, and paths that require stairs or escalators all introduce errors. Google Maps also doesn’t know if you’ll have to wait three minutes at a long traffic light or breeze through on a walk signal. These small variables add up, especially on longer routes.
As a practical rule: trust Google’s walking time for flat city routes, add 20 to 30 percent for moderately hilly routes, and use a dedicated hiking tool for anything involving serious elevation or trail conditions. If you consistently find Google’s estimates too fast or too slow for your personal pace, you can mentally calibrate by timing a few familiar walks and noting the difference.