Skinfold Body Fat Estimator (Parrillo 9-Site Method)

Body Fat Estimates

Category Men (%) Women (%)
Lean6–13%14–20%
Average14–24%21–31%
Higher25%+32%+
Parrillo 9-Site Measurement Guide

How This Estimator Works

This estimator is based on the Parrillo 9-Site Skinfold Method, which measures subcutaneous fat across multiple body areas. Unlike traditional formulas, this method primarily uses the sum of skinfold measurements to track body fat levels.The same sites are used for women and men.

Step 1: Take Skinfold Measurements

  • Chest Diagonal fold between nipple and armpit.
  • Biceps Vertical fold on the front of the upper arm.
  • Triceps Vertical fold on the back of the upper arm.
  • Subscapular Diagonal fold just below the shoulder blade.
  • Suprailiac Diagonal fold just above the hip bone.
  • Abdominal Vertical fold next to the belly button.
  • Thigh Vertical fold on front of thigh, halfway between hip and knee.
  • Lower Back Diagonal fold in the lower back area near the waist.
  • Calf Vertical fold at the widest part of the calf.

Measurements are taken in millimeters (mm). For best consistency, measure each site 2–3 times and use the average.

Step 2: Sum All Measurements

Σ9 = sum of the nine skinfold measurements

This total is the primary result of the Parrillo method and is used to track changes over time.

Step 3: Estimate Body Fat %

Body Fat % ≈ (27 × Σ9) ÷ Body Weight (lbs)

This step converts the skinfold total into an estimated body fat percentage for easier interpretation.

Disclaimer:
The Parrillo method can overestimate body fat % as much as 4.7% compared to other methods. The formula used here is a practical estimation, not an official or clinically validated calculation. The most important value in this method is the total skinfold measurement (mm), which reflects changes in body fat over time.

Body fat percentages shown are approximate and can vary based on body composition, measurement technique, and individual differences. For best results, use this estimator consistently under the same conditions rather than focusing on a single reading.