METHODOLOGY

How your grip percentile is calculated.

Grip Benchmark separates published reference data from our own UI interpretation so you can see exactly what the number means.

Primary data source

Our adult benchmark is based on the iGRIPS international norms published by Tomkinson and colleagues. The systematic review pooled absolute handgrip strength data from 2,405,863 adults aged 20 to 100+ across 69 countries and regions.

Published percentile anchors: P5, P10, P20, P30, P40, P50, P60, P70, P80, P90 and P95 for each five-year age group and sex.

Read the open-access source study ↗

What the headline percentile uses

The primary percentile uses only three variables: age, sex and absolute grip strength in kilograms. This mirrors the structure of the published absolute handgrip reference table.

Height and weight do not alter the headline percentile. Height can generate a secondary height-normalized result using the study's kg/m² table. Weight is used only to show grip strength as a fraction of bodyweight.

Interpolation

The paper does not publish every percentile from 1 to 99. When your grip falls between two published anchors, Grip Benchmark estimates your location using linear interpolation between those two strength thresholds.

Example: if a value lies exactly halfway between the published P80 and P90 strength thresholds, the interface reports approximately the 85th percentile.

We do not extrapolate beyond the published range. Values below P5 display “Below 5th.” Values above P95 display “Above 95th.”

Testing protocol

The source norms were statistically harmonized to a reference protocol: hydraulic dynamometer, seated body position, flexed elbow, neutral forearm, handle adjusted to hand size, both hands tested, three repetitions per hand, with the maximum result used.

Consumer dynamometers and different testing positions can produce different readings. For progress tracking, use the same device, handle position and posture each time.

Labels such as “Strong”

Labels are simple Grip Benchmark UI categories, not diagnostic or clinical classifications. The percentile is the more important result. We intentionally avoid calling values “healthy,” “unhealthy,” or making individual health predictions from a single grip test.

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