CalcNest

Health Calculator

BMR Calculator

Estimate how much energy your body uses at rest, compare three established equations and see how activity changes your estimated total daily energy expenditure.

Mifflin–St Jeor Revised Harris–Benedict Optional body-fat method

Your details

Enter your details to estimate resting energy expenditure.

years
kg
cm
ft
in
Body fat percentage Optional
%

Add this only if you have a reasonable estimate. It enables the lean-mass-based Katch–McArdle comparison.

Your BMR estimate will appear here

Enter your age, sex, height and weight. Body fat is optional and is only needed for the Katch–McArdle comparison.

Estimated resting energy
— kcal/day

Mifflin–St Jeor estimate. This is an equation-based estimate of energy use at rest, not a laboratory measurement or a calorie intake recommendation.

Per hour — kcal/hour at the daily average
Per week — kcal/week at the daily estimate

Compare formulas

Estimates can differ
Mifflin–St Jeor Age, height, weight and sex
— kcal
Revised Harris–Benedict Alternative age/height/weight equation
— kcal
Katch–McArdle Add body fat % to calculate
— kcal
Estimated daily energy expenditure

Optional activity adjustment. This is separate from BMR and remains an estimate.

Activity-adjusted estimate — kcal/day
BMR × selected
activity factor
Estimate, not measurement Actual resting energy use varies between people.
Not an intake target BMR alone is not how many calories you should eat.
Adults only This tool is designed for adults aged 18+.
BMR vs daily energy expenditure

BMR estimates resting energy. Activity-adjusted expenditure adds an activity factor to give a broader daily estimate.

Why show several formulas?

Prediction equations make different assumptions. Comparing them makes that uncertainty visible instead of presenting one estimate as exact.

Understanding your result

What does BMR actually mean?

Basal metabolic rate describes the energy your body needs to maintain essential functions while at rest — things such as breathing, circulation and normal cellular activity.

In a laboratory, true BMR is measured under tightly controlled conditions. Online calculators cannot measure your metabolism directly, so they use prediction equations based on characteristics such as weight, height, age and sex.

BMR

Basal metabolic rate is defined under stricter conditions, including rest, fasting and a thermoneutral environment.

RMR / REE

Resting metabolic rate or resting energy expenditure also describes energy use at rest, but measurement conditions are generally less restrictive than for BMR.

TDEE

Total daily energy expenditure goes beyond resting needs by also accounting for activity and other components of daily energy use.

Why does this calculator still say “BMR”?

BMR is the term most people recognise when searching for this type of calculator. Technically, equations such as Mifflin–St Jeor were developed to predict resting energy expenditure. CalcNest labels the result clearly so an equation-based estimate is not confused with a laboratory measurement.

Calculation methodology

Which BMR formulas does CalcNest use?

The calculator shows several established prediction equations rather than hiding the fact that different methods can produce different estimates.

Mifflin–St Jeor Primary estimate
Male: 10W + 6.25H − 5A + 5
Female: 10W + 6.25H − 5A − 161

W is weight in kilograms, H is height in centimetres and A is age in years. The equation was developed from measured resting energy expenditure in 498 adults and is used as CalcNest's main estimate.

Revised Harris–Benedict Comparison estimate
Male: 88.362 + 13.397W + 4.799H − 5.677A
Female: 447.593 + 9.247W + 3.098H − 4.330A

This is the Roza–Shizgal reevaluation of the Harris–Benedict approach. It uses age, height, weight and sex but different coefficients from Mifflin–St Jeor.

Katch–McArdle Available with body-fat input
Lean mass = weight × (1 − body fat % ÷ 100)
Estimate = 370 + (21.6 × lean mass in kg)

This method uses estimated lean body mass instead of age, height and a sex-specific constant. Its usefulness therefore depends heavily on the quality of the body-fat percentage entered.

Why can two formulas sometimes give almost the same answer?

Different equations use different coefficients, but their predicted values can cross or converge for a particular combination of age, height and weight. Similar results for one person do not mean the equations are mathematically identical.

Worked example

BMR calculation example

Take a 30-year-old male who weighs 80 kg and is 180 cm tall. Using the Mifflin–St Jeor equation:

Example profile Mifflin–St Jeor calculation
Illustrative example
Age 30 years
Sex Male
Weight 80 kg
Height 180 cm
Calculation (10 × 80) + (6.25 × 180) − (5 × 30) + 5 = 1,780 kcal/day

This is a predicted resting-energy value. It does not mean this person should consume exactly 1,780 calories per day.

Why estimates differ

What affects resting energy expenditure?

Prediction equations simplify a complex biological process. Some of the differences between people are represented by the calculator's inputs, while others are not.

01
Body size

Larger bodies generally require more energy to maintain their tissues at rest.

02
Body composition

Lean and fat mass contribute differently to energy expenditure, which is why lean-mass-based equations can produce another estimate.

03
Age

Age is included directly in Mifflin–St Jeor and Revised Harris–Benedict prediction equations.

04
Individual variation

An equation cannot capture every physiological difference between people, so the result should be treated as an estimate.

Activity adjustment

BMR is not the same as your daily calorie needs

Your body uses energy for more than basic resting functions. Movement, planned exercise, digestion and other activity contribute to total daily energy expenditure.

The activity selector in the calculator multiplies the primary resting-energy estimate by a commonly used activity factor. That makes the TDEE figure a broader estimate, but it does not turn it into an exact measurement.

Activity categories are especially easy to over- or underestimate. Two people who both describe themselves as “moderately active” may have very different jobs, step counts, training loads and daily routines.

Use BMR and TDEE for different questions

BMR estimates resting energy expenditure. The activity-adjusted TDEE estimate is intended to give broader context for total daily energy use. Neither result is a personalised dietary prescription.

Important limitations

When can a BMR calculator be less reliable?

Prediction equations are useful for estimates, but they are not a substitute for measuring resting energy expenditure or obtaining individual clinical advice.

Unusual body composition

Height-and-weight equations cannot directly see how body weight is divided between different tissues.

Body-fat estimates

Katch–McArdle depends on the body-fat value entered. An inaccurate body-fat estimate produces an inaccurate lean-mass estimate.

Children and teenagers

This CalcNest tool is designed for adults aged 18 and over rather than paediatric energy assessment.

Individual health circumstances

Pregnancy, illness, medications and other circumstances can make a general adult prediction tool inappropriate for individual decisions.

For health or nutrition decisions

If you need an energy estimate because of a medical condition, pregnancy, an eating disorder, significant weight change or another health concern, seek advice from an appropriately qualified health professional rather than relying on a general calculator.

CalcNest methodology

How we calculate and present your result

CalcNest performs the equations directly in your browser. Metric inputs are used by the formulas; imperial height and weight are converted to centimetres and kilograms before calculation.

Mifflin–St Jeor is displayed as the primary resting-energy estimate. Revised Harris–Benedict is shown alongside it so you can see that prediction methods may differ. Katch–McArdle appears when body-fat percentage is supplied.

Results are rounded for readability. The calculator does not use AI to alter the deterministic formula outputs.

Research references

Mifflin MD, St Jeor ST, Hill LA, et al. (1990). A new predictive equation for resting energy expenditure in healthy individuals . American Journal of Clinical Nutrition.

Roza AM, Shizgal HM (1984). The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass . American Journal of Clinical Nutrition.

Definitions of BMR and RMR were cross-checked against published clinical literature describing basal and resting energy expenditure.

Common questions

BMR calculator FAQs

There is no single “good” BMR. Resting energy expenditure varies with characteristics such as body size, age, sex and body composition. The useful question is what an appropriate equation estimates for your inputs, rather than whether your result fits a universal target range.
No. BMR represents estimated energy expenditure at rest and does not include all of the energy used during normal daily activity. It is not, by itself, a personalised calorie-intake recommendation.
BMR relates to energy used for basic functions at rest. TDEE means total daily energy expenditure and includes the broader energy used across the day. CalcNest's TDEE figure applies an activity factor to the primary resting-energy estimate, so it remains an estimate.
No prediction equation is exact for every individual. CalcNest uses Mifflin–St Jeor as its primary general estimate and shows Revised Harris–Benedict as a comparison. If body-fat percentage is entered, Katch–McArdle provides a lean-mass-based estimate. Direct measurement under controlled conditions is different from predicting energy expenditure with an equation.
The equations were developed from different data and use different coefficients for age, height, weight and sex. Their estimates can differ, although for some combinations of inputs they can also be very close.
Katch–McArdle uses lean body mass as its main input. Body-fat percentage is used with body weight to estimate lean mass, so the quality of the result depends partly on the accuracy of the body-fat estimate supplied.

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