Health & Fitness

How FFMI Is Calculated

How Fat-Free Mass Index is calculated, with sex-specific categories, height normalization, and natural muscle limits from the Kouri 1995 study.

Verified against Kouri et al. (1995) — Fat-free mass index in users and nonusers of anabolic-androgenic steroids on 15 Feb 2026 Updated 15 February 2026 4 min read
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Fat-Free Mass Index (FFMI) measures how much lean (non-fat) mass you carry relative to your height — like BMI but for muscle tissue only. It was introduced by VanItallie et al. (1990) and popularised by Kouri et al. (1995), whose landmark study found that an FFMI above 25 in men was not observed in drug-free athletes.

Come funziona

FFMI starts with your lean body mass — total weight minus fat. It then divides by height squared, just like BMI. The result tells you how much muscle per unit of height you carry.

Because taller people naturally spread the same muscle over a larger frame, a height-normalised version adjusts the score to what it would be at a standard height of 1.80 m. This lets you compare people of different heights fairly.

The normalised value is what most FFMI calculators report, and it’s what the Kouri study used to establish the natural limit of approximately 25 in men.

La formula

FFMI = Lean Mass (kg) ÷ Height² (m²)

Where

Lean Mass= Weight × (1 − Body Fat % ÷ 100)
Height= Height in metres

Normalised FFMI (height-adjusted)

Normalised FFMI = FFMI + 6.3 × (1.8 − Height in m)

Where

6.3= Height correction constant from Kouri et al. (1995)
1.8= Reference height in metres (180 cm)

At exactly 180 cm the adjustment is zero. Shorter people get a positive adjustment; taller people get a negative one.

Male FFMI categories

FFMI rangeCategory
Below 18Below average
18 – 19.9Average
20 – 21.9Above average
22 – 22.9Excellent
23 – 24.9Superior
25+Suspicious — above natural limit (Kouri et al.)

Female FFMI categories

FFMI rangeCategory
Below 14Below average
14 – 15.9Average
16 – 17.9Above average
18 – 18.9Excellent
19 – 20.9Superior
21+Suspicious — above likely natural limit

Female thresholds are approximately 4 units lower than male thresholds, reflecting sex differences in lean mass distribution.

Esempio pratico

Male, 90 kg, 175 cm, 10% body fat

1

Calculate lean mass

90 × (1 − 10/100) = 90 × 0.9 = 81 kg

= 81 kg

2

Calculate FFMI

81 ÷ 1.75² = 81 ÷ 3.0625 = 26.45

= 26.45

3

Normalise for height

26.45 + 6.3 × (1.8 − 1.75) = 26.45 + 0.315 = 26.76

= 26.76

4

Classify

FFMI 26.45 ≥ 25 → Suspicious

= Suspicious

Result

FFMI = 26.4, Normalised FFMI = 26.8 — Suspicious (above natural limit)

Input spiegati

  • Height — in cm (metric) or feet/inches (imperial). Converted to metres internally.
  • Weight — in kg (metric) or lbs (imperial). Converted to kg internally.
  • Body fat % — estimated body fat percentage. Can be measured via calipers, DEXA scan, or estimated from other calculators.
  • Sex — determines which category thresholds are applied.

Output spiegati

  • FFMI — your raw Fat-Free Mass Index score. This is the primary metric.
  • Normalised FFMI — FFMI adjusted to a 180 cm reference height. Use this for comparing yourself against published benchmarks.
  • Category — where you fall in the sex-specific classification range.
  • Lean mass — your total weight minus fat mass.
  • Fat mass — your total body fat weight.

Ipotesi e limitazioni

  • Requires accurate body fat %. FFMI is only as accurate as your body fat estimate. DEXA scans are the gold standard; visual estimates or online calculators are rough approximations.
  • The 25 limit is a guideline, not a law. Kouri’s study included 74 drug-free athletes. Some exceptionally gifted individuals may naturally exceed 25, though it’s rare.
  • Female thresholds are less well-studied. The Kouri study focused on men. Female thresholds are extrapolated from limited data and general population studies.
  • Does not account for frame size. A person with a naturally wider frame may carry more lean mass at the same FFMI.
  • Normalisation assumes a linear height–FFMI relationship. The 6.3 correction is an empirical approximation, not a physiological law.

Verifica

Test caseWeight (kg)Height (cm)BF%SexExpected FFMINormalised FFMICategory
Average male8018015Male20.9920.99Above average
Muscular male9017510Male26.4526.76Suspicious
Average female6016525Female16.5317.47Above average
Light male6018020Male14.8114.81Below average
Athletic female62.9616520Female18.5019.42Excellent

All FFMI values verified by manual calculation. Normalised values use 6.3 constant per Kouri et al. (1995).

Sources

ffmi fat-free-mass-index muscle body-composition natural-limit