FFMI Calculator (Fat-Free Mass Index)
This Fat-Free Mass Index (FFMI) calculator finds how much lean mass you carry relative to your height. Since BMI does not differentiate between muscle and fat, a muscular individual and someone who has a great deal more fat can end up with the same BMI. FFMI takes the fat out first, leaving your fat-free mass: muscle, bone, organs, water and other lean tissue. To obtain your FFMI, along with your lean and fat mass and a comparison of your result to the range found in drug-free athletes, enter your height, weight and body fat percentage.
What Is FFMI?
The Fat-Free Mass Index (FFMI) is your lean body mass divided by the square of your height. It is the same arithmetic as BMI, applied to fat-free tissue instead of total body weight. Where BMI tells you how heavy you are for your height, FFMI tells you how muscular you are for your height.
The distinction matters most at the extremes. A 6-foot man weighing 200 lb has a BMI of 27, which reads as "overweight". If he carries 10% body fat, his FFMI is about 24 and he is one of the most muscular men in any room he walks into. If he carries 30% body fat, his FFMI is about 19, completely average, and the two men weigh exactly the same.
The Formula
Two steps: split your weight into lean and fat mass, then divide the lean side by height squared.
FFMI = fat-free mass (kg) ÷ height (m)²
The result is in kg/m², the same units as BMI, and the same number regardless of whether you entered imperial or metric, because the conversion happens before the arithmetic.
Height-Normalized FFMI
Dividing by height squared does not fully cancel out height. Fat-free mass scales faster than the square of stature across a population, so the raw index quietly favours taller people. Kouri and colleagues corrected for this with a linear adjustment to a 1.8 m (5 ft 11 in) reference height:
A 1.7 m man gets about 0.6 added; a 1.9 m man gets about 0.6 taken away. Every published FFMI benchmark you will see quoted, including the natural ceiling below, is on this normalized scale, so it is the figure this calculator leads with.
The Natural Limit
FFMI is best known for one specific result. In 1995, Kouri and colleagues measured 157 male athletes who trained with weights, and found that the 74 who had never used anabolic steroids had a mean normalized FFMI of 21.8, and that only one of them exceeded 25. Steroid users routinely exceeded it. That single observation is where the widely repeated claim of a "natural limit of 25" comes from.
It is a useful benchmark and a bad test. Three things are worth keeping in mind before drawing conclusions from it:
It describes a population, not an individual. One drug-free athlete in Kouri's own sample was above 25. A figure that rare in a group of 74 says something about how unusual a result is, not about how it was achieved.
The sample was small and specific. 74 men, measured in the early 1990s, at one gym population. Genetic outliers exist, and the very tall and the very short are poorly represented in a cohort that size even after normalization.
Your body fat figure drives the answer. This is the big one. Under-report your body fat by five points and your FFMI rises by roughly 1.5 at typical bodyweights. Most people who calculate an implausibly high FFMI have an implausibly low body fat estimate, not an implausible amount of muscle.
Fat Mass Index
The results page also shows your Fat Mass Index (FMI), the same construct applied to the other half of the split: fat mass divided by height squared. FFMI and FMI add up to your BMI exactly, which is the point: they decompose one number that mixes two things into two numbers that each mean something on their own.
FFMI + FMI = BMI
FMI is the more clinically useful of the two. It has been proposed as a replacement for BMI in nutritional assessment precisely because it does not confuse a heavily muscled person with an over-fat one.
Limitations
It inherits your body fat error. FFMI is a derived figure, and a derived figure cannot be more accurate than its inputs. A DEXA-derived body fat percentage gives a meaningful FFMI; a guess gives a guess.
Fat-free mass is not muscle. The lean side of the split includes bone, organs, connective tissue and water. Glycogen and the water bound to it swing several kilograms between a depleted and a carb-loaded state, and every one of those kilograms lands in your fat-free mass.
It says nothing about distribution or function. Two people with identical FFMIs can have very different strength, and very different amounts of that lean mass in the places they care about.
The female bands are extrapolated. Kouri's cohort was men only. No equivalent study established a drug-free ceiling for women, so the female interpretation range on the results page is the male one shifted by the offset seen in general population reference data. Treat it more loosely than the male figures.
Getting a Better Number
The single highest-value thing you can do for the accuracy of your FFMI is improve your body fat estimate. Our Body Fat Calculator works from tape measurements or skinfolds and stores the result, so it flows straight into this page. If you want the muscle side measured directly rather than inferred from a subtraction, our Muscle Mass Calculator estimates skeletal muscle specifically, and our Body Recomposition Calculator uses your FFMI to project how much more you have left to gain.
Further Reading:
- E.M. Kouri, H.G. Pope Jr, D.L. Katz, and P. Oliva compared fat-free mass index in users and nonusers of anabolic-androgenic steroids in the Clinical Journal of Sport Medicine (1995). It is the source of the height normalization used here and of the drug-free ceiling of about 25 that the results page compares against. View
- Y. Schutz, U.G. Kyle, and C. Pichard published fat-free mass index and fat mass index percentiles for Caucasians aged 18–98 in the International Journal of Obesity (2002), which is where the general-population end of the interpretation table comes from. View
- U.G. Kyle, Y. Schutz, Y.M. Dupertuis, and C. Pichard set out the case for interpreting body composition through the fat-free mass index and the body fat mass index in Nutrition (2003), including the offset between men and women that the female bands here are derived from. View
- T.B. VanItallie, M.U. Yang, S.B. Heymsfield, R.C. Funk, and R.A. Boileau introduced height-normalized indices of fat-free mass and fat mass as indicators of nutritional status in The American Journal of Clinical Nutrition (1990), the paper that established the construct these indices are built on. View