What Is Fat-Free Mass (FFM)?

Fat-free mass (FFM) is total body weight minus extractable fat. It includes skeletal muscle, bone, organs, connective tissue, and body water — not muscle alone. In research and clinical settings, FFM is often measured or estimated from body fat percentage; in fitness tools, the same math is applied when you enter weight and BF%.

FFM vs Lean Body Mass (LBM)

Term

Fat-free mass (FFM)

Definition

All mass except extractable fat

On this site

Primary result when body fat % is entered

Term

Lean body mass (LBM)

Definition

Often includes essential fat (~2–5% men, ~8–12% women in classic definitions)

On this site

Boer comparison row + link to LBM hub for height/weight formulas

Term

Skeletal muscle mass

Definition

Muscle tissue only — a subset of FFM

On this site

Not calculated — cannot be isolated reliably from BF% alone

Fitness articles often use LBM and FFM interchangeably. When derived from body fat %, this calculator reports FFM using the standard formula below — and shows a Boer LBM estimate for comparison. Boer can differ by several kilograms from BF%-based FFM because it ignores your measured composition, not only because of essential-fat definitions.

How This Calculator Works

1

Inputs

Sex, height, weight

2

Body fat

DEXA, BIA, calipers, Navy, etc.

3

FFM

weight × (1 − BF%)

4

Context

FFMI, Boer LBM, BMI

5

Plan

RMR preview + TDEE links

DEXA: 80 kg at 16% body fat

Lab-reported body fat percentage.

  1. FFM = 80 × (1 − 0.16) = 67.2 kg
  2. Fat mass = 80 − 67.2 = 12.8 kg
  3. FFMI (180 cm) ≈ 20.7 kg/m²

Result: Primary FFM — same math for all BF% sources

US Navy circumferences

Field estimate when lab data unavailable.

  1. Navy formula → estimated BF%
  2. FFM = weight × (1 − Navy BF%/100)
  3. Wider error than DEXA — use for trends

Result: Convenient field method, not lab precision

FFM Formula Explained

Fat-free mass from body fat %

FFM (kg) = weight (kg)
    × (1 − body fat % / 100)

Fat mass (kg) = weight (kg) − FFM

Same math for DEXA, BIA, calipers,
hydrostatic, Bod Pod, manual, or
Navy-estimated body fat %.
kg
Body weight in kilograms
BF%
Body fat percentage

Fat-free mass index (FFMI)

FFMI = FFM (kg) ÷ height (m)²

Example: 67.2 kg FFM, 180 cm tall
  height = 1.80 m
  FFMI = 67.2 ÷ (1.80)² ≈ 20.7 kg/m²

For context only — not a medical diagnosis.
FFM
Fat-free mass in kilograms
m
Height in meters

Body Composition Assessment Methods

Method

DEXA

Typical use

Research/clinical reference

Limitation

±1–3% BF under ideal conditions; not perfect for individuals

Method

Hydrostatic / Bod Pod

Typical use

Lab reference

Limitation

Protocol-dependent; access limited

Method

Skilled calipers

Typical use

Field tracking

Limitation

Operator skill affects results

Method

BIA (smart scales)

Typical use

Home trends

Limitation

Hydration shifts readings

Method

US Navy circumferences

Typical use

Military field estimate

Limitation

Wider error than lab; convenient

All methods feed the same FFM formula once you have a body fat % — the difference is measurement quality, not the math. Do not compare DEXA and Navy results as if they use different FFM equations.

Why Fat-Free Mass Matters

Metabolically active tissue drives resting energy more than stored fat. Katch-McArdle and Cunningham estimate resting calories from lean/FFM-based inputs. Protein for gym goals on this site uses total body weight (ISSN/Morton ranges) — clinical dosing sometimes references FFM/LBM separately.

Katch-McArdle preview

Lean mass (kg) = weight (kg)
    × (1 − body fat % / 100)

BMR = 370 + (21.6 × lean mass kg)
LBM
From FFM or BF% path

Cunningham preview

RMR = 500 + (22 × lean mass kg)

Lean mass can be entered directly, or:
  lean mass = weight (kg) × (1 − body fat % / 100)
LBM
Lean mass in kg

How to Increase Fat-Free Mass

Sustainable FFM gain combines progressive resistance training, adequate protein (~1.6 g/kg/day per Morton et al. 2018 for many lifters), sleep, and often a modest surplus — not unlimited overeating. Scale weight and FFM change slowly; this calculator does not predict muscle vs fat partitioning. See the Calorie Surplus Calculator for lean-bulk planning.

FFM vs FFMI vs BMI

Metric

FFM (kg)

What it reflects

Absolute fat-free tissue mass

Limitation

Depends on BF% measurement quality

Metric

FFMI

What it reflects

FFM normalized for height

Limitation

Context only — not diagnostic

Metric

BMI

What it reflects

Weight vs height

Limitation

No composition — two people same BMI differ in FFM

Accuracy and Limitations

DEXA and hydrostatic weighing are common reference methods. Body fat from DEXA may be within roughly ±1–3% under ideal scan conditions, but FFM derived from any single BF% estimate remains an approximation — especially with BIA or Navy field methods. O'Neill et al. (2023) reminds us that resting-energy equations also vary by athlete population once composition is known.

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.

Common Mistakes

  • Mixing measurement methods — DEXA vs Navy vs scale BIA are not interchangeable as ground truth.
  • Equating FFM and LBM — use the LBM Calculator for height/weight anthropometric estimates.
  • Using RMR as TDEE — multiply by activity in REE or RMR tools.

Myths vs Facts

Myth

This calculator measures your muscle mass.

Evidence-based view

It estimates total fat-free mass from body fat % — muscle is only part of FFM.

Myth

DEXA FFM is always exact.

Evidence-based view

DEXA is a reference method with protocol limits; treat as high-quality estimate, not infallible truth.

Myth

FFMI diagnoses steroid use or health status.

Evidence-based view

FFMI normalizes leanness for height — descriptive context only.

Myth

You need a separate FFMI calculator.

Evidence-based view

This page shows FFMI inline when height and FFM are available.

Frequently Asked Questions

Common questions about the fat-free mass calculator.

Research & References

Each citation below supports a specific claim on this page. We explain relevance so you can verify the science yourself.

  1. McArdle WD, Katch FI, Katch VLExercise 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.
  2. Jager R, Kerksick CM, Campbell BI, et al.International Society of Sports Nutrition Position Stand: Protein and Exercise. J Int Soc Sports Nutr. 2017;14:20, 2017.Supports 1.6–2.2 g/kg/day protein ranges for many exercising adults — basis for protein and macro guidance.
  3. Morton RW, Murphy KT, McKellar SR, et al.A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376-384, 2018.Meta-analysis finding ~1.6 g/kg/day as an inflection point for muscle gain — supports protein calculator ranges.
  4. O'Neill JER, Corish CA, Horner KAccuracy 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.
  5. Cunningham JJA reanalysis of the factors influencing basal metabolic rate in normal adults. Am J Clin Nutr. 1980;33(11):2372-2374, 1980.Primary source for the Cunningham equation (500 + 22 × lean body mass kg). Cunningham’s paper labels the output BMR; the 1980 reanalysis of Harris-Benedict (1919) data found LBM as the single predictor, with sex and age adding little once LBM was included.
  6. de Boer PEstimated lean body mass as an index for normalization of body fluid volumes in humans. Am J Physiol. 1984;247(4 Pt 2):F632-F636, 1984.Primary source for the Boer (1984) sex-specific anthropometric lean body mass equations — widely used in pharmacology and clinical normalization.
  7. James WPTResearch on obesity: a report of the DHSS/MRC group. HM Stationery Office, London. ISBN 0114500347, 1976.DHSS/MRC report containing the sex-specific quadratic LBM equations commonly cited as James (1976) in nutrition and clinical tools; some pharmacology sources attribute the quadratic form to work cited within the report (e.g., Eddy).
  8. Hume RPrediction of lean body mass from height and weight. J Clin Pathol. 1966;19(4):389-392, 1966.Classic linear sex-specific anthropometric lean body mass prediction — older than Boer/James; useful for comparison but often diverges from modern DEXA cohorts.
  9. Hodgdon JA, Beckett MBPrediction of percent body fat for U.S. Navy men from body circumferences and height. Naval Health Research Center Technical Report 84-11, 1984; companion report 84-29 for women, 1984.IOM/NAP summary documents the Hodgdon & Beckett (1984) U.S. Navy circumference body-fat equations (NHRC reports 84-11 and 84-29) used when Navy body fat % is selected in this calculator.