
Ask five operators what a truck should do per litre and you will get five confident answers. Most will be borrowed from a different vehicle, a lighter load, an easier route, or a week when somebody forgot to record a fill. The arithmetic is simple. The difficult part is making sure the kilometres and litres describe the same work.
A useful fuel figure is not a promise from a brochure and it is not one good trip. It is a baseline learned from the vehicle itself: enough clean distance and complete fuel records to show what normal looks like before an unusual result is treated as a problem.
Kenyan fleet teams usually speak in kilometres per litre. Reports may use litres per 100 kilometres instead. Both describe the same result from opposite directions.
km/L
distance ÷ litres
Higher is better. A truck covering 720 km on 360 L returns 2.0 km/L.
L/100 km
litres ÷ distance × 100
Lower is better. The same 720 km and 360 L equals 50 L/100 km.
To convert either way, divide 100 by the figure. A result of 2.0 km/L is 50 L/100 km. A result of 40 L/100 km is 2.5 km/L. Keep one unit on the vehicle record and in every report; switching formats halfway through a review creates mistakes that look like operational variance.
The most practical manual method is to return the tank to a consistent level after a known distance. The litres required to restore that level approximate what the truck consumed. It only works when every litre in between is counted.
Worked example
Opening odometer: 184,220 km
Closing odometer: 184,940 km
Total fuel added in the window: 360 L
Distance: 720 km · Economy: 2.0 km/L · Consumption: 50 L/100 km
A fuel gauge is useful for direction, not precise accounting. Tank shape is irregular, fuel moves on gradients and rough roads, and the top half of a gauge does not always represent the same litres as the bottom half. If your tracker reads tank level, use settled readings and trends rather than treating every percentage movement as a fill or a loss.
Keep the measurement independent
Record the fill against the vehicle, preserve the receipt, and take distance from the odometer or tracker. The person whose consumption is being measured should not be the only person who owns all three inputs.
Two trucks with the same badge can still do different work. One pulls a trailer on the Northern Corridor; another runs local drops in Nairobi traffic. One returns empty; the other carries dense cargo in both directions. Averaging them produces a neat number that describes neither truck.
Start with several clean fills and enough working distance to dilute the noise of one top-up, one hill, or one queue. Keep learning as the vehicle works. Compare a new trip with that vehicle's own established range and, where possible, with trips of similar route, payload, trailer, and traffic conditions.
Cost per kilometre then becomes useful. Divide the diesel price per litre by km/L. If the price changes, cost per kilometre changes even when the truck's physical economy does not, which is why litres and money should stay as separate measures in an operating review.
An impossible result is often a broken measurement window. Before treating variance as waste or theft, make sure the inputs belong together.
Once the record survives that check, look for a change in the work or the vehicle.
None of those signals is a verdict by itself. A 20% change on one short trip is a reason to look. The same change across repeated comparable trips, supported by location, engine-hours, maintenance, and tank-level evidence, is a reason to act.
A spreadsheet can calculate km/L. The operating value comes from connecting that result to the trip that created it. Dispatch knows the route and load. Telematics knows the distance, movement, and engine time. The fuel record knows the litres. Maintenance knows whether tyre pressure, brakes, filters, or a repair changed the vehicle.
Keep those records on one timeline and the review question changes from “Why did we spend so much on diesel?” at month-end to “What changed on this vehicle on this trip?” while the evidence still exists. For the hardware side of that record, read the guide to fuel monitoring systems in Kenya. For the investigation workflow, see how fleets can make unexplained diesel loss visible.
Divide the distance travelled by the litres consumed. If a truck covers 720 km on 360 litres, its economy is 2.0 km/L. Use distance and fuel from the same measurement window, and include every fill made during that window.
Kilometres per litre shows how far the vehicle travels on one litre, so a higher number is better. Litres per 100 km shows how much fuel it burns over 100 km, so a lower number is better. Convert between them with 100 ÷ km/L or 100 ÷ L/100 km.
There is no honest universal figure because truck class, engine, payload, trailer, route, road surface, congestion, idling, and driving style all change consumption. The useful benchmark is the same vehicle doing comparable work over enough clean trips to establish its own normal range.
A dashboard gauge estimates level and can move with road slope, tank shape, and fuel slosh. A consistent full-to-full test measures the litres required to return the tank to the same level after a known distance, which gives a stronger consumption figure when every intermediate fill is recorded.
No. High consumption is a review signal, not proof of theft. First rule out bad records, payload and route changes, idling, tyre or brake problems, maintenance issues, and auxiliary equipment; then investigate unexplained repeated variance alongside tank-level and vehicle-location evidence.
Measure the work, not the story
Kora connects fills, receipts, distance, engine activity, trips, and maintenance on the same vehicle record, then routes unusual consumption to a review queue for a named decision.