Conicity Index: Males, Age 35-39

What these numbers mean

A value around 1.300 index is typical (50th percentile) for males in this age group. The middle 50% of the reference population fall between about 1.247 index and 1.348 index; values below or above that central range sit in the lower or upper half of the distribution.

These percentiles reflect the US population (adult obesity rate 42.4% by BMI, Hales et al. 2020); in a leaner population the same Conicity Index would be expected to rank at a higher percentile, though we did not find a directly comparable non-US Conicity table to quantify that.

Also see: 30-34 · 40-44 · All ages

Data source: NHANES (CDC), derived Conicity Index percentiles (2026) · n=18.9K About this study

Reference population: US adults aged 20 and over from three pooled NHANES cycles (2015-2016, 2017-March 2020, 2021-2023), nationally representative

Conicity Index Body Composition Males 35-39

Conicity Index Percentile Chart (index)

Very low 1.174 index
Low 1.247 index
Average 1.300 index
High 1.348 index
Very high 1.434 index
Conicity Index percentile distribution chart for Males, age 35-39 5th 5th: 1.174 index (Very low) 1.174 Very low 25th 25th: 1.247 index (Low) 1.247 Low 50th 50th: 1.300 index (Average) 1.300 Average 75th 75th: 1.348 index (High) 1.348 High 95th 95th: 1.434 index (Very high) 1.434 Very high 0 0.3 0.6 1.0 1.3 1.6 index Conicity Index percentile distribution chart for Males, age 35-39 5th 5th: 1.174 index (Very low) 1.174 Very low 25th 25th: 1.247 index (Low) 1.247 Low 50th 50th: 1.300 index (Average) 1.300 Average 75th 75th: 1.348 index (High) 1.348 High 95th 95th: 1.434 index (Very high) 1.434 Very high 0 0.3 0.6 1.0 1.3 1.6 index

This percentile chart shows how common a value is, not whether it is healthy.

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Other age brackets
20-2425-2930-3440-4445-4950-5455-5960-6465-6970-7475-7980+ All
Females data Females, 35-39
Age trend

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