Male height percentile chart and table

How to read a percentile

Picture every adult man in the survey standing in one long line from shortest to tallest. At the 75th percentile, about three quarters of the line is at or below that height, and for adult men that point is 70.9 inches. A percentile tells you a position in the line, so it cannot tell you what share of men stand at one exact height.

Start with the row for men ages 20 and older if you want a national adult comparison. The CDC's August 2021 to August 2023 measurements put the 50th percentile at 69.0 inches and the 75th at 70.9 inches. A height of 70.0 inches falls between those two reported cutoffs. The table therefore brackets its place between the median and 75th percentile, but it does not publish an exact rank for 70.0 inches. A calculator that prints a more exact value would need an additional method that is not present in this source table.

A 72.0-inch height offers another way to read the listed points. It is above the reported 75th-percentile value of 70.9 inches and below the 85th-percentile value of 72.1 inches for adult men overall. That places 72.0 somewhere between those listed percentile points in this measured population. It does not justify calling 72.0 the 84th percentile, because a straight line between two cutoffs is an interpolation the report did not publish. The same rule applies to a height between any neighboring table values.

The percentiles are cumulative positions. At the 95th-percentile cutoff of 73.7 inches, about 95% of the weighted adult-male population is at or below that height under this survey estimate. The table does not say that 95% are exactly 73.7 inches tall. It also does not report a separate rank for every tenth of an inch. Keep the population, period, and rounded cutoff with the number when sharing it; without them, a height chart can look more precise than the measured data allow.

Mean and median

The mean, or arithmetic average, is 68.9 inches. The median, the middle of the line, is 69.0 inches: half of the group is shorter and half is taller. Both values use survey weights, so the men who were measured stand in for the U.S. population.

The mean and median happen to sit close together in the all-adult row: 68.9 and 69.0 inches. That one-tenth-inch difference comes from the rounded published values. It does not prove that every age group has the same shape of height distribution, or that the sample has no very short or very tall people. The mean adds weighted heights and divides by the weighted total; the median marks the middle of the weighted distribution. Choose the median when you want the point with about half of the population on each side.

Do not treat the unweighted sample size as the population size. The table lists 2,690 examined adult men because that is how many men contributed measured observations to this row. CDC then uses survey weights to estimate the U.S. civilian noninstitutionalized population. The weighted mean and percentile points describe that broader population under the survey design, with sampling uncertainty. Dividing a row value by 2,690 would not produce an adult-male population percentage, because the row values are weighted estimates rather than counts of measured men at one height.

Height by age

The table lists medians and 95th percentiles for each age group. Each group holds different men, all measured during the same period, so the rows show how those crowds compare. They cannot show how much one man's height changes as he ages.

Age-specific rows help when an all-adult row feels too broad. The reported median is 69.3 inches for ages 20 to 29 and 66.9 inches for ages 80 and older. Those values come from separate groups of men measured during the same August 2021 to August 2023 period. The difference cannot tell us how much a man who was 25 in the survey will measure when he is 85. The groups may also reflect different birth cohorts and other differences that the CDC table does not isolate.

The upper cutoffs also vary across age rows. For ages 40 to 49, the reported 95th percentile is 74.8 inches, while for ages 70 to 79 it is 72.5 inches. Those points belong to different groups, so a person should choose an age row before comparing a specific height with a percentile. The all-adult row blends every age group together with the survey weights. It is the right row for an all-adult headline, while a same-age comparison is often clearer for a personal question.

For ages 80 and older, the table reports a median of 66.9 inches but does not show the 95th percentile. CDC says the standard error for that upper percentile could not be computed. The blank is part of the evidence: it does not mean no men in that group were tall, and it does not invite an estimate copied from the neighboring age row. When a chart leaves a cell unavailable, keep that cell unavailable in a derived graphic as well.

How the measurements were collected

Trained staff measured standing height to the nearest 0.1 centimeter during CDC health exams. The adult male sample included 2,690 men, and the published heights are rounded to one decimal place in inches.

Who got counted? The survey represents the U.S. civilian population living outside institutions. Its exam response rate was 25.6%, and CDC adjusted the results for how people were selected and for missing responses.

NHANES uses a health examination rather than asking respondents to guess their standing height. CDC says trained staff measured standing stature with a wall-mounted stadiometer to the nearest 0.1 centimeter, then the report displays inches rounded to one decimal place. That helps explain why a self-reported profile height and a table cutoff need not match perfectly. We use the measured report values as printed; it does not adjust them for shoes, time of day, or a reader's own measurement technique.

The survey covers the civilian population living outside institutions. CDC reports an overall examination response rate of 25.6% for this 2021 to 2023 cycle and applies survey weights to account for selection and missing examination responses. Those steps make a national estimate possible, but the point values still have uncertainty. The table also shows a standard error for the mean, while it does not give a personal measurement-error range for a height entered by a reader. A difference of one tenth of an inch near a printed cutoff deserves modest interpretation.

The period matters. These heights were measured from August 2021 through August 2023 and published in a later NCHS report. They are not a live count of all U.S. men today. Another chart may use a different period, country, age minimum, or self-reported heights and produce a different median. Before deciding that two height charts conflict, compare their source population and whether someone measured or reported the heights. This is especially important when a chart has a precise-looking percentile for a height that the CDC table does not list.

What this chart can answer for one person

If you know your measured height, use the adult male row or the age row that matches your question. Find the closest reported percentile cutoffs below and above the height, then describe the range between them. For example, 70.0 inches lies between the overall median of 69.0 and 75th-percentile value of 70.9 inches. You can say it falls between those published positions. You cannot assign one exact percentile from the listed values without a new calculation. The evidence table keeps the reported rows so you can see the bounds directly.

A height percentile describes a position among the men represented by the survey. It does not measure someone's health, attractiveness, dating availability, or how people in a particular city compare. For a dating-pool question, the table includes men regardless of whether they are single or interested in dating. A national height distribution can supply broad context for a height preference, while a filtered dating estimate needs separate population and relationship data. Keep the two questions separate so the chart does not promise more than its measurements support.