What Is the Harris-Benedict Equation?
The Harris-Benedict equations estimate basal metabolic rate (BMR) — calories your body uses at complete rest — from weight, height, age, and sex. James Arthur Harris and Francis Gano Benedict published the original formulas in 1919 after indirect calorimetry studies at the Carnegie Institution. They remain among the most cited BMR equations in nutrition textbooks and software, though modern comparisons often favor updated coefficients (1984 revision) or Mifflin-St Jeor (1990) for general adult populations.
BMR vs RMR vs TDEE
Metric
What it measures
Best use
Metric
What it measures
Best use
Metric
What it measures
Best use
| Metric | What it measures | Best use |
|---|---|---|
| BMR | Resting energy under strict fasting, rest conditions | Baseline metabolism; Harris-Benedict estimates this |
| RMR | Resting energy, less strict lab protocol | Often slightly higher than BMR in practice |
| TDEE | Total daily energy (BMR × activity factor) | Maintenance and goal calorie planning |
Harris-Benedict Formulas Explained
Revised Harris-Benedict (1984) — recommended
Male:
BMR = 88.362 + (13.397 × kg)
+ (4.799 × cm) − (5.677 × age)
Female:
BMR = 447.593 + (9.247 × kg)
+ (3.098 × cm) − (4.330 × age)- kg
- Body weight in kilograms
- cm
- Height in centimeters
- age
- Age in years
Original Harris-Benedict (1919)
Male:
BMR = 66.47 + (13.75 × kg)
+ (5.003 × cm) − (6.755 × age)
Female:
BMR = 655.1 + (9.563 × kg)
+ (1.850 × cm) − (4.676 × age)- kg
- Body weight in kilograms
- cm
- Height in centimeters
- age
- Age in years
Every variable is required. Weight and height increase estimated resting energy; age subtracts from the total; sex-specific constants reflect population-average differences in body composition.
Worked Examples
Adult male — Revised (1984): 30 years, 175 cm, 70 kg
Standard revised Harris-Benedict.
- BMR = 88.362 + (13.397 × 70) + (4.799 × 175) − (5.677 × 30)
- BMR = 88.362 + 937.79 + 839.83 − 170.31 ≈ 1,696 kcal/day
Result: Estimated BMR ≈ 1,696 kcal/day (revised)
Adult female — Original (1919): 30 years, 165 cm, 60 kg
Original coefficients for comparison.
- BMR = 655.1 + (9.563 × 60) + (1.850 × 165) − (4.676 × 30)
- BMR = 655.1 + 573.78 + 305.25 − 140.28 ≈ 1,394 kcal/day
Result: Estimated BMR ≈ 1,394 kcal/day (original)
Original vs Revised Harris-Benedict
Aspect
Original (1919)
Revised (1984)
Aspect
Original (1919)
Revised (1984)
Aspect
Original (1919)
Revised (1984)
Aspect
Original (1919)
Revised (1984)
| Aspect | Original (1919) | Revised (1984) |
|---|---|---|
| Year / source | Harris & Benedict, Carnegie Institution | Roza & Shizgal, Am J Clin Nutr |
| Typical bias vs modern RMR | Often overestimates for many adults today | Closer to measured values; still a population estimate |
| Best use | Historical comparison, education | Default for Harris-Benedict planning |
| Accuracy note | Superseded for most clinical/nutrition use | Mifflin-St Jeor may still outperform in meta-analyses |
How Activity Level Affects Calorie Needs
Level
Multiplier
Example profile
Level
Multiplier
Example profile
Level
Multiplier
Example profile
Level
Multiplier
Example profile
Level
Multiplier
Example profile
| Level | Multiplier | Example profile |
|---|---|---|
| Sedentary | 1.2 | Desk job, minimal walking |
| Lightly Active | 1.375 | Office worker who walks daily |
| Moderately Active | 1.55 | Student with regular gym sessions |
| Very Active | 1.725 | Construction worker or daily hard training |
| Extra Active | 1.9 | Athlete or manual labor plus training |
TDEE = BMR × activity factor. These multipliers approximate daily movement, NEAT, and typical thermic effect of food in one step — not a measured value. Use the Activity Level Quiz if unsure.
Factors That Affect BMR
Harris-Benedict captures weight, height, age, and sex — the strongest predictors available without body-composition data. Individual BMR also shifts with muscle mass, genetics, hormones, sleep, stress, illness, medications, pregnancy, and climate. Equations cannot model all of this; that is why trend-based calibration matters.
Harris-Benedict vs Mifflin-St Jeor
Aspect
Harris-Benedict (revised)
Mifflin-St Jeor
Aspect
Harris-Benedict (revised)
Mifflin-St Jeor
Aspect
Harris-Benedict (revised)
Mifflin-St Jeor
Aspect
Harris-Benedict (revised)
Mifflin-St Jeor
| Aspect | Harris-Benedict (revised) | Mifflin-St Jeor |
|---|---|---|
| Year | 1984 revision of 1919 work | 1990 |
| Research support today | Classic reference; often slightly higher estimates | Frequently recommended default in meta-analyses |
| Frankenfield validation (±10% of measured RMR) | ~67% of adults (2003 cohort; revised equation) | ~78% of adults (2003 cohort); ~82% non-obese / ~70% obese (2005 review) |
| Best use | Historical context, cross-check, education | General adult default without body-fat data |
Harris-Benedict vs Katch-McArdle
Katch-McArdle (lean-body-mass based)
Lean mass (kg) = weight (kg)
× (1 − body fat % / 100)
BMR = 370 + (21.6 × lean mass kg)- kg
- Body weight in kilograms
- BF%
- Body fat percentage (required)
Use Harris-Benedict when you have standard anthropometrics only. Consider Katch-McArdle when you have a reliable body fat percentage (DEXA, hydrostatic weighing) — especially for lean or muscular individuals. Guessed body fat can make Katch less accurate than Harris or Mifflin. Use the Katch-McArdle Calculator when you have a solid body fat estimate, or the Cunningham RMR Calculator when you have direct lean-mass data. For children, teens, and WHO age-band BMR from weight alone, see the Schofield Calculator.
How Accurate Is the Harris-Benedict Equation?
Expect roughly ±10–15% individual variation around any population equation. Frankenfield et al. (2005) found Mifflin-St Jeor matched measured RMR within ~10% for more adults than Harris-Benedict in pooled validation data. In one direct validation study (Frankenfield et al., 2003), the standard Harris-Benedict equation was within ±10% for about 67% of subjects versus about 78% for Mifflin-St Jeor. The original 1919 equation often overestimates compared with modern indirect calorimetry. Treat your result as a starting estimate — verify with 2–3 weeks of consistent intake and weight trend.
TDEE estimate error comes from two stacked layers — and the second is usually bigger in practice.
Layer 1: BMR formula error
Mifflin-St Jeor predicts resting metabolic rate within ~10% for roughly 82% of non-obese adults and ~70% of obese adults (Frankenfield et al., 2005). That is ±150–200 kcal for many people.
Layer 2: Activity multiplier error
Picking one activity bucket too high adds ~200–400 kcal/day. Most people remember gym time but underestimate desk hours. Take our Activity Level Quiz if unsure.
Evidence-Based Metabolism Tips
Resting metabolic rate is influenced by muscle mass, protein intake, sleep, physical activity, and recovery — but no single habit dramatically “fixes” a formula estimate overnight. Resistance training helps preserve lean mass during deficits; adequate protein supports satiety and muscle retention; consistent sleep supports appetite regulation. Use your TDEE or goal calories as a journaling anchor, not a rigid prescription.
Common Mistakes
Mistake
Better approach
Mistake
Better approach
Mistake
Better approach
Mistake
Better approach
| Mistake | Better approach |
|---|---|
| Using Original (1919) for modern planning | Default to Revised (1984); compare variants intentionally |
| Picking too high an activity level | Use conservative level or Activity Quiz; adjust from trends |
| Eating at BMR instead of TDEE | Plan at TDEE or goal-adjusted TDEE for full-day targets |
| Never recalculating after weight change | Recalculate after ~5–10 kg change or major activity shift |
Common Myths vs Facts
Myth
Harris-Benedict is always the most accurate BMR formula.
Evidence-based view
It is classic and useful, but Mifflin-St Jeor often matches measured RMR better in modern comparisons.
Myth
Eating below BMR stops fat loss permanently.
Evidence-based view
Weight change follows energy balance over time; very low intakes may not suit everyone and require professional guidance.
Myth
Original and revised Harris-Benedict give the same answer.
Evidence-based view
Coefficients differ; revised usually yields lower estimates than original for the same inputs.
Interpretation Guide
How to Interpret Your Results
From Harris-Benedict BMR to actionable planning numbers.
Output
Meaning
Next step
Output
Meaning
Next step
Output
Meaning
Next step
Output
Meaning
Next step
| Output | Meaning | Next step |
|---|---|---|
| BMR | Resting energy estimate | Multiply by activity for TDEE |
| TDEE | Maintenance at selected activity | Use for maintain or adjust for goals |
| Goal calories | TDEE adjusted for deficit/surplus | Hand off to macro or deficit tools |
| BMI band | Weight-for-height context | Informational only — not a prescription |
Frequently Asked Questions
Common questions about the harris-benedict calculator.
Research & References
Each citation below supports a specific claim on this page. We explain relevance so you can verify the science yourself.
- National Academies of Sciences, Engineering, and Medicine — Factors Affecting Energy Expenditure and Requirements. Dietary Reference Intakes for Energy — NCBI Bookshelf, 2023.Defines TDEE components (REE, TEF, PAEE) and explains why population equations cannot capture individual metabolic variation.
- Mifflin MD, St Jeor ST, Hill LA, Scott BJ, Daugherty SA, Koh YO — A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990;51(2):241-247, 1990.Primary source for the Mifflin-St Jeor BMR equation used as the default in this calculator.
- Roza AM, Shizgal HM — The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass. Am J Clin Nutr. 1984;40(1):168-182, 1984.Source for the revised Harris-Benedict coefficients — default equation on this calculator page.
- McArdle WD, Katch FI, Katch VL — Exercise Physiology: Energy, Nutrition, and Human Performance. Lippincott Williams & Wilkins, 7th edition, 2010.Textbook reference for the lean-body-mass-based Katch-McArdle resting energy estimate.
- Frankenfield D, Roth-Yousey L, Compher C — Comparison of Predictive Equations for Resting Metabolic Rate in Healthy Nonobese and Obese Adults. J Am Diet Assoc. 2005;105(5):775-789, 2005.Meta-analysis showing Mifflin-St Jeor within ~10% of measured RMR for ~82% of non-obese and ~70% of obese adults — supports honest accuracy framing.
- Frankenfield DC, Rowe WA, Smith JS, Cooney RN — Validation of several established equations for resting metabolic rate in obese and nonobese people. J Am Diet Assoc. 2003;103(9):1152-1159, 2003.Direct validation showing standard Harris-Benedict within ±10% of measured RMR in ~67% of adults vs ~78% for Mifflin-St Jeor in the same cohort.
- Harris JA, Benedict FG — A Biometric Study of Basal Metabolism in Man. Carnegie Institution of Washington Publication No. 279, 1919.Original Harris-Benedict basal metabolism equations (1919) — historical baseline superseded by the 1984 revision for most modern adults.