Waist-to-Height Ratio
Page updated: Evidence reviewed: What this means
Waist-to-height ratio (WHtR) is waist circumference divided by height. It puts an iliac-crest waist measurement in the context of stature, but it remains a screening measure rather than a diagnosis.
These percentiles were derived from paired waist and height measurements for 5,718 nonpregnant US adults in NHANES August 2021-August 2023. FitnessNorms computes weighted empirical percentiles from CDC public microdata; these are not official CDC estimates and do not include survey-design standard errors. The methodology page documents pregnancy exclusion, cell sizes, the rejected multi-cycle pool, and measurement-site limitations.
How to Perform This Test (Protocol)
- Equipment
-
- Flexible non-stretch anthropometric tape
- Stadiometer or other accurate height measure
- Protocol Steps
-
- Stand upright with feet together. Cross your arms and place your hands on opposite shoulders so the tape can pass around the waist.
- Measure waist circumference at the high point of the iliac crest (the top edge of the hip bone), with the tape horizontal and not compressing the skin. Record at the end of a normal expiration to the nearest 0.1 cm. This is the site used by the NHANES Anthropometry Procedures Manual; it is not the same as the WHO midpoint-between-ribs-and-iliac-crest site.
- Measure standing height with a stadiometer to the nearest 0.1 cm.
- Divide waist circumference by height using the same units to calculate WHtR.
- Scoring
WHtR = waist circumference divided by height, using the same units for both. The percentile chart shows where a NHANES-protocol value sits in the US adult distribution; it does not assign a clinical category.
- Notes
Both the waist site (NHANES iliac-crest) and height follow CDC anthropometric procedures. Waist measured at other sites, such as the WHO midpoint between the lowest rib and the iliac crest, produces systematically different values and is not directly comparable to these NHANES-based norms.
Data source: NHANES (CDC), derived WHtR percentiles About this study
Reference population: US adults aged 20 and over with valid measured waist and height in NHANES August 2021-August 2023; known pregnancies excluded
Waist-to-Height Ratio Norms Chart by Age and Sex
| Age | Sex | Percentile | ||||
|---|---|---|---|---|---|---|
| 5th | 25th | 50th | 75th | 95th | ||
| 20-24 | Male | 0.407 | 0.454 | 0.502 | 0.585 | 0.690 |
| Female | 0.415 | 0.460 | 0.505 | 0.571 | 0.739 | |
| 25-29 | Male | 0.431 | 0.483 | 0.544 | 0.605 | 0.703 |
| Female | 0.434 | 0.481 | 0.536 | 0.647 | 0.814 | |
| 30-34 | Male | 0.428 | 0.500 | 0.552 | 0.613 | 0.757 |
| Female | 0.439 | 0.509 | 0.589 | 0.680 | 0.830 | |
| 35-39 | Male | 0.469 | 0.523 | 0.583 | 0.636 | 0.731 |
| Female | 0.446 | 0.522 | 0.570 | 0.670 | 0.823 | |
| 40-44 | Male | 0.477 | 0.519 | 0.575 | 0.629 | 0.689 |
| Female | 0.455 | 0.512 | 0.581 | 0.665 | 0.770 | |
| 45-49 | Male | 0.471 | 0.537 | 0.592 | 0.677 | 0.825 |
| Female | 0.471 | 0.527 | 0.597 | 0.691 | 0.796 | |
| 50-54 | Male | 0.471 | 0.544 | 0.608 | 0.648 | 0.783 |
| Female | 0.486 | 0.543 | 0.615 | 0.692 | 0.793 | |
| 55-59 | Male | 0.483 | 0.544 | 0.595 | 0.662 | 0.784 |
| Female | 0.474 | 0.552 | 0.637 | 0.708 | 0.800 | |
| 60-64 | Male | 0.482 | 0.541 | 0.594 | 0.648 | 0.750 |
| Female | 0.482 | 0.549 | 0.613 | 0.690 | 0.786 | |
| 65-69 | Male | 0.496 | 0.552 | 0.599 | 0.656 | 0.765 |
| Female | 0.478 | 0.556 | 0.620 | 0.698 | 0.808 | |
| 70-74 | Male | 0.501 | 0.562 | 0.621 | 0.668 | 0.760 |
| Female | 0.480 | 0.560 | 0.624 | 0.694 | 0.802 | |
| 75-79 | Male | 0.493 | 0.571 | 0.623 | 0.672 | 0.764 |
| Female | 0.498 | 0.564 | 0.620 | 0.687 | 0.779 | |
| 80+ | Male | 0.512 | 0.565 | 0.600 | 0.651 | 0.720 |
| Female | 0.475 | 0.560 | 0.612 | 0.680 | 0.747 | |
What to expect by age group
Among US adults aged 30-34, the middle 50% measure 0.500 to 0.613 for men and 0.509 to 0.680 for women. These percentiles describe population position, not clinical risk categories. The table is based on the latest NHANES cycle after an earlier pooled derivation failed the all-quantile pandemic-discontinuity check.
| Age | Males | Females |
|---|---|---|
| 20-24 | 0.454 to 0.585 | 0.460 to 0.571 |
| 25-29 | 0.483 to 0.605 | 0.481 to 0.647 |
| 30-34 | 0.500 to 0.613 | 0.509 to 0.680 |
| 35-39 | 0.523 to 0.636 | 0.522 to 0.670 |
| 40-44 | 0.519 to 0.629 | 0.512 to 0.665 |
| 45-49 | 0.537 to 0.677 | 0.527 to 0.691 |
| 50-54 | 0.544 to 0.648 | 0.543 to 0.692 |
| 55-59 | 0.544 to 0.662 | 0.552 to 0.708 |
| 60-64 | 0.541 to 0.648 | 0.549 to 0.690 |
| 65-69 | 0.552 to 0.656 | 0.556 to 0.698 |
| 70-74 | 0.562 to 0.668 | 0.560 to 0.694 |
| 75-79 | 0.571 to 0.672 | 0.564 to 0.687 |
| 80+ | 0.565 to 0.651 | 0.560 to 0.680 |
Detailed Breakdowns
Select an age group and sex below for detailed percentile charts and distribution labels.
Frequently Asked Questions
What is a healthy waist-to-height ratio?
These percentiles show population position, not a clinical category. For clinical interpretation, use an applicable guideline such as NICE NG246 and discuss individual risk with a clinician.
Why can WHtR be more useful than BMI?
BMI uses weight and height; WHtR uses waist and height. They describe different aspects of body size, so the same person can occupy different population percentiles on the two measures. Neither percentile is a diagnosis.
Why can a guideline boundary differ from a population percentile?
A guideline boundary and a percentile answer different questions. A boundary is used in a clinical or public-health framework; a percentile only shows where a measurement sits in this US reference distribution. Do not treat the median as a health target.
Where does the data come from?
These percentiles were calculated from paired waist and height measurements in the latest NHANES release, August 2021-August 2023. The reviewed cohort contains 5,718 adults aged 20 and over after excluding known pregnancies and records without valid measurements or MEC weights. The methodology page documents the derivation and sensitivity checks.
Why are these values higher than other WHtR reference charts?
Reference charts can differ because populations, survey years, age groups, and waist landmarks differ. A Colombian national survey provides one cross-population comparison (Ramirez-Velez et al. 2016), but values should not be converted between studies without matching methods.