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BMR Equations Compared

Two formulas have dominated calorie calculation: Harris-Benedict (1919) and Mifflin-St Jeor (1990). Here's which one to trust.

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Medical Review: This article was written and reviewed in accordance with clinical nutrition guidelines (2026). Evidence-based content.

When you use a Calorie Calculator or any Calorie Calculator, the underlying math matters. Two equations have dominated for decades. Here's how they compare.

The Mifflin-St Jeor equation (current standard)

Illustration of a flame representing basal metabolic rate and resting energy expenditure.

Published in 1990, this formula was developed using modern metabolic data from 247 healthy adults. It outperformed Harris-Benedict by cutting prediction error and better matching measured metabolic rates across diverse populations:

EquationFormula
MenBMR = 10 × weight(kg) + 6.25 × height(cm) - 5 × age + 5
WomenBMR = 10 × weight(kg) + 6.25 × height(cm) - 5 × age - 161

Calorie Calculator uses this equation exclusively.

Deeper dive: Mifflin-St Jeor vs. Harris-Benedict

Mifflin-St Jeor is more accurate for several reasons:

  • It uses a larger, more diverse sample than Harris-Benedict's original 1919 cohort.
  • It was calibrated against indirect calorimetry, a direct measurement of oxygen consumption and carbon dioxide production.
  • It simplifies the equation to fewer variables while improving accuracy.
  • It has been validated across multiple follow-up studies in different countries and populations.

The Harris-Benedict equation (historical)

Published in 1919, this was the original formula for estimating metabolic rate. It was groundbreaking for its time but relies on data from a narrow, mostly male, mostly young sample. Modern lifestyle changes — higher body weights, different diets, less manual labor — have made it less accurate for today's population:

EquationFormula
MenBMR = 88.362 + 13.397 × weight(kg) + 4.796 × height(cm) - 5.677 × age
WomenBMR = 447.593 + 9.247 × weight(kg) + 3.098 × height(cm) - 4.330 × age

Revised Harris-Benedict (1984)

In 1984, Roza and Shizgal revised the Harris-Benedict equations using updated data. The revised formulas are slightly more accurate than the original but still fall short of Mifflin-St Jeor:

EquationFormula
MenBMR = 88.362 + 13.397 × weight(kg) + 4.799 × height(cm) - 5.677 × age
WomenBMR = 447.593 + 9.247 × weight(kg) + 3.098 × height(cm) - 4.330 × age

Accuracy comparison study results

EquationAccuracy vs measuredTypical error
Mifflin-St Jeor~85–90%±10–15%
Harris-Benedict~70–80%±15–25%
Revised Harris-Benedict (1984)~75–85%±12–20%

When Mifflin-St Jeor may not be accurate

Mifflin-St Jeor is the best general-purpose equation, but there are situations where it may deviate from your true BMR:

  • Very lean athletes: high muscle mass and low body fat can lead to underestimation
  • Severe obesity: adipose tissue is less metabolically active than lean tissue
  • Clinical conditions: thyroid disorders, burns, sepsis, or severe trauma alter metabolism dramatically
  • Pregnancy and lactation: BMR increases significantly; specialized equations exist
  • Extreme age: very young children and very elderly adults may fall outside the validation range

In these cases, indirect calorimetry in a clinical setting is widely regarded as a reliable method, or you can use an equation that incorporates body fat percentage such as Katch-McArdle.

Practical guidance on choosing equations

For everyday calorie planning:

  • Use Mifflin-St Jeor if you do not know your body fat percentage.
  • Use Katch-McArdle if you know your body fat percentage and are relatively lean.
  • Use Harris-Benedict only for historical comparisons or if your clinician specifically requests it.
  • Always verify with real-world tracking for 2–3 weeks, regardless of which equation you choose.

How equations affect your calorie results

With similar inputs, the equations often differ by 200–500 calories. This difference matters for weight goals. For example:

  • 30-year-old woman, 65 kg, 165 cm: Mifflin-St Jeor ~1,400; Harris-Benedict ~1,500
  • 40-year-old man, 80 kg, 180 cm: Mifflin-St Jeor ~1,820; Harris-Benedict ~2,000

Links to calculators and tools

Best practice: Use Mifflin-St Jeor

The scientific consensus favors Mifflin-St Jeor for everyday use. Our calorie calculator uses it, ensuring your maintenance calories and weight goals are based on the highly regarded formula.

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Medical & Scientific References

Frequently asked questions

What is the Harris-Benedict equation?

The Harris-Benedict equation (1919) was the first formula to estimate BMR from height, weight, age, and sex. It has been largely superseded by Mifflin-St Jeor for better accuracy.

Is Mifflin-St Jeor better than Harris-Benedict?

Research shows Mifflin-St Jeor is 85–90% accurate versus 70–80% for Harris-Benedict. We use Mifflin-St Jeor in our calorie calculator.

What are the BMR equations?

Mifflin-St Jeor: Men BMR=10×weight+6.25×height-5×age+5; Women BMR=10×weight+6.25×height-5×age-161. Harris-Benedict is older and less accurate.

Why was Harris-Benedict replaced?

Harris-Benedict overestimates metabolic rate in modern populations. Mifflin-St Jeor was developed using more recent data and shows better correlation with measured values.

Which BMR equation should I use?

Can I use Harris-Benedict if I want?

You can, but expect results that are 200–500 calories higher than Mifflin-St Jeor for the same inputs. This often leads to eating above your true maintenance and gradual weight gain.

Are there BMR equations other than Mifflin-St Jeor and Harris-Benedict?

Yes. Katch-McArdle uses lean body mass and is ideal if you know your body fat percentage. Cunningham is similar but uses a slightly different constant. For most people, Mifflin-St Jeor is the best choice.

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Advanced Practitioner Notes on Metabolic Health

While the mathematical formulas and generalized guidelines provided above serve as an excellent starting point, true metabolic health is highly individualized. The equations we use—such as the Mifflin-St Jeor or Harris-Benedict—were developed by studying population averages. They represent a baseline estimate of your body's energy expenditure. However, your actual daily energy needs can fluctuate based on numerous highly specific physiological factors.

For example, your Non-Exercise Activity Thermogenesis (NEAT)—the energy you burn through subconscious movements like fidgeting, maintaining posture, or casual walking—can vary by hundreds of calories from day to day. A person who works a highly active job will naturally have a significantly higher metabolic baseline than someone who is sedentary, even if their age, weight, and height are identical.

Furthermore, metabolic adaptation is a real phenomenon. When you remain in a caloric deficit for an extended period, your body intuitively attempts to conserve energy. This evolutionary survival mechanism means that as you lose weight, your Basal Metabolic Rate (BMR) slightly decreases, and you may unconsciously reduce your NEAT. This is why a caloric intake that caused weight loss initially may eventually become your new maintenance level, requiring a strategic diet break or further caloric adjustment.

Similarly, when in a caloric surplus (bulking), some individuals experience an upregulation in NEAT. Their bodies spontaneously burn off a portion of the excess calories through increased heat production and subconscious movement. This explains why some people struggle to gain weight even when they believe they are eating a significant surplus.

The Role of Nutrient Density

Finally, we must emphasize that while energy balance (calories in versus calories out) dictates changes in mass, macronutrient distribution dictates changes in body composition, and micronutrient density dictates overall physiological function. Consuming 2,000 calories of ultra-processed foods will yield vastly different long-term health outcomes, hormonal profiles, and energy levels than consuming 2,000 calories of whole, nutrient-dense foods. We strongly advocate utilizing these mathematical guidelines as tools within a broader framework of holistic, sustainable nutrition.

Advanced Practitioner Notes on Metabolic Health

While the mathematical formulas and generalized guidelines provided above serve as an excellent starting point, true metabolic health is highly individualized. The equations we use—such as the Mifflin-St Jeor or Harris-Benedict—were developed by studying population averages. They represent a baseline estimate of your body's energy expenditure. However, your actual daily energy needs can fluctuate based on numerous highly specific physiological factors.

For example, your Non-Exercise Activity Thermogenesis (NEAT)—the energy you burn through subconscious movements like fidgeting, maintaining posture, or casual walking—can vary by hundreds of calories from day to day. A person who works a highly active job will naturally have a significantly higher metabolic baseline than someone who is sedentary, even if their age, weight, and height are identical.

Furthermore, metabolic adaptation is a real phenomenon. When you remain in a caloric deficit for an extended period, your body intuitively attempts to conserve energy. This evolutionary survival mechanism means that as you lose weight, your Basal Metabolic Rate (BMR) slightly decreases, and you may unconsciously reduce your NEAT. This is why a caloric intake that caused weight loss initially may eventually become your new maintenance level, requiring a strategic diet break or further caloric adjustment.

Similarly, when in a caloric surplus (bulking), some individuals experience an upregulation in NEAT. Their bodies spontaneously burn off a portion of the excess calories through increased heat production and subconscious movement. This explains why some people struggle to gain weight even when they believe they are eating a significant surplus.

The Role of Nutrient Density

Finally, we must emphasize that while energy balance (calories in versus calories out) dictates changes in mass, macronutrient distribution dictates changes in body composition, and micronutrient density dictates overall physiological function. Consuming 2,000 calories of ultra-processed foods will yield vastly different long-term health outcomes, hormonal profiles, and energy levels than consuming 2,000 calories of whole, nutrient-dense foods. We strongly advocate utilizing these mathematical guidelines as tools within a broader framework of holistic, sustainable nutrition.