PHYSICAL

Body statistics: what the data actually shows

Almost everyone judges their body against the few dozen people they stand next to each week, and an office or a gym or a family is not a population. Measured national data keeps landing somewhere else, usually because the figure that feels extreme sits close to the middle and the figure that feels normal has quietly moved since your parents were the age you are now. Most of the numbers below came off a scale, a stadiometer, a scan or a stopwatch rather than out of a questionnaire. This reference page on Find The Norm uses CDC NHANES, WHO Growth Standards, NCD Risk Factor Collaboration, NSCA, and Strava data to summarise body measurement norms across the adult population.

CDC NHANES · WHO Growth Standards · NCD Risk Factor Collaboration · NSCA · Strava

Key takeaways

  • The average American man is 5′9" (175.3 cm). The average American woman is 5′3.5" (161.3 cm). (CDC NHANES 2015 to 2018) → Height percentile calculator
  • The average American man weighs 199.8 lbs (90.6 kg). The average woman weighs 170.8 lbs (77.5 kg). (CDC NHANES) → Weight percentile calculator
  • Average body fat measured by DXA scan is 28.1% for US men and 40.0% for US women aged 20 and over. (NHANES 1999 to 2004 DXA data) → Body fat calculator
  • The global average adult height rose by about 8 to 9 cm between people born in 1896 and people born in 1996. (NCD Risk Factor Collaboration, 2016) → Average height by country
  • The average untrained man can bench press approximately 135 lbs (61 kg). Trained lifters average 185 to 225 lbs. (NSCA; Strength Level) → Bench press calculator
  • The median recreational 5K time is approximately 28 to 35 minutes. (Strava, RunRepeat aggregate data) → Running pace percentile
  • Brown eyes account for 70 to 80% of the global population. Blue eyes are found in approximately 8 to 10%. (Widely cited estimates; no global count exists) → Eye colour rarity
  • Approximately 50% of men experience noticeable hair loss by age 50. (Hamilton-Norwood classification studies) → Hair loss calculator
  • The average adult reaction time is approximately 200 to 250 milliseconds for a simple visual stimulus. (Jain et al., 2015) → Reaction time test
  • The hourglass body shape accounts for only 8% of women. Rectangle is the most common at approximately 46%. (NCSU body scan analysis, 2006) → Body shape quiz

What is the average height by country?

The average adult man measures 175.3 cm (5′9′′) in the United States and 175.3 cm in the United Kingdom, while the average adult woman measures 161.3 cm (5′3.5′′) and 162.3 cm respectively, on CDC NHANES 2015 to 2018 and Health Survey for England figures taken with a stadiometer by someone else rather than collected by asking. That distinction does a lot of work in this subject.

The NCD Risk Factor Collaboration pooled measured heights from more than 18.6 million people in 200 countries, and its estimates put the global gain between people born in 1896 and 1996 at about 9 cm for men and 8 cm for women. Better childhood feeding and a lighter burden of childhood infection do nearly all of that work, which is why height gains track public health spending more closely than they track any national story about genes. Dutch men average 182.5 cm and sit at the top of the table, off the back of a dietary and public health shift that began in the middle of the 20th century.

Rankings move around more than people assume. America was among the tallest countries in the early 20th century and has since been passed by most of Europe, because the US had the smallest gain in height of any high-income country and levelled off earlier than the rest. For where you personally land, the height percentile calculator does the arithmetic, and the full country table with the NCD-RisC figures sits on the average height by country page.

AVERAGE ADULT HEIGHT BY COUNTRY, PEOPLE BORN IN 1996: NCD RISK FACTOR COLLABORATION (2016)
Country Male average Female average
Netherlands182.5 cm / 5′11.9′′168.7 cm / 5′6.4′′
United States177.1 cm / 5′9.7′′163.5 cm / 5′4.4′′
United Kingdom177.5 cm / 5′9.9′′164.4 cm / 5′4.7′′
South Korea174.9 cm / 5′8.9′′162.3 cm / 5′3.9′′
Brazil173.6 cm / 5′8.3′′160.9 cm / 5′3.3′′
Japan170.8 cm / 5′7.2′′158.3 cm / 5′2.3′′
India164.9 cm / 5′4.9′′152.6 cm / 5′0.1′′
Global average171.3 cm / 5′7.4′′159.5 cm / 5′2.8′′

What is the average weight?

The average US adult man weighs 199.8 lbs (90.6 kg) and the average US adult woman weighs 170.8 lbs (77.5 kg), counting everyone aged 20 and over, on CDC NHANES figures read off a clinic scale rather than reported by the person standing on it. Ask instead of weigh and the answer comes back 1 to 5 kg light, which is enough to move a national average.

Six decades have moved that a long way. In the 1960 to 1962 National Health Examination Survey, the forerunner of NHANES, the average American man weighed 166.3 lbs and the average American woman 140.2 lbs, so men have put on roughly 33 lbs since and women roughly 30 lbs. Height barely shifted across the same stretch, which means almost all of the added mass is fat rather than muscle or frame.

Weight also moves within a single life, peaking in the 30s and 40s for men and the 40s for women, then falling again in older adults as muscle goes. So the age band you compare yourself against changes the answer, which is what the weight percentile calculator is for. And if the question underneath is really what you ought to weigh at your height, the healthy weight calculator answers that one instead.

AVERAGE US ADULT WEIGHT BY AGE AND SEX: CDC NHANES 2015 TO 2018
Age group Male average Female average
20 to 29189 lbs / 85.5 kg165 lbs / 74.8 kg
30 to 39208 lbs / 94.4 kg175 lbs / 79.3 kg
40 to 49207 lbs / 93.8 kg178 lbs / 80.8 kg
50 to 59203 lbs / 91.9 kg174 lbs / 78.7 kg
60 to 69201 lbs / 91.3 kg172 lbs / 78.2 kg
70 to 79193 lbs / 87.7 kg165 lbs / 74.7 kg

What is a normal body fat percentage?

For US adults aged 20 and over, NHANES DXA scans from 1999 to 2004 put average body fat at 28.1% for men and 40.0% for women, and the figure climbs with age as muscle mass drops away and fat moves toward the centre of the body. DXA measures the tissue directly, which no caliper, tape or bathroom scale manages, so it is the figure worth trusting when two methods disagree about you.

The American Council on Exercise categories are the other half of the picture. Men run 2 to 5% essential fat, 6 to 13% athlete, 14 to 17% fitness, 18 to 24% average, and obese above 25%. Women run 10 to 13% essential, 14 to 20% athlete, 21 to 24% fitness, 25 to 31% average, and obese above 32%. Set the DXA averages against those bands and both the average American man, at 28.1%, and the average woman, at 40.0%, land above ACE's obese line. Fitness culture treats the athlete band as the ordinary one, which is how a benchmark almost nobody reaches, and almost nobody needs, came to feel like the target.

Two methods can put the same person several points apart, so treat any single reading as the middle of a range. The body fat percentage calculator gives you an estimate and the tier it falls in, while the visceral fat calculator deals with the fat around the organs, which is the part that carries the cardiovascular risk.

BODY FAT PERCENTAGE CATEGORIES BY SEX: ACE CLASSIFICATION
Category Male range Female range
Essential fat2 to 5%10 to 13%
Athlete6 to 13%14 to 20%
Fitness14 to 17%21 to 24%
Average18 to 24%25 to 31%
Obese25%+32%+

What are average body proportions?

Arm span and height come out close to equal across the population, with the ape index, arm span divided by height, averaging approximately 1.01 for men and 0.99 for women, which puts the long-armed build that climbers and swimmers talk about in the tail of a normal distribution rather than in a category of its own. No health outcome hangs on the ratio at all.

Waist-to-hip ratio is the one with a clinic behind it. In the CDC's NHANES 2017 to 2018 exam files, which record hip as well as waist, the average US man aged 20 and over comes out at 0.97 and the average woman at 0.90, and the World Health Organization draws its raised risk line at 0.90 for men and 0.85 for women. On those figures 82% of men and 72% of women are at or over the line, which is what several decades of fat moving to the middle of the body looks like once you compress it into one number.

Shoulder-to-waist ratio averages approximately 1.53 for men and 1.36 for women in population samples, and it shifts with age, training and how much fat someone is carrying, so it tells you more about the last two years than about the skeleton underneath. The body proportions calculator takes a tape measure reading and sets all three ratios against those population figures.

KEY BODY PROPORTION RATIOS BY SEX: WAIST-TO-HIP FROM CDC NHANES 2017 TO 2018
Ratio Male average Female average Notes
Ape index (arm span to height)1.010.99Near parity in general population
Waist-to-hip ratio (WHR)0.970.90WHO risk threshold: 0.90 (M), 0.85 (F)
Shoulder-to-waist ratio (SWR)1.531.36Higher SWR associated with mesomorphic build

How much can the average person bench press?

An untrained man benches approximately 135 lbs (61 kg), rising to 155 to 175 lbs after 6 to 12 months of consistent training, 185 to 225 lbs for an intermediate lifter with 1 to 3 years behind him, and past 225 lbs at advanced level, on NSCA reference data and Strength Level aggregates of millions of user-reported lifts. Two 45 lb plates a side is the only reason 225 became the number everybody quotes.

Women average roughly 50 to 60% of the male figure at the same training level. Untrained sits at 55 to 70 lbs and intermediate at 85 to 115 lbs after consistent work. Upper-body muscle mass, shoulder anatomy and arm length account for the gap, so it says nothing about how hard anyone trains or how fit they are.

Strength Level numbers come from people who bother to log their lifts, a self-selected crowd that pulls the whole distribution upward, so read them as a gym population rather than a national one. Absolute weight also flatters the heavy, which is why a ratio against bodyweight compares two people far better than a plate count. The bench press strength calculator works in both, and sports performance benchmarks covers the other lifts and events.

BENCH PRESS STRENGTH STANDARDS BY TRAINING LEVEL: NSCA AND STRENGTH LEVEL DATA
Training level Male (lbs) Female (lbs) Bodyweight ratio (male)
Untrained~135~650.50 to 0.65x BW
Beginner (under 6 months)155 to 17575 to 900.75x BW
Intermediate (1 to 3 years)185 to 22595 to 1151.0x BW
Advanced (3 or more years)225 to 275115 to 1551.25x BW
Elite300+175+1.5x+ BW
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What is the average running pace?

RunRepeat's State of Running 2019 pooled 107.9 million race results from 1986 to 2018 and put the average marathon finish in 2018 at 4:32:49. It reports averages rather than medians, and a long tail of slow finishers drags any average away from the middle of the pack, so the typical runner finishes a little faster than the mean. Use a median where you can find one, since the mean is describing the tail as much as it describes you.

Half marathons land around 1:55 for men and 2:12 for women on Strava Year in Sport and RunRepeat data, with marathons at approximately 4:22 and 4:45. Pace then falls by roughly 1% a year after 35. A fifty-year-old holding exactly the training volume they held at thirty-five will read slower on the clock while having lost nothing you could call fitness, and most age-graded tables exist to undo that.

Strava feeds and running forums are where most people calibrate, and both skew far faster than the running population as a whole. That is how a 5K under 25 minutes came to feel like the baseline when it sits well above average. The running pace percentile puts your time against the 107 million rather than against the people you follow, and the marathon pace calculator handles splits.

TYPICAL RECREATIONAL FINISH TIMES BY DISTANCE AND SEX: APPROXIMATE
Distance Male Female
5K27:0033:00
10K57:001:10:00
Half marathon1:55:002:12:00
Marathon4:22:004:45:00

What is the rarest eye colour?

Green is the rarest of the major eye colours at approximately 2% of the world, with hazel and amber near 5% each and grey rarer still, while brown covers 70 to 80% and blue 8 to 10%, on the global estimates that get quoted everywhere, which are stitched together from regional surveys rather than counted worldwide. Brown leads because South Asia, East Asia, sub-Saharan Africa and Latin America hold enormous populations in which brown eyes are close to universal. Blue clusters into Northern Europe hard enough to reach 85% in parts of Scandinavia.

Green and hazel both come out of melanin interacting with light scattering inside the iris, which is why they read differently by a window and under a bulb while brown and blue hold steady. Amber, the golden or copper tone, sits at approximately 5% globally. Grey is rarer again and concentrates in Scandinavian and Eastern European populations. None of these categories has a hard edge, and where one study draws the line between hazel and amber another puts it somewhere else.

Rarity is a regional statement and never a global one. Green eyes turn up in over 20% of Irish and Scottish people, so they are unusual worldwide and unremarkable in Galway. Sturm and Larsson (2009) put 74% of the variation in eye colour down to one stretch of chromosome 15 around the OCA2 gene, with other genes sharing the rest, which leaves the brown-dominant, blue-recessive model taught in school somewhere between a simplification and a fiction. The eye colour rarity calculator works the number out for a region rather than for the planet.

EYE COLOUR PREVALENCE BY REGION: WIDELY CITED ESTIMATES
Eye colour Global Northern Europe Southern Europe East Asia Sub-Saharan Africa
Brown70 to 80%15 to 30%60 to 70%95 to 99%99%+
Blue8 to 10%50 to 85%15 to 25%<1%<1%
Green~2%5 to 20%5 to 10%<1%<1%
Hazel~5%5 to 10%10 to 15%<1%<1%
Amber / other~5%1 to 5%2 to 5%1 to 3%<1%

How common is hair loss?

Approximately 50% of men have noticeable hair loss by age 50, and it starts earlier than most men expect. In a community sample of US men, Rhodes et al. (1998) found moderate to extensive loss, Norwood type III or above, in 16% of men aged 18 to 29 and 53% of men aged 40 to 49. Past 60, over 90% show some degree of androgenetic alopecia. The 50/50/50 rule people repeat, 50% of men with 50% loss by 50, turns out to fit the population data reasonably well.

Women lose hair on a different pattern altogether. Thinning spreads across the crown while the frontal hairline mostly holds, so female pattern hair loss goes unnoticed for longer and gets mistaken for shedding. Approximately 40% of women have noticeable FPHL by age 50, and the rate climbs after menopause as oestrogen drops away. The Ludwig scale runs from Stage I, a parting that has widened enough to see, to Stage III, near-total crown baldness, which fewer than 1% of women ever reach.

Older prevalence figures come mostly from clinic samples of white men, which is one reason the Rhodes community sample found hair loss more common than earlier work had, and rates differ by ancestry, so read the table as an order of magnitude rather than a precise national count. What the numbers do settle is how ordinary this is at every age, which is the thing nobody believes while it is happening to them. The hair loss calculator puts a stage on it and gives the prevalence for your age, and if the question is how to look after the hair you have, the hair washing quiz gives the interval dermatologists recommend for your hair type.

PREVALENCE OF HAIR LOSS BY AGE: NORWOOD SCALE, MEN UNDER 50 FROM RHODES ET AL. (1998)
Age bracket Male (Norwood III or above) Male (advanced, Norwood V or above) Female (FPHL)
20 to 29~16%~2%5 to 10%
40 to 49~53%~18%20 to 30%
50 to 59~84%~40%35 to 45%
60 and over90%+70%+45 to 55%
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What is the average reaction time?

A healthy young adult reacts to a simple visual signal in roughly 200 to 250 milliseconds. Jain et al. (2015) timed 120 medical students aged 18 to 20 at an average of 216 ms for a visual signal and 174 ms for a sound, hearing being the shorter route into the brain. Der and Deary (2006) reanalysed 7,130 UK adults from the Health and Lifestyle Survey and found simple reaction time barely slows until about 50, while choice reaction time slows across the whole adult range.

Reaction time tops out in the late teens and early 20s and then only goes one way. For simple reactions the loss through the 30s and 40s is too small to notice, and after 50 the slope steepens. Silverman's 2006 meta-analysis pooled 72 effect sizes from 21 studies and 15,003 people and found men faster on average. Sleep, alcohol and the hour of the day each move a single test enough to matter.

Human Benchmark publishes its own average, which isn't a population figure at all, because the people who go looking for a reflex test online are young, male and mostly gamers. Any web-based test also measures your screen and your mouse alongside your nervous system. The reaction time test times you the same way and then places the result against the academic samples instead of against the internet.

AVERAGE SIMPLE VISUAL REACTION TIME BY AGE: APPROXIMATE RANGES
Age bracket Simple visual RT
18 to 25215 to 225 ms
26 to 35225 to 240 ms
36 to 45240 to 255 ms
46 to 55255 to 275 ms
56 to 65275 to 320 ms
66 and over320 to 380+ ms

What is the most common body shape?

The rectangle is the most common female body shape at approximately 46%, in Cynthia Istook's North Carolina State University analysis of more than 6,300 women's body scans, released in 2006. Bust, waist and hips sit within a narrow range of one another on a rectangle, giving a straight torso with little waist definition. Against that, the hourglass that everybody assumes is standard covers only 8% of women.

The rest of the NCSU sample breaks into spoon or pear, hips at least two inches wider than the bust, at a little over 20%, and inverted triangle, bust three or more inches wider than the hips, at nearly 14%. What's left falls into the study's smaller groups, the triangle and the top and bottom hourglass. Different studies rank these differently because they draw the boundaries in different places, so a shape you got from one quiz will not always survive another. Fashion and film overrepresent the hourglass by a wide margin, and that is where the assumption comes from rather than from any measurement.

Shape is not a fixed trait either. Hormonal change, menopause above all, redistributes fat and moves plenty of women from pear or hourglass toward rectangle or apple inside a few years. The body shape quiz classifies you on the NCSU definitions, while the Kibbe body type test takes similar measurements somewhere else entirely, into styling.

FEMALE BODY SHAPE DISTRIBUTION: NCSU BODY SCAN ANALYSIS OF MORE THAN 6,300 WOMEN
Body shape Defining characteristic Prevalence
RectangleBust and hips similar, waist less than 9 inches smaller than either~46%
Spoon / pearHips at least 2 inches wider than bust~20%
Inverted triangleBust 3 or more inches wider than hips~14%
HourglassBust and hips within 1 inch, waist at least 9 inches narrower~8%

How has the average body changed over time?

American men went from 173.5 cm (5′8.3′′) in 1960 to 1962 to 175.8 cm (5′9.2′′) by 1988 to 1994, on CDC survey data for men aged 20 to 74, and they've barely moved since. Better childhood nutrition and a lighter burden of infectious disease account for the rise. Most high-income countries hit the same ceiling in the 1980s and 1990s, while parts of East Asia and lower-income countries are still climbing because childhood nutrition there is still improving.

Weight never hit a ceiling. Average male weight went from 166.3 lbs in 1960 to approximately 199.8 lbs in the recent NHANES cycles, roughly 33 lbs across six decades, and female weight from 140.2 lbs to approximately 170.8 lbs. Because the height levelled off around the late 1980s and the weight did not, everything added since has gone onto BMI rather than spreading across a bigger frame.

Average male BMI moved from 25.1 in 1960 to 1962 to 29.4 in 2015 to 2018, from just over the top of the healthy range to a whisker under the obesity line of 30. That drift is the reason the height percentile calculator and the weight percentile calculator both work off age-adjusted reference data. Compare a 25-year-old against a 65-year-old on raw figures and you are really comparing two different decades of childhood.

AVERAGE HEIGHT, WEIGHT, AND BMI FOR US MEN BY SURVEY: CDC NHES AND NHANES, AGES 20 TO 74 UNTIL 2002, 20 AND OVER AFTER
Survey years Average height Average weight Average BMI
1960 to 1962173.5 cm / 5′8.3′′166 lbs / 75.4 kg25.1
1971 to 1974175.0 cm / 5′8.9′′173 lbs / 78.7 kg25.7
1976 to 1980175.5 cm / 5′9.1′′174 lbs / 78.8 kg25.6
1988 to 1994175.8 cm / 5′9.2′′182 lbs / 82.7 kg26.8
1999 to 2002176.3 cm / 5′9.4′′191 lbs / 86.6 kg27.9
2007 to 2010175.9 cm / 5′9.3′′196 lbs / 88.7 kg28.6
2015 to 2018175.3 cm / 5′9.0′′200 lbs / 90.6 kg29.4

Methodology and sources

  • CDC National Health and Nutrition Examination Survey (NHANES). Adult height, weight and BMI from Fryar CD et al., Anthropometric reference data for children and adults: United States, 2015 to 2018, NCHS Series 3, No. 46, 2021. Waist-to-hip ratio calculated from the weighted 2017 to 2018 exam files. Trends from Ogden CL et al., Mean body weight, height, and body mass index, United States 1960 to 2002, Advance Data No. 347, 2004, and Fryar CD et al., NCHS Series 11, No. 252, 2012. Body fat by DXA from Li C et al., American Journal of Clinical Nutrition, 90(6), 1457 to 1465, 2009.
  • NCD Risk Factor Collaboration (NCD-RisC). A century of trends in adult human height. eLife, 5, e13410. 2016. Dataset covers 18.6 million adults across approximately 200 countries.
  • Sturm RA, Larsson M. Genetics of human iris colour and patterns. Pigment Cell and Melanoma Research, 22(5), 544 to 562. 2009.
  • American Council on Exercise (ACE). Body fat percentage norms and category classifications.
  • National Strength and Conditioning Association (NSCA). Strength performance standards. Reference: NSCA Essentials of Strength Training and Conditioning, 4th edition.
  • Strength Level (strengthlevel.com). Aggregate user-reported strength data by bodyweight and training level, updated continuously.
  • Andersen JJ. The State of Running 2019. RunRepeat. Analysis of 107.9 million race results from 1986 to 2018.
  • Strava Year in Sport 2024. Aggregate pace and activity data from Strava platform.
  • Jain A, Bansal R, Kumar A, Singh KD. A comparative study of visual and auditory reaction times on the basis of gender and physical activity levels of medical first year students. International Journal of Applied and Basic Medical Research, 5(2), 124 to 127. 2015.
  • Der G, Deary IJ. Age and sex differences in reaction time in adulthood: Results from the United Kingdom Health and Lifestyle Survey. Psychology and Aging, 21(1), 62 to 73. 2006. n=7,130.
  • Silverman IW. Sex differences in simple visual reaction time: A historical meta-analysis. Sex Roles, 54(1 to 2), 57 to 68. 2006. n=15,003.
  • Istook CL, North Carolina State University. Analysis of more than 6,300 women's body scans, news release, 20 February 2006. Shape definitions from Simmons KP, Istook CL, Devarajan P. Female Figure Identification Technique (FFIT) for apparel, part I: describing female shapes. Journal of Textile and Apparel, Technology and Management, 4(1). 2004.
  • Hamilton JB. Patterned loss of hair in man: types and incidence. Annals of the New York Academy of Sciences, 53(3), 708 to 728. 1951. Extended by Norwood OT, 1975. Age prevalence from Rhodes T et al. Prevalence of male pattern hair loss in 18 to 49 year old men. Dermatologic Surgery, 24(12), 1330 to 1332. 1998.

Most figures come from measured, peer-reviewed or government data. Strength Level and Strava are self-selected app data, and the eye colour shares are widely cited estimates rather than a measured global count.

By James Maclean · · How the numbers are checked