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Your resting metabolic rate (RMR) is the number of calories your body burns at complete rest — the energy required to keep your heart beating, lungs breathing, brain functioning, and organs operating. Knowing your RMR is the foundation of any nutrition strategy, whether your goal is fat loss, muscle gain, or performance optimization in your home gym.
This calculator uses the Mifflin-St Jeor equation, which research published in the American Journal of Clinical Nutrition has shown to be the most accurate predictive formula for RMR in healthy, non-obese adults. We also compare results against the Harris-Benedict and Katch-McArdle equations so you understand the full picture.
| Input | Value |
|---|---|
| Weight | |
| Height | |
| Age | |
| Sex | |
| Activity Level |
The Mifflin-St Jeor equation was developed in 1990 and has become the clinical standard for estimating RMR. It replaced the older Harris-Benedict equation because multiple validation studies showed it produces fewer large errors across diverse populations.
For men:
RMR = (10 × weight in kg) + (6.25 × height in cm) − (5 × age in years) + 5
For women:
RMR = (10 × weight in kg) + (6.25 × height in cm) − (5 × age in years) − 161
The Mifflin-St Jeor equation was derived from indirect calorimetry data — the gold standard for measuring metabolic rate — collected on 498 healthy adults across a wide range of ages and body compositions. Unlike earlier equations, it accounts for the non-linear relationship between body size and energy expenditure, and it performs well in both lean and overweight individuals.
A 2003 systematic review in the Journal of the American Dietetic Association concluded that the Mifflin-St Jeor equation predicts RMR within 10% of measured values in approximately 82% of healthy adults. No other equation exceeded this accuracy in the studies reviewed.
Your RMR represents only the calories burned at complete rest. To determine your total daily energy expenditure (TDEE), you must multiply RMR by an activity factor that accounts for:
| Activity Level | Multiplier | Description |
|---|---|---|
| Sedentary | 1.2 | Little to no exercise, desk job, drives most places |
| Lightly Active | 1.375 | Light exercise 1–3 days per week, some walking |
| Moderately Active | 1.55 | Moderate exercise 3–5 days per week, active job or lifestyle |
| Very Active | 1.725 | Hard exercise 6–7 days per week, physically demanding job |
| Extremely Active | 1.9 | Very hard exercise daily plus physical job or twice-daily training |
These multipliers are estimates. Individual variation in NEAT can vary by as much as 300–500 calories per day between people of the same size and activity level. Some individuals are naturally more fidgety and active; others conserve energy efficiently.
For home gym athletes training 4–5 days per week with otherwise sedentary jobs, "Moderately Active" (1.55) is typically the most appropriate starting point. If you have an active job (teacher, nurse, construction worker), consider moving up one category.
To lose body fat, you must create a sustained calorie deficit. Research consistently shows that a deficit of 3,500 calories per week (500 per day) produces approximately one pound of fat loss. However, more aggressive deficits can be appropriate for individuals with higher body fat percentages, while leaner individuals should use milder deficits to preserve muscle mass.
Recommended approach:
Building muscle requires a calorie surplus to support the energetic demands of protein synthesis and tissue repair. However, excessively large surpluses result in disproportionate fat gain.
Recommended approach:
At maintenance calories (equal to TDEE), weight remains stable. However, with proper training and adequate protein, body recomposition — simultaneous fat loss and muscle gain — is possible, especially for beginners, individuals returning from a layoff, or those using performance-enhancing drugs.
While the calculator handles the computation, understanding how to calculate RMR manually ensures you can estimate your needs anytime.
The oldest widely-used equation, developed by James Arthur Harris and Francis Gano Benedict at Carnegie Institution.
For men: RMR = 66.5 + (13.75 × weight in kg) + (5.003 × height in cm) − (6.75 × age)
For women: RMR = 655.1 + (9.563 × weight in kg) + (1.850 × height in cm) − (4.676 × age)
Accuracy: Tends to overestimate RMR in modern populations by approximately 5–10%, likely because the original study population had different activity patterns and body compositions than today's sedentary adults. The Mifflin-St Jeor equation produces more accurate predictions in most contemporary populations.
This formula uses lean body mass rather than total body weight, making it theoretically superior for individuals who know their body fat percentage accurately.
RMR = 370 + (21.6 × lean body mass in kg)
Where lean body mass = total weight × (1 − body fat percentage as decimal)
Best for: Athletes, bodybuilders, and lean individuals who have had their body fat measured via DEXA, hydrostatic weighing, or skilled caliper testing.
Limitations: Accuracy depends entirely on accurate body fat assessment. Consumer-grade body fat scales and bioelectrical impedance devices can vary by 3–5%, which translates to significant RMR estimation errors.
| If you... | Use this formula |
|---|---|
| Don't know your body fat percentage | Mifflin-St Jeor |
| Had a DEXA or professional body fat test | Katch-McArdle |
| Are comparing to older research or protocols | Harris-Benedict |
| Want the most validated general prediction | Mifflin-St Jeor |
| Are very lean (<10% men, <18% women) | Katch-McArdle |
| Are significantly overweight | Mifflin-St Jeor (performs better at higher BMIs) |
No predictive equation is perfect. Individual metabolic rates can deviate from predicted values due to:
After significant weight loss (10%+ of body weight), RMR may decrease 5–15% below what equations predict. This metabolic adaptation is well-documented and explains why weight loss plateaus occur. The body defends against weight change through hormonal adjustments (leptin, thyroid hormones, sympathetic nervous system activity) that reduce energy expenditure.
For individuals who have lost substantial weight, consider subtracting an additional 10% from calculated RMR as a starting point, then adjust based on real-world results.
For the most accurate assessment, indirect calorimetry measures oxygen consumption and carbon dioxide production to calculate energy expenditure. Many universities, sports medicine clinics, and some dietitian offices offer this test for $75–$200.
Pre-test protocol typically requires:
Home devices claiming to measure metabolic rate through breath analysis have emerged recently (such as Lumen), but their accuracy compared to clinical indirect calorimetry varies. Check price at Amazon
Regardless of goal, protein intake should be set independently of calorie targets. Research supports 0.7–1.0 gram per pound of body weight (1.6–2.2 g/kg) for individuals engaged in resistance training. During fat loss phases, higher protein (up to 1.2 g/lb) helps preserve lean mass and increases satiety.
Popular apps for tracking intake include:
A simple digital food scale ($10–$20) is the most important tool for accurate tracking. Check price at Amazon
How accurate is the Mifflin-St Jeor equation? Within 10% of measured RMR for approximately 82% of healthy adults. The remaining 18% may deviate more significantly due to individual metabolic variation.
Should I recalculate my RMR after losing weight? Yes. Recalculate every 10–15 pounds lost or gained, as RMR changes with body weight. Failure to adjust calorie targets is a common cause of plateaus.
Does RMR change with training? Resistance training can increase RMR by 5–9% through increased muscle mass, though the effect is modest. A pound of muscle burns approximately 6–7 calories per day at rest, compared to 2–3 calories for a pound of fat.
Why does my weight not change despite eating at calculated TDEE? Water retention from sodium, carbohydrates, hormonal fluctuations, and digestive contents can mask fat loss on the scale. Use weekly weight averages and monthly waist measurements rather than daily scale readings.
Can I use RMR to predict exactly how much I'll lose? No — weight loss is subject to biological variability. The 3,500-calorie-per-pound rule is an approximation. Actual weight loss typically slows over time due to metabolic adaptation and reduced body mass.
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