Conicity Index: Males, Age 30-34

What these numbers mean

A value around 1.277 index is typical (50th percentile) for males in this age group. The middle 50% of the reference population fall between about 1.226 index and 1.339 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: 25-29 · 35-39 · 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 30-34

Conicity Index Percentile Chart (index)

Very low 1.150 index
Low 1.226 index
Average 1.277 index
High 1.339 index
Very high 1.424 index
Conicity Index percentile distribution chart for Males, age 30-34 5th 5th: 1.150 index (Very low) 1.150 Very low 25th 25th: 1.226 index (Low) 1.226 Low 50th 50th: 1.277 index (Average) 1.277 Average 75th 75th: 1.339 index (High) 1.339 High 95th 95th: 1.424 index (Very high) 1.424 Very high 0 0.3 0.6 1.0 1.3 1.6 index Conicity Index percentile distribution chart for Males, age 30-34 5th 5th: 1.150 index (Very low) 1.150 Very low 25th 25th: 1.226 index (Low) 1.226 Low 50th 50th: 1.277 index (Average) 1.277 Average 75th 75th: 1.339 index (High) 1.339 High 95th 95th: 1.424 index (Very high) 1.424 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
20-2425-2935-3940-4445-4950-5455-5960-6465-6970-7475-7980+ All
Females data Females, 30-34
Age trend

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