Skip to main content

Grip Strength Calculator

Calculate your grip strength percentile and assess cardiovascular health risk.

Last Updated: June 24, 2026
3 min read

Your Details

Health Implications

  • • Low grip strength is associated with higher cardiovascular disease risk
  • • Grip strength is a reliable predictor of all-cause mortality
  • • Poor grip has been linked to longer hospital stays after surgery
  • • Improving grip strength through resistance training can reduce these risks

Your Rating

Enter your grip strength, age, and gender to see your rating

The Grip Strength Calculator compares your handgrip strength measurement to age-and-sex-specific norms and provides a percentile ranking. Grip strength has emerged as one of the most powerful predictors of overall health outcomes. Studies published in The Lancet found that grip strength predicts cardiovascular disease, functional decline, and all-cause mortality more reliably than blood pressure alone. A simple handgrip dynamometer reading can thus reveal far more than just hand strength.

How to Use This Calculator

  1. Enter your dominant hand grip strength as measured by a handheld dynamometer (in kg or lbs).
  2. Enter your age and sex for accurate percentile comparison.
  3. Optionally enter your non-dominant hand measurement for a side-to-side comparison.
  4. Click Calculate to see your percentile, strength category, and cardiovascular risk context.

What This Calculator Measures

This calculator outputs your grip strength percentile and health risk category.

  • Grip strength (kg): Force measured by squeezing a handheld dynamometer at maximum effort.
  • Percentile: Where your result falls among 100 people of the same age and sex.
  • Low grip threshold: Below ~27 kg for men and ~16 kg for women signals elevated health risk in multiple studies.
  • Asymmetry ratio: Dominant-to-non-dominant ratio; > 1.5 may indicate a strength imbalance worth investigating.

Formula or Logic

Percentile is determined by looking up age-and-sex-specific normative tables derived from large population studies (e.g., UK Biobank, NHANES, Mathiowetz norms). Results are categorized as: Excellent (> 75th percentile), Good (50th–75th), Average (25th–50th), Below Average (10th–25th), Poor (< 10th percentile). The low-grip health risk threshold is applied separately from percentile.

Example Calculations

Example 1: A 45-year-old man with a dominant grip of 38 kg → approximately 40th percentile → Average category; above the clinical low-grip risk threshold.

Example 2: A 60-year-old woman with a dominant grip of 14 kg → below the 10th percentile → Poor category; below the 16 kg clinical risk threshold — warrants attention.

Understanding Your Results

Grip strength declines approximately 1–3% per year after age 40 without targeted resistance training. Improving grip strength through general resistance training, dead hangs, and farmer's carries is associated with lower mortality risk and better functional outcomes into old age.

Common Mistakes to Avoid

  • Not using a calibrated handheld dynamometer — squeezing a blood pressure bulb or household item does not give a valid measurement.
  • Testing after fatiguing upper-body exercise — grip strength should be assessed rested.
  • Measuring only once — take the average of three trials on each hand for reliability.
  • Dismissing a low result as irrelevant to health when research consistently links low grip to systemic frailty and cardiovascular risk.