HomeSkinfold Thickness Calculator

Skinfold Thickness Calculator

Online skinfold thickness calculator with 3-site and 7-site inputs to estimate body fat and body density with category classification for fitness testing

Measurement Inputs

Gender

Method

Required sites for current method

ChestAbdomenThigh

Result Overview

Enter measurements and run calculation first.


Measurement Tips

  • Take 2-3 readings at each site and use the average to reduce noise.
  • Use skinfold calipers before workouts or showers while skin is dry.
  • Keep the same time window and preferably the same measurer for trend tracking.
  • Results are for training reference and do not replace medical diagnosis.


Documentation

What Is the Skinfold Thickness Calculator

This calculator estimates body density and body fat percentage from caliper-based skinfold measurements, age, and sex. It supports Jackson-Pollock 3-site and 7-site methods for practical fitness tracking.

How to Use

  1. Choose sex and method (3-site or 7-site).
  2. Enter age and required skinfold sites in millimeters.
  3. Run calculation to get body fat, body density, skinfold sum, and category range.
  4. Record results under consistent conditions for better trend comparison.

Formula Notes

  • Both methods first compute skinfold sum S, then estimate body density BD by age and sex.
  • 3-site (male): BD = 1.10938 - 0.0008267*S + 0.0000016*S² - 0.0002574*age
  • 3-site (female): BD = 1.0994921 - 0.0009929*S + 0.0000023*S² - 0.0001392*age
  • 7-site (male): BD = 1.112 - 0.00043499*S + 0.00000055*S² - 0.00028826*age
  • 7-site (female): BD = 1.097 - 0.00046971*S + 0.00000056*S² - 0.00012828*age
  • Body fat conversion: Body Fat (%) = 495 / BD - 450

Use Cases

  • Weekly fat-loss review to evaluate training and nutrition adjustments.
  • Body composition tracking during hypertrophy or recomposition phases.
  • Before/after fitness test review to plan the next training cycle.

Notes

  • Measurement noise often comes from site location and pinch consistency; average repeated readings.
  • Results from different methods are useful for trends, but not ideal for direct cross-method comparison.
  • This tool is for health and training reference and does not replace medical diagnosis.