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Relative Fat Mass Calculator

Updated Oct 2026
Select the coefficient set used by the published equation; this field does not define gender identity.
Measure without shoes.
Use a consistent documented waist measurement site.

Guest calculations stay on this device. Signed-in results sync privately.

Your result

Estimated relative fat mass

Enter your values, then calculate to see a verified result.

Inputs usedReview the information used for this result.
Full calculation and sourcesReview the equation, normalized inputs, assumptions, and version.

Versioned calculationFormula v1.0.0

Formula definitionUnit-normalized calculationFormula v1.0.0

What is estimated

Adult body-fat percentage from height, waist circumference, and the published sex-specific term.

Method

The 2018 RFM equation uses height and waist in the same unit and does not use body weight.

Important boundary

RFM is a population-derived estimate. It is not DXA and has not been equally validated for every age, ethnicity, pregnancy state, or body type.

Result actions
1
Normalize height and waistUse the same unit for both dimensions.175 cm and 85 cm
2
Calculate the ratio termMultiply height divided by waist by 20.20 x 175 / 85
3
Apply the equation termUse the published 0 or 12 coefficient term.Male term 0; female term 12

Interpretation

% is the equation-based adult body-fat estimate.

Waist measurement error carries directly into the result.

Use direct assessment when a clinical decision depends on body composition.

Use this result

Method and test recordFormula v1.0.0
Recorded scope
health-body-composition
Publisher
CalculatorGeek
Recorded review date
2026-10-04
Next source review
2027-10-04
Definition fixtures
4 configured scenarios
Published examples
4 shown below

Recorded method

Independently evaluate the published equation, verify the sex-term branch, compare centimeter and inch parity, and reject combinations outside the supported geometry.

These records describe the published model and reference tests. A test-case count is not a certification of every possible input or an independent specialist review. Editorial policy

Known limitations

  • RFM estimates, rather than measures, whole-body fat percentage.
  • The derivation and validation populations do not represent every population or clinical condition.
  • Measurement error in waist directly changes the estimate.
  • Pregnancy, children, and conditions affecting abdominal size require different assessment.

Method sources

Latest model update

2026-10-04 - Initial CalculatorGeek shared-system implementation with source-backed method, fixtures, content, and result journey.

Reference inputs and expected results

Up to 12 examples from the configured definition fixtures are shown. Expected values use the stated output units; invalid inputs are intended to be rejected.

CaseInputsExpected result
male referenceEquation sex term: male; Standing height: 175 cm; Waist circumference: 85 cmEstimated body fat by RFM: 22.82352941 %; Waist-to-height ratio: 0.485714 (allowed numeric tolerance: 0.0001)
female coefficient routeEquation sex term: female; Standing height: 175 cm; Waist circumference: 85 cmEstimated body fat by RFM: 34.82352941 % (allowed numeric tolerance: 0.0001)
imperial parityEquation sex term: male; Standing height: 68.897638 in; Waist circumference: 33.464567 inEstimated body fat by RFM: 22.8235 % (allowed numeric tolerance: 0.002)
invalid waistEquation sex term: male; Standing height: 175 cm; Waist circumference: 20 cmReject invalid input: waist

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On this page

What the Relative Fat Mass Calculator answers

Estimate adult body-fat percentage with the published RFM equation using height, waist, and the equation sex term.

The calculator shows the companion waist-to-height ratio and keeps population and measurement limitations beside the result.

How to use the Relative Fat Mass Calculator

  1. Select the coefficient set used by the published equation.
  2. Measure standing height and waist circumference.
  3. Use the same unit for both measurements.
  4. Interpret RFM as a population-derived estimate rather than a direct fat measurement.

Formula, variables and method

RFM = 64 - (20 x height / waist) + (12 x sex term). The source equation uses 0 for the male coefficient set and 1 for the female coefficient set. Height and waist must use the same unit.

The calculator also reports waist-to-height ratio so the underlying dimension ratio remains visible.

Worked examples and boundary checks

175 cm height and 85 cm waist

For the male coefficient set, 64 - (20 x 175 / 85) = 22.82%, displayed as 22.8%.

Same dimensions, female coefficient set

The published equation adds 12 percentage points, producing 34.82%.

How to interpret the result

RFM is an equation estimate of whole-body fat percentage from anthropometry. A single value should not be treated as a diagnosis or a measured composition result.

  • RFM estimates, rather than measures, whole-body fat percentage.
  • The derivation and validation populations do not represent every population or clinical condition.
  • Measurement error in waist directly changes the estimate.
  • Pregnancy, children, and conditions affecting abdominal size require different assessment.

Frequently asked questions

Why does RFM not use body weight?

The published equation was selected from height-waist anthropometric combinations and does not include weight.

Do inches and centimeters give the same RFM?

Yes, when height and waist use the same unit.

Is RFM more accurate than BMI?

The derivation study reported better prediction of DXA body-fat percentage in its validation dataset, but that does not make RFM universally superior for every population or purpose.

Where should I measure waist?

Use one documented protocol and do not mix measurement sites between comparisons.

Can RFM replace DXA?

No. RFM is a regression estimate; DXA and other direct methods answer a different measurement question.

Primary sources and evidence limits

Sources were checked 2026-10-04. They establish the published method or measurement context; they do not turn an anthropometric estimate into a diagnosis, direct body-composition measurement, or treatment recommendation.

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