Body statistics: what the data actually shows

What is the average height by country?

CDC NHANES data from the 2015 to 2018 survey cycle provides the most rigorous US figures, based on clinically measured rather than self-reported heights. The average US adult man stands 175.4 cm (5′9′′) and the average US adult woman 161.5 cm (5′3.6′′). The UK Health Survey for England produces nearly identical figures, with men averaging 175.3 cm and women 162.3 cm.

The NCD Risk Factor Collaboration (2016), which pooled height measurements from 18.6 million adults across approximately 200 countries, documented a global secular trend: average adult height has increased by approximately 8 to 10 cm over the past century. The primary drivers are improved childhood nutrition and reduced infectious disease burden during developmental years. The Netherlands consistently ranks among the tallest nations, with men averaging 182.5 cm, reflecting a dietary and public health transformation that began in the mid-20th century.

Country rankings have shifted substantially over time. The US was one of the tallest nations in the early 20th century but has been overtaken by much of Europe as American height gains stalled from the 1980s onward. For a personalised height percentile, use the height percentile calculator. Country-level rankings with full NCD-RisC data are available on the average height by country page.

What is the average weight?

CDC NHANES data is the standard reference for US adult weight. Based on clinically measured figures, 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). These figures represent adults aged 20 and older and are derived from measured rather than self-reported weights. Self-reported weight consistently underestimates measured weight by an average of 1 to 5 kg.

Average weight has risen substantially over the past six decades. In the 1960 to 1962 NHANES cycle, the average US man weighed 166.3 lbs and the average US woman weighed 140.2 lbs. By the most recent cycles, male average weight has increased by approximately 33 lbs and female average weight by approximately 30 lbs. This increase has occurred despite modest height gains, meaning most of the added weight is body fat rather than lean mass.

Weight rises and then declines with age in both sexes, peaking in the 40s and 50s before declining in older adults, partly due to muscle loss. For a personalised weight percentile, use the weight percentile calculator. For context on healthy weight ranges at your height, see the healthy weight calculator.

What is a normal body fat percentage?

Body fat norms come from two main sources: NHANES DXA (dual-energy X-ray absorptiometry) scan data, which provides directly measured population figures, and the American Council on Exercise (ACE) classification system, which defines clinical categories. For US adults aged 20 to 39, NHANES DXA data shows average body fat of 22 to 24% for men and 32 to 34% for women. These figures rise with age as muscle mass declines and fat redistributes toward the centre of the body.

The ACE categories provide a useful framework. For men: essential fat is 2 to 5%, athletes 6 to 13%, fitness 14 to 17%, average 18 to 24%, and obese above 25%. For women: essential fat is 10 to 13%, athletes 14 to 20%, fitness 21 to 24%, average 25 to 31%, and obese above 32%. The "average" tier is what most adults occupy and is not a health warning on its own. Fitness culture often presents the athlete range as normal, creating a distorted benchmark that most adults will never meet and do not need to.

For a personalised estimate, use the body fat percentage calculator. For body fat in relation to abdominal distribution, see the visceral fat calculator.

What are average body proportions?

Anthropometric surveys provide population-level data on key body ratios. The ape index, the ratio of arm span to height, averages approximately 1.01 for men and 0.99 for women, meaning arm span and height are nearly equal in the general population. This metric has no significant health implications but is studied in sports science for activities requiring long reach.

The waist-to-hip ratio (WHR) is more clinically significant. CDC NHANES anthropometric data shows that the average WHR for US women is approximately 0.82 and for US men approximately 0.90. The World Health Organization uses WHR thresholds of 0.85 for women and 0.90 for men as markers of elevated cardiovascular risk. By this threshold, the average US man sits exactly at the risk boundary, reflecting the shift toward central body fat distribution in recent decades.

The shoulder-to-waist ratio (SWR) averages approximately 1.53 for men and 1.36 for women in population samples. These ratios shift with age, training status, and overall body composition. For personalised measurements and population comparisons, use the body proportions calculator.

How much can the average person bench press?

NSCA reference data and Strength Level aggregate figures from millions of user-reported lifts provide the most comprehensive benchmarks. The average untrained man can bench press approximately 135 lbs (61 kg). After 6 to 12 months of consistent training, the novice range is 155 to 175 lbs. Intermediate lifters with 1 to 3 years of training average 185 to 225 lbs, and advanced lifters exceed 225 lbs. Reaching 225 lbs is often cited as a cultural milestone because it represents two 45 lb plates per side.

Women's average bench press figures are roughly 50 to 60% of male figures at equivalent training levels. An untrained woman averages 55 to 70 lbs on the bench press. After consistent training, intermediate women average 85 to 115 lbs. The gap between sexes reflects differences in upper-body muscle mass, shoulder anatomy, and arm length rather than general fitness capacity.

Bodyweight-relative standards are more meaningful than absolute figures for comparing across different body sizes. For your personalised strength percentile, use the bench press strength calculator. For broader fitness benchmarks across multiple metrics, see sports performance benchmarks.

What is the average running pace?

RunRepeat's analysis of over 107 million race results (2023) provides the most comprehensive picture of recreational running paces across all distances. The global average 5K finish time is approximately 28:30 for men and 34:00 for women. The median times are somewhat faster (27:00 and 33:00 respectively) because the distribution is right-skewed, with a long tail of slower finishers pulling the mean upward. Median times are the more accurate benchmark for most recreational runners.

For longer distances, Strava Year in Sport and RunRepeat data show the median half marathon time is approximately 1:55 for men and 2:12 for women. The median marathon is approximately 4:22 for men and 4:45 for women. Running pace declines gradually with age at approximately 1% per year after age 35. This means a 50-year-old maintaining the same training volume as a 35-year-old will naturally be somewhat slower, even if their fitness level is objectively unchanged.

Selection bias heavily influences what runners perceive as "average." Strava and running forum communities skew significantly faster than the general running population, creating the impression that 5K times under 25 minutes are typical when they are actually above average. For your personalised running percentile, use the running pace percentile. For marathon splits and pacing strategy, see the marathon pace calculator.

What is the rarest eye colour?

Brown eyes are by far the most common globally, accounting for 70 to 80% of the world's population according to population genetics research by Sturm and Larsson (2009). This global dominance reflects the large populations of South Asia, East Asia, sub-Saharan Africa, and Latin America where brown eyes are near-universal. Blue eyes account for approximately 8 to 10% of the global population, concentrated heavily in Northern Europe where prevalence reaches 85% in some Scandinavian countries.

Green eyes are the rarest major eye colour category, affecting approximately 2% of the global population. Hazel eyes account for approximately 5%. Both green and hazel involve complex interactions between melanin levels and light scattering within the iris, making them sensitive to lighting conditions in a way that brown and blue eyes are not. Amber, a distinct golden or copper tone, accounts for approximately 5% globally. Grey eyes are rarer still, concentrated in Scandinavian and Eastern European populations.

Rarity is always regional. Green eyes are rare globally but occur in over 20% of the Irish and Scottish populations, making them locally common. The genetics of eye colour involves at least 16 genes, meaning the simple school model of brown dominant and blue recessive is a substantial oversimplification. For personalised eye colour rarity by region, use the eye colour rarity calculator.

How common is hair loss?

Male pattern hair loss (androgenetic alopecia) is one of the most common conditions affecting adult men. Hamilton-Norwood classification studies provide the foundational prevalence data. Among Caucasian men, approximately 16% show moderate to extensive hair loss (Norwood Stage II or above) in their 20s, rising to approximately 53% in their 30s and 63% in their 40s. By age 50, approximately 50% of men have noticeable hair loss. By the 60s and beyond, over 90% show some degree of AGA. The widely cited 50/50/50 rule, that 50% of men have 50% hair loss by age 50, is broadly consistent with the population data.

Female pattern hair loss (FPHL) follows a different presentation. Rather than a receding hairline, women typically experience diffuse thinning over the crown while the frontal hairline is largely preserved. Approximately 40% of women experience noticeable FPHL by age 50, with prevalence rising after menopause as oestrogen levels decline. The Ludwig scale classifies female hair loss from Stage I (perceptible crown widening) through Stage III (near-total crown baldness), with Stage III affecting fewer than 1% of women.

Hair loss is substantially more common than most people assume before it affects them personally, and less exceptional than it feels. For a personalised stage and population comparison, use the hair loss calculator.

What is the average reaction time?

The most commonly cited benchmark for simple visual reaction time is 200 to 250 milliseconds for a healthy adult, based on academic studies using representative population samples. Jain et al. (2015) found average visual reaction times of approximately 220 ms, with auditory reaction times slightly faster at 140 to 160 ms. The Der and Deary (2006) study, using a UK population sample of 7,130 adults across all age groups, found averages ranging from approximately 215 ms for 18 to 19 year olds to over 380 ms for adults over 80.

Reaction time peaks in the late teens to early 20s and then declines gradually. Through the 30s and 40s, the decline is approximately 0.1 ms per year. The rate accelerates after age 50, with adults in their 60s averaging approximately 275 ms and adults in their 70s averaging around 320 ms. Silverman's 2006 meta-analysis of 72 studies found a consistent male advantage of approximately 20 to 30 ms across all age groups, though the distributions overlap substantially. Fatigue, alcohol, and time of day all produce meaningful changes in reaction time.

Online benchmarks such as Human Benchmark (approximately 284 ms average) skew young and male because gamers are overrepresented in the sample. For a tested reaction time with population comparison, use the reaction time test.

What is the most common body shape?

The North Carolina State University (NCSU) body scan study of 6,000 women (2004), part of the SizeUSA project, used 3D body scanning to classify female body shapes. The rectangle shape (straight torso with minimal waist definition, where bust, waist, and hip measurements are within a narrow range) was the most common at approximately 46% of the sample. This directly contradicts the cultural assumption that the hourglass is the typical or aspirational norm. The hourglass, defined by a well-defined waist and similar bust and hip measurements, accounts for only 8 to 10% of women.

Other shapes in the NCSU data: the spoon or pear shape (hips significantly wider than bust) at approximately 20%; the inverted triangle (shoulders and bust wider than hips) at approximately 14%; and the apple or oval shape (weight concentrated around the abdomen) at approximately 14%. Fashion and media vastly overrepresent the hourglass, creating a distorted perception of how common the shape is. Classifications differ across methodologies, which is why different studies produce different prevalence rankings.

Body shape is not fixed. Hormonal changes, particularly at menopause, cause fat redistribution that shifts many women from pear or hourglass toward rectangle or apple over time. For your personalised body shape classification, use the body shape quiz. For body type in a style and proportion context, see the Kibbe body type test.

How has the average body changed over time?

The average American body has changed dramatically since the 1960s, and not only in weight. CDC NHANES longitudinal data shows that average male height in the US increased from approximately 172 cm (5′7.7′′) in the early 1960s to approximately 175.4 cm (5′9′′) by the 1980s and has plateaued since. The height gains reflect improved childhood nutrition and reduced infectious disease burden. Most high-income countries reached their height plateau in the 1980s to 1990s, while height gains continue in parts of East Asia and lower-income countries where childhood nutrition is still improving.

Weight tells a different story. Average male weight increased from 166.3 lbs in 1960 to approximately 199.8 lbs in the most recent NHANES cycles, an increase of approximately 33 lbs over six decades. Average female weight increased from 140.2 lbs to approximately 170.8 lbs over the same period. Since height gains stopped in the 1980s, virtually all weight gained since then has added BMI points rather than proportional lean mass.

BMI for the average US male rose from approximately 25.4 in the 1960s to approximately 29.0 by the 2020s, crossing from the clinically normal range into overweight and approaching obesity. These trends are tracked across calculators including the height percentile calculator and the weight percentile calculator, both of which use age-adjusted reference data to account for generational shifts.