How the BMR formula works, step by step
Follow a complete Mifflin–St Jeor example and see exactly what the calculator can—and cannot—tell you.
Read the guide →Estimate resting energy with a transparent formula. Explore daily activity scenarios alongside the result.
Example values are prefilled. Replace them to calculate.
The calculator uses weight, height, age, and one of the two published Mifflin–St Jeor coefficients to estimate resting energy expenditure. We show the equation and a breakdown rather than presenting an unexplained number. The original study is available through PubMed.
For the male coefficient, the simplified equation is 10 × kg + 6.25 × cm − 5 × age + 5. For the female coefficient, replace +5 with −161. The output is expressed in kcal per day. Values are converted to metric internally; intermediate results are not rounded before the activity calculation.
Enter the measurements in the selected units, choose the appropriate equation coefficient, and calculate. The default inputs are an illustrative example. If you edit any input, the old result is hidden until you calculate again, so an earlier estimate cannot be mistaken for the new one.
Start by naming the quantity you want to understand. If you want to inspect a resting-energy equation, use the BMR calculator on this page. If you want to see what happens after including an assumed activity factor, use the TDEE calculator. If you are comparing a food label written in kilojoules with one written in kilocalories, use the energy converter. These tools share some vocabulary, but they answer different questions.
A BMI result cannot be used in place of a resting-energy estimate. BMI has units of kilograms per metre squared, while this tool produces kilocalories per day. Likewise, a food’s energy content is an amount of energy, whereas a daily estimate is an amount per day. Keeping the units attached to each number is a simple way to prevent these mix-ups before they affect a calculation.
| Your question | Appropriate tool | What it leaves out |
|---|---|---|
| What does a resting-energy equation predict? | BMR calculator | A measurement of your actual metabolism |
| How does an activity assumption change the estimate? | TDEE calculator | An individually measured activity factor |
| What is the adult height-to-weight screening ratio? | Adult BMI | A diagnosis or direct body-fat measurement |
| How do kcal and kJ compare? | Energy converter | Serving-size changes or dietary advice |
The UK option separates height into whole feet and additional inches, and weight into whole stones and additional pounds. For eleven stone four pounds, enter 11 and 4. Do not enter 11.4 in the stones box: the part after a decimal point is a fraction of a stone, not a count of pounds. For five feet nine inches, enter 5 and 9 rather than 5.9 feet.
The metric option uses total centimetres and total kilograms. A height of 1.75 metres becomes 175 centimetres. A weight of 70 kilograms stays 70; it should not be converted to pounds first. Switching the unit buttons converts valid existing measurements so you can inspect the equivalent values. If a field is empty or invalid, check the visible measurements after switching before submitting the form.
Our UK example of eleven stone four pounds becomes 158 pounds. Multiplying by 0.45359237 gives 71.66759446 kilograms. Five feet nine inches becomes 69 inches, or 175.26 centimetres. Those converted values enter the same equation used by the metric option. The unit selector changes the input format, not the underlying prediction method. See the measurement guide for further examples.
Consider a fictional 35-year-old adult who enters eleven stone four pounds, five feet nine inches, and the published male coefficient. This example is invented to demonstrate the arithmetic. It is not a report about a client or a suggested target for a reader with similar measurements.
After conversion, the weight term is 10 × 71.66759446 = 716.6759446. The height term is 6.25 × 175.26 = 1,095.375. The age term is 5 × 35 = 175. Combining them gives 716.6759446 + 1,095.375 − 175 + 5 = 1,642.0509446. The resting result displays as approximately 1,642 kcal/day.
If the same fictional measurements use the published female coefficient, the constant changes from +5 to −161. The resulting estimate is 1,476.0509446 kcal/day. The 166-calorie difference comes from a coefficient in the equation, not from observing either person. The published formula cannot describe every individual variation in body composition or hormonal context.
To audit the example, first reproduce it in UK units. Then switch to metric and check the converted measurements before recalculating. Very small display differences can occur if you manually shorten the converted inputs. Keep more decimal places during a manual check, and round the final answer rather than each term.
An equation has predictable mathematical behaviour. Holding everything else constant, adding one kilogram adds 10 kcal/day to this estimate. Adding one centimetre adds 6.25 kcal/day. Adding one year subtracts 5 kcal/day. These statements describe the formula’s coefficients. They are not a promise that a person’s measured metabolism changes by exactly those amounts.
This difference between a model and a person matters when interpreting a table. A table that varies age while fixing height and weight is an illustration of an equation, not a survey of average people at each age. The small table in the sidebar is labelled accordingly. It should not be used to decide that everyone aged 40 has the same resting expenditure.
| Change to an input | Change to predicted REE | Other inputs |
|---|---|---|
| Weight +1 kg | +10 kcal/day | Held constant |
| Height +1 cm | +6.25 kcal/day | Held constant |
| Age +1 year | −5 kcal/day | Held constant |
| Male to female coefficient | −166 kcal/day | Held constant |
This is also a useful troubleshooting exercise. Change only one input and predict the difference before calculating. If a much larger difference appears, inspect the units, the other fields, and whether you are reading resting energy or an activity-adjusted output.
The activity table applies several multipliers to the same unrounded resting estimate. Using the fictional UK result above, a factor of 1.2 produces approximately 1,970 kcal/day. A factor of 1.55 produces approximately 2,545 kcal/day. These are alternative scenarios created by multiplication; the table has not measured how active the fictional adult is.
That distinction is why the tool does not automatically label the selected result as an eating target. Choosing a factor requires assumptions about a pattern of activity, and a personal nutrition decision requires additional context. The table is useful for seeing sensitivity: a change in one uncertain factor can move the output substantially even when the height, weight, and age stay exactly the same.
If another website reports a different daily estimate, compare its numerical multiplier, not just words such as “light” or “moderate.” Also check whether it adds exercise separately. A workout represented in the activity factor should not simply be counted again without understanding the model. The activity-multiplier guide explains this comparison in more detail.
When a result looks implausible, begin with the input format rather than a health conclusion. Check whether the weight field expects kilograms, total pounds, or a combination of stones and pounds. Check whether height is requested in centimetres or separate feet and inches. Confirm the age and coefficient selection. It is easy to carry a unit assumption from one website into another.
If the calculator refuses an entry, read the field message. The energy tools accept ages 19–78 and enforce basic height and weight boundaries. Those restrictions help prevent obvious input errors and keep the age range aligned with the original study. They do not certify that every accepted combination is clinically suitable. Do not invent a different age or measurement just to get past validation.
If you change an input, the earlier result disappears until you calculate again. This avoids showing a number from an old set of measurements beside new fields. Reset restores a clearly labelled example; it does not retrieve a saved personal profile. The site’s own calculator code does not save your inputs to a server or create a personal history.
For a suspected arithmetic error, make a small, non-identifying example and record the inputs, equation, expected intermediate terms, and displayed result. That gives a reviewer something reproducible. Repeatedly refreshing a page or comparing screenshots without their inputs is unlikely to reveal the cause.
A calculator can implement an equation correctly and still be an unsuitable guide for a particular clinical situation. Its inputs do not include a physical examination, detailed body composition, medication history, pregnancy status, or the circumstances of illness and recovery. A correct sum does not fill in information that the model never collected.
The Mifflin–St Jeor paper describes a resting-energy prediction equation. It does not validate every use to which a modern website might put that number. Calling the output “BMR” for familiarity should not turn it into a diagnosis, a guaranteed daily requirement, or a universal lower boundary for food intake. The quantity estimated here is resting energy expenditure.
Use qualified individual advice for pregnancy, breastfeeding, treatment-related nutrition, or eating-disorder care. If numerical tracking is distressing, stop using the tool rather than trying to perfect the output. The educational value is understanding a method and its limits. It is not a requirement to monitor or control your body through a website.
If you need to discuss a result, keep the assumptions with it. A concise record can include the tool name, calculation date, measurement units, entered values, equation coefficient, resting result, and any activity factor. Write “estimated REE” or “activity scenario” beside the output. This prevents someone reading the note later from mistaking the number for a measured quantity or prescribed diet.
For the fictional example in this article, a clear note would be: “Mifflin–St Jeor; age 35; 11 st 4 lb; 5 ft 9 in; male coefficient; estimated REE approximately 1,642 kcal/day.” If you also write down the 1.55 scenario, label it separately as approximately 2,545 kcal/day and state that the factor was assumed.
Keep such a record only if it serves a useful purpose for you. Do not post private health details publicly to ask a software question. For general calculation checks, the invented examples in the worked-example collection are sufficient.
No. This tool estimates resting energy. It does not prescribe how much to eat or account for your complete health context.
It shows what happens when the same resting estimate is multiplied by different assumed activity factors. The scenarios are not measured requirements.
No. Prediction equations have limits. This tool restricts age to the original study range of 19–78 and does not model pregnancy, breastfeeding, illness, or every body-composition and hormonal context.
Not here. The UK option converts stones, pounds, feet, and inches to metric units, then uses the same published equation as the metric option.
No. The sidebar holds height and weight fixed and changes age to illustrate the equation. It is not a population-average chart.
Equivalent measurements often need decimal places. For example, a whole number of pounds usually does not convert to a whole number of kilograms.
No. An estimated resting expenditure is not a universal minimum intake or a personalised diet recommendation.
The calculator code does not create an account, save a profile, or submit inputs to an application server. The host may require an account to access this private preview.
Do not change real measurements just to pass validation. The tool may not be appropriate for the situation; use a qualified professional where an individual health assessment is needed.
Follow a complete Mifflin–St Jeor example and see exactly what the calculator can—and cannot—tell you.
Read the guide →A practical input checklist with worked conversions for metric, US, and UK forms.
Read the guide →A reproducible practice set for resting energy, activity scenarios, BMI, energy units, and macro totals.
Read the guide →