Use the values from your real situation
For mpg, replace sample numbers with the actual dates, quantities, prices, distances, rates, or household figures you are working with.
Calculate miles per gallon, liters per 100 kilometers and fuel cost per mile from actual fill up data.
Use the values that match the situation you want to evaluate with the mpg tool. Results update as the inputs change.
For mpg, replace sample numbers with the actual dates, quantities, prices, distances, rates, or household figures you are working with.
A result can be wrong even when the arithmetic is right if miles and kilometers, hours and minutes, ounces and pounds, or monthly and annual amounts are mixed.
Use the first result as a baseline, then change the variable you can control. Comparing two realistic scenarios usually provides more useful information than one isolated number.
Start with the values requested by the MPG tool and replace any sample numbers with figures from your actual situation. Calculate miles per gallon, liters per 100 kilometers and fuel cost per mile from actual fill up data. Keep every entry in the unit and time period shown beside the field, then review the highlighted result together with the supporting outputs.
The highlighted result is the main answer produced by the MPG calculation. The additional result cards provide context, components, ratios, costs, quantities, or comparison values that help explain why the primary result changed when you adjusted an input.
The MPG tool applies the arithmetic or modeling relationship described by the requested inputs and supporting outputs. Calculate miles per gallon, liters per 100 kilometers and fuel cost per mile from actual fill up data. Keep units, rates, and time periods consistent so the result reflects the scenario you intended to model.
Use your current mpg numbers as the baseline, record the result, then change one meaningful assumption and recalculate. For example, changing a price, rate, measurement, quantity, timeline, or cost while keeping the other inputs fixed shows how sensitive the outcome is to that one variable.
Results are estimates based on the values and assumptions entered. Review the Methodology and Calculator Disclaimer for important limitations.