What Is the Mifflin-St Jeor Equation?
Published in 1990 by Mifflin, St Jeor, and colleagues, this equation estimates resting energy expenditure (REE/BMR) from weight, height, age, and sex. It was derived from indirect calorimetry in 498 healthy adults and is widely used as a default BMR formula in nutrition software and clinical references. Frankenfield et al. (2005) found it within ~10% of measured RMR for roughly 82% of non-obese adults and ~70% of obese adults — better than many older equations, though still a population estimate, not your measured metabolic rate. Mifflin is validated mainly in adults — for ages under 15 or WHO age-band workflows, use the Schofield Calculator. When height is unknown, the weight-only Owen Calculator (1986/1987) offers a simple RMR alternative. For all seven equations with auto-select and TDEE, see the REE Calculator.
The Mifflin-St Jeor Formula
Mifflin-St Jeor (1990)
Male:
BMR = (10 × kg) + (6.25 × cm)
− (5 × age) + 5
Female:
BMR = (10 × kg) + (6.25 × cm)
− (5 × age) − 161- kg
- Body weight in kilograms
- cm
- Height in centimeters
- age
- Age in years
Every variable is required: weight and height scale resting metabolism, age captures gradual decline, and the sex constant (+5 men / −161 women) reflects average body-composition differences at the population level.
How the Formula Works
Term
Effect on BMR
Note
Term
Effect on BMR
Note
Term
Effect on BMR
Note
Term
Effect on BMR
Note
| Term | Effect on BMR | Note |
|---|---|---|
| 10 × weight (kg) | Larger bodies need more energy | Largest positive driver for most adults |
| 6.25 × height (cm) | Taller frames add REE | Reflects organ and surface-area scaling |
| −5 × age | Gradual decline with age | Partly reflects lean-mass changes |
| Sex constant | +5 (men) / −161 (women) | Population average, not individual destiny |
Your calculator results show these contributions as bars — useful for understanding how weight, height, age, and sex combine in your estimate.
Worked Examples
Adult male: 35 years, 180 cm, 80 kg
Standard Mifflin-St Jeor.
- BMR = (10 × 80) + (6.25 × 180) − (5 × 35) + 5
- BMR = 800 + 1,125 − 175 + 5 = 1,755 kcal/day
Result: Estimated BMR ≈ 1,755 kcal/day
Adult female: 30 years, 165 cm, 62 kg
Standard Mifflin-St Jeor.
- BMR = (10 × 62) + (6.25 × 165) − (5 × 30) − 161
- BMR = 620 + 1,031 − 150 − 161 = 1,340 kcal/day
Result: Estimated BMR ≈ 1,340 kcal/day
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 conditions | Baseline; Mifflin estimates this |
| RMR | Resting energy, less strict protocol | Often 3–10% higher than BMR in labs |
| TDEE | Total daily energy (BMR × activity factor) | Daily calorie planning; multipliers embed typical activity + TEF |
Activity Multipliers
TDEE ≈ BMR × activity factor. Standard multipliers (1.2–1.9) are simplified planning values that approximate activity, NEAT, and typical thermic effect of food — not a separate TEF add-on. Pick the level that matches an average week — not your most active day. When unsure, use the Activity Level Quiz for a precise multiplier.
Level
Factor
Real-life example
Level
Factor
Real-life example
Level
Factor
Real-life example
Level
Factor
Real-life example
Level
Factor
Real-life example
| Level | Factor | Real-life example |
|---|---|---|
| Sedentary | 1.2 | Desk job, little formal exercise |
| Lightly Active | 1.375 | Light exercise 1–3 days/week |
| Moderately Active | 1.55 | Moderate exercise 3–5 days/week |
| Very Active | 1.725 | Hard training 6–7 days/week |
| Extra Active | 1.9 | Physical job + daily hard training |
Mifflin-St Jeor vs Harris-Benedict
Aspect
Mifflin-St Jeor
Harris-Benedict (1984)
Aspect
Mifflin-St Jeor
Harris-Benedict (1984)
Aspect
Mifflin-St Jeor
Harris-Benedict (1984)
Aspect
Mifflin-St Jeor
Harris-Benedict (1984)
| Aspect | Mifflin-St Jeor | Harris-Benedict (1984) |
|---|---|---|
| Year / population | 1990; 498 healthy adults | 1984 revision of 1919 equation |
| Typical accuracy | Within ~10% for many adults (Frankenfield 2005) | Often slightly higher; useful cross-check |
| Best use | Default when BF% unknown | Comparison when formulas diverge >100 kcal |
| Limitation | Does not use body composition | Same — total weight only |
Mifflin-St Jeor vs Katch-McArdle
Katch-McArdle uses lean body mass (from body fat %) and can be more appropriate when composition is far from average — but only with a reliable body-fat measurement. See the Katch-McArdle Calculator for Navy estimation, LBM breakdown, and TDEE planning. If your assessment already lists lean mass, the Cunningham RMR Calculator accepts direct LBM entry.
Katch-McArdle
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)
Shown in results only when you enter body fat %.
Profile
Often better starting point
Profile
Often better starting point
Profile
Often better starting point
Profile
Often better starting point
| Profile | Often better starting point |
|---|---|
| General population, BF% unknown | Mifflin-St Jeor |
| Lean / muscular athlete with known BF% | Consider Katch-McArdle |
| Higher body fat, BF% from DEXA or reliable method | Katch may reduce overestimate from fat mass |
| Guessed body fat % | Stick with Mifflin — bad BF% hurts Katch |
Accuracy & Error Sources
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.
- Individual thyroid, medication, and illness effects are not modeled.
- Activity self-report is often a larger error source than the BMR equation itself.
- Recalculate after ~5–10 kg (10–15 lb) weight change or every 4–6 weeks.
Factors Affecting BMR
- Age — gradual decline; captured by the −5 × age term.
- Body size & composition — more lean mass generally means higher REE.
- Sex — population constant; individual variation still large.
- Genetics & hormones — not in the equation; part of individual spread.
- Sleep, stress, illness — can shift expenditure temporarily.
- Diet history — prolonged very-low intake may affect measured REE over time.
Supporting Metabolic Health
No food or habit permanently "fixes" a slow metabolism in the way marketing often claims. Evidence-supported habits that help maintain lean mass and daily expenditure include:
- Resistance training to preserve muscle during fat loss.
- Adequate protein (often ~1.6–2.2 g/kg/day for many active adults — see macro tool).
- Regular daily movement (NEAT) beyond structured gym sessions.
- Consistent sleep and recovery.
- Hydration and balanced energy intake over crash dieting.
Common Mistakes
Myth
BMR is my daily calorie target.
Evidence-based view
Most people need TDEE (BMR × activity) or higher. Eating at BMR alone is usually below maintenance.
Myth
Pick the highest activity level to avoid under-eating.
Evidence-based view
Overestimating activity adds 200–400+ kcal/day. Start conservative and adjust from weight trends.
Myth
The formula should be exact.
Evidence-based view
±10% individual variation is normal. Use 2–3 weeks of tracking to calibrate.
Myth
Mifflin works perfectly for every body.
Evidence-based view
Very high BMI, older adults, and atypical composition may need Katch-McArdle or trend-based verification.
How to Interpret Your Results
From 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 table | Maintenance at each activity tier | Pick realistic level; use quiz if unsure |
| 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 |
Safety & Limitations
Suggested next steps
BEE Calculator
Basal energy + seven-equation hub
Fat-Free Mass Calculator
Body-fat-first FFM & FFMI
Lean Body Mass Calculator
Boer, James, Hume when BF% unknown
RMR Calculator
RMR hub + fixed kcal & macros
REE Calculator
All 7 equations + auto-select
TDEE Calculator
Full pipeline with macros
Maintenance Calculator
Focused maintenance estimate
Deficit Calculator
Compare deficit options
Surplus Calculator
Bulking presets and weekly gain goals
Macro Calculator
Protein, fat, carb grams
BMR Calculator
Multi-formula comparison tool
Harris-Benedict Calculator
1919 and 1984 Harris-Benedict BMR
Methodology
All coefficients and sources
Frequently Asked Questions
Common questions about the mifflin-st jeor calculator.
What is the Mifflin-St Jeor equation?
What is the Mifflin-St Jeor formula for men?
What is the Mifflin-St Jeor formula for women?
Why do men and women have different constants?
How accurate is Mifflin-St Jeor?
Is Mifflin-St Jeor better than Harris-Benedict?
When should I use Katch-McArdle instead?
What is BMR vs TDEE?
Should I eat at my BMR?
What activity multiplier should I use?
What are goal calories in the results?
What does the TDEE table show?
What is the variable breakdown?
What is the BMI card?
Does age lower BMR in the formula?
Who should not rely on Mifflin-St Jeor alone?
How often should I recalculate?
Can I apply results to other calculators?
Does this store my data?
How is this different from the BMR Calculator?
Is this medical advice?
What is the ±10% BMR range?
Why does my Mifflin BMR differ from another website?
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.
- O'Neill JER, Corish CA, Horner K — Accuracy of Resting Metabolic Rate Prediction Equations in Athletes: A Systematic Review with Meta-analysis. Sports Med. 2023;53(12):2373-2398, 2023.Athlete systematic review and meta-analysis — several common equations including Mifflin-St Jeor and Owen differed significantly from measured RMR in pooled athlete data; lean-mass equations (e.g., Cunningham 1980) and Ten-Haaf performed differently by population, with no single best equation for all athletes.