Hiking Calorie Calculator
Hiking calorie calculator — estimate the calories you burn on a hike from your body weight, pack load, pace, slope and terrain using the Pandolf metabolic model (with a downhill correction). More responsive than a fixed MET table because it models load, grade and surface. Runs entirely in your browser.
Hiking Calorie Calculator
How to Use the Hiking Calorie Calculator
Enter your weight
Pick kg or lb and enter your body weight and pack load.
Set the route
Enter your average pace and the grade of the slope.
Choose terrain
Select the surface — trail, sand, snow and so on.
Read the burn
See total calories, the per-minute rate and metabolic power.
Why Hiking Burns More Than You Think
Most calorie calculators treat hiking as a single activity with one fixed burn rate — the Compendium of Physical Activities lists hiking at 5.3 to 7.8 METs, with only three coarse bands for climbing hills under load — which badly misrepresents what actually happens on a trail. Climbing a steep path with a loaded pack is a completely different metabolic event from ambling along a flat boardwalk, yet a simple MET estimate gives them nearly the same number. This calculator uses the Pandolf equation instead — a model published by US Army researchers in 1977 to predict the energy cost of marching with loads (Pandolf, Givoni and Goldman) — so it responds to the four things that really drive how hard your body works: your weight, your pack, your pace and the slope, all scaled by the kind of ground underfoot.
Each input pulls a real lever. Body weight and pack load set the mass you must lift with every step, and the model adds an extra penalty for carrying a heavy load relative to your size, which is exactly why ultralight backpackers fuss over every gram. Grade is powerful: hauling yourself uphill against gravity roughly doubles the energy cost at a 10% grade compared with level ground, and more on steeper slopes, while descending costs less — the tool applies the Santee downhill correction (2001) for negative grades, though it is worth remembering that easy-on-the-lungs descents can still punish your knees. Pace enters as a square term, so picking up speed costs disproportionately more energy. Finally, the terrain factor captures the surface: paved road is the easy baseline, a trail is harder, and loose sand more than doubles the terrain-dependent part of the cost because every footfall sinks and slips.
The result is reported three ways — total calories for the duration you enter, a per-minute rate, and the underlying metabolic power in watts — so you can compare routes, plan how much food and water to carry, or simply appreciate that a loaded uphill hike can rival a hard gym session. Treat the figure as a solid estimate rather than a precise measurement: real expenditure also depends on your fitness, gait efficiency, altitude and the weather, none of which a general model can know. Used sensibly, though, it is far more honest than a flat one-size-fits-all number, and because everything is computed in your browser, your details never leave your device.
Load and slope, not just distance, decide how hard a hike is — which is why a flat MET number gets it so wrong.
The Pandolf equation was built for soldiers carrying loads
A heavy pack costs more than its weight: the load term grows with the square of load ÷ body weight.
At a 10% grade the model roughly doubles the level-walking cost for a 70 kg hiker at 4.5 km/h.
Loose sand carries the highest measured terrain factor, 2.1 (Soule & Goldman 1972).
The Pandolf equation came out of US Army load-carriage research (Pandolf, Givoni & Goldman 1977).
It models load carriage continuously, where a fixed-MET table (Ainsworth et al. 2011) offers three coarse bands.
Downhill cost falls until about −8% grade, then rises again as braking work grows (Santee et al. 2001).
The level-walking term rises with the square of speed.
The Compendium of Physical Activities lists hiking at 5.3–7.8 METs; its hill-climbing-with-load codes are fixed at 6.5, 7.5 and 10.0 METs.
Heavier hikers burn more for the same route — body weight enters every term of the equation.
Snow’s terrain factor grows with how deep each footprint sinks (Pandolf, Haisman & Goldman 1976).
Frequently Asked Questions
- It uses the Pandolf equation, a metabolic model developed by US Army researchers that predicts the energy cost of walking from your body weight, the weight of your pack, your walking speed, the grade of the slope and a terrain factor. For downhill sections it applies the Santee correction, which reduces the estimate because descending costs less energy than climbing.
- A MET-based calculator assigns one fixed rate to “hiking” regardless of conditions. The Pandolf model is far more responsive: it accounts for how much you are carrying, how steep the trail is, and what surface you are on. Carrying a 15 kg pack up a sandy slope burns dramatically more than strolling a flat path, and only a load-and-grade model captures that difference.
- The terrain factor scales the speed- and grade-dependent part of the energy cost for the surface you are walking on. Two of the values are measured: paved road is the baseline at 1.0 and loose sand is 2.1, both from Soule and Goldman’s 1972 treadmill-and-field series, which also measured dirt road at 1.1, light brush at 1.2, heavy brush at 1.5 and swampy bog at 1.8. The remaining options are our mapping onto that series — gravel and grass take the light-brush 1.2, mud the heavy-brush 1.5, a trail is set between them at 1.3, and snow at 1.6 corresponds to a footprint sinking a few centimetres in Pandolf, Haisman and Goldman’s 1976 snow equation. Choosing the right surface changes the result materially: sand more than doubles the terrain-dependent term.
- A lot. The model treats the load as extra mass you must move on every step, and it adds a penalty for carrying weight that grows with how heavy the pack is relative to your body. This is why experienced hikers obsess over pack weight: shedding a few kilograms noticeably lowers the energy cost over a long day.
- Yes, descending costs less energy than climbing, and the calculator reflects that by applying a downhill correction for negative grades. However, very steep descents place high mechanical stress on your knees and quads even though the calorie burn is lower, so “easier on the lungs” does not mean “easier on the joints”.
- Use your realistic average over the hike, not a brief burst. A relaxed hiking pace is around 4 to 5 km/h on easy ground, dropping well below that on steep or rough terrain. Because energy cost rises with the square of speed, even modest changes in pace shift the result, so an honest average gives the most useful estimate.
- No — treat it as a well-grounded estimate. Real energy expenditure varies with fitness, gait efficiency, altitude, temperature, wind and individual physiology, none of which the base model includes. The Pandolf equation is widely used precisely because it is a good general predictor, but your true burn could differ by a margin in either direction.
- Yes. Switch the unit selector to pounds and enter your body weight and pack load in pounds; the tool converts internally to the metric units the model expects. The speed is entered in kilometres per hour and the grade as a percentage regardless of the weight unit you choose.
- Grade is the steepness of the slope as a percentage: a 10% grade rises 10 metres over 100 metres travelled. You can estimate it from a map’s contour lines or a GPS watch, which often reports grade directly. Enter a positive number for uphill and a negative number for downhill sections.
- The Pandolf equation was fitted to soldiers walking on the level and uphill at walking speeds with military loads, so it is at its best at 2 to 6 km/h with packs up to a few tens of kilograms. The downhill correction was fitted by Santee and colleagues in 2001 to 16 subjects walking at 1.34 m/s (about 4.8 km/h) on grades from −12% to +12% with loads of 0, 9.1 and 18.1 kg, and it found the lowest cost at about −8%. Outside those ranges — running pace, very steep descents, very heavy packs — the tool is extrapolating, and the figure should be read as indicative only.
Method & sources
How it computes
Metabolic power in watts from the Pandolf load-carriage equation, M = 1.5W + 2.0(W+L)(L/W)² + η(W+L)(1.5V² + 0.35VG), with body weight W and pack load L in kg, walking speed V in m/s, grade G in percent and terrain factor η; for negative grades the Santee et al. 2001 downhill term η[(G(W+L)V)/3.5 − (W+L)(G+6)²/W + 25V²] is subtracted and the result floored at zero. Watts are converted at 69.78 W per kcal/min and multiplied by the entered duration.
What this tool implements
- Pandolf, Givoni and Goldman 1977 equation for level and uphill walking; the Santee et al. 2001 correction is applied only when the grade is negative.
- Terrain factors: paved road 1.0 and loose sand 2.1 as measured by Soule and Goldman 1972; gravel and grass 1.2 (light brush) and mud 1.5 (heavy brush) mapped from the same series; trail 1.3 and snow 1.6 (a footprint sinking a few centimetres in the Pandolf, Haisman and Goldman 1976 snow equation) are RECATOOLS choices within the published range, and the page says so.
- Gross metabolic cost including rest, reported as total kcal, kcal/min and watts; no adjustment for fitness, altitude or weather.
- Fitted range stated on the page: walking speeds with military loads on the level and uphill; the downhill term at 1.34 m/s on −12% to +12% grades with 0–18.1 kg. Results outside those ranges are extrapolations.
Sources
- Pandolf KB, Givoni B, Goldman RF. Predicting energy expenditure with loads while standing or walking very slowly. Journal of Applied Physiology 1977;43(4):577-581. doi:10.1152/jappl.1977.43.4.577 PMID 908672
- Santee WR, Allison WF, Blanchard LA, Small MG. A proposed model for load carriage on sloped terrain. Aviation, Space, and Environmental Medicine 2001;72(6):562-566. PMID 11396562
- Soule RG, Goldman RF. Terrain coefficients for energy cost prediction. Journal of Applied Physiology 1972;32(5):706-708. doi:10.1152/jappl.1972.32.5.706 PMID 5038861
- Pandolf KB, Haisman MF, Goldman RF. Metabolic energy expenditure and terrain coefficients for walking on snow. Ergonomics 1976;19(6):683-690. doi:10.1080/00140137608931583 PMID 1009916
- Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR, Tudor-Locke C, Greer JL, Vezina J, Whitt-Glover MC, Leon AS. 2011 Compendium of Physical Activities: a second update of codes and MET values. Medicine & Science in Sports & Exercise 2011;43(8):1575-1581. doi:10.1249/MSS.0b013e31821ece12
What can make this go out of date
- None at runtime — published equation coefficients and terrain factors; nothing changes on a schedule.
Pick up where you left off
Stored only in this browser — never sent to our servers.