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2697 | Human Height | human-height | page | publish | <!-- wp:html --> <div class="blog-info">This article was first published in 2013, and updated in May 2019.</div> <!-- /wp:html --> <!-- wp:paragraph --> <p>Poor nutrition and illness in childhood limit human growth. As a consequence, the average height of a population is strongly correlated with living standards in a population. This makes the study of human height relevant for historians who want to understand the history of living conditions. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Because the effect of better material living standards is to make people taller, human height is used as an indirect measure for living standards. It is especially relevant for the study of living conditions in periods for which little or no other data is available – what historians refer to as the pre-statistical period.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>It is important to stress that height is not used as a direct measure of well-being. The variation of height <em>within</em> a given population is largely determined by genetic factors.{ref}Recent breakthroughs in sequencing the human genome have allowed identification of 697 genetic variants that influence the height of an individual. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In a study of over 250,000 individuals using genome-wide data, the study was able to identify 697 variants that determine an individuals height.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Wood et al (2014) – Defining the role of common variation in the genomic and biological architecture of adult human height. In Nature Genetics. Online <a rel="noreferrer noopener" href="http://www.nature.com/ng/journal/v46/n11/full/ng.3097.html" target="_blank">here</a>.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The history of human height allows us to track progress against undernourishment and disease and makes it possible to understand who started to benefit from modern advancements when.</p> <!-- /wp:paragraph --> <!-- wp:heading --> <h2>The history of human height</h2> <!-- /wp:heading --> <!-- wp:heading {"level":3} --> <h3>The Last Two Millennia</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Over the last two millennia, human height, based on skeletal remains, has stayed fairly steady, oscillating around 170cm. With the onset of modernity, we see a massive spike in heights in the developed world. It is worth noting that using skeletal remains is subject to measurement error with respect to the estimated height and time period.</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":6} --> <h6>Male heights from skeletons in Europe, 1-2000 – Clark{ref}<br> The source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.<br> The original source of the Data is Steckel, 2001. “Health and Nutrition in the Pre-Industrial Era: Insights from a Millennium of Average Heights in Northern Europe.” Working Paper 8542. Cambridge, Mass.: National Bureau of Economic Research., figures 3 and 4,<br><br>and<br><br>Koepke, Nikola, and Joerg Baten. 2005. “The Biological Standard of Living in Europe during the Last Two Millennia.” European Review of Economic History 9(1): 61–95. A version of this paper is online <a href="http://www.econstor.eu/bitstream/10419/47594/1/574888918.pdf">here</a>.{/ref}</h6> <!-- /wp:heading --> <!-- wp:image {"align":"center","id":2704} --> <div class="wp-block-image"><figure class="aligncenter"><img src="http://ourworldindata.org/app/uploads/2013/10/male-heights-from-skeletons-in-europe-1-2000-clark-645x403.png" alt="Male heights from skeletons in Europe, (1–2000) – Clark" class="wp-image-2704"/></figure></div> <!-- /wp:image --> <!-- wp:heading {"level":3} --> <h3>Increase of human height over two centuries</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p></p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The University of Tuebingen provides data on human height for men in many countries around the world from 1810 to 1980. It gives us a perspective of changes over almost two centuries. We see this data in the charts.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="border: 0px none;" src="https://ourworldindata.org/grapher/average-height-of-men-for-selected-countries" scrolling="no" width="100%" height="660"></iframe> <!-- /wp:html --> <!-- wp:paragraph --> <p>Human height has steadily increased over the past 2 centuries across the globe. This trend is in line with general improvements in health and nutrition during this period. Historical data on heights tends to come from soldiers (conscripts), convicted criminals, slaves and servants. It is for this reason much of the historical data focuses on men. Recent data on heights uses additional sources including surveys and medical records.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="border: 0px none;" src="http://ourworldindata.org/grapher/average-height-of-men-for-selected-countries?tab=map" scrolling="no" width="100%" height="660"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":3} --> <h3>How has height changed globally?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>People today are taller, on average, than their ancestors 100 years ago. This is true for every country in the world. But how much have human heights changed, and how does this vary across the world?</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The data shown here is based on a global study, published by NCD Risk Factor Collaboration (NCD-RisC) in 2016.{ref}NCD Risk Factor Collaboration (NCD-RisC) (2016). <a rel="noreferrer noopener" href="https://cdn.elifesciences.org/articles/13410/elife-13410-v2.pdf" target="_blank">A century of trends in adult human height</a>. <em>eLife,</em> p. e13410.{/ref} This dataset is based on both demographic and health surveys as well as academic studies. It reports mean height for adults by year of birth, from 1896 to 1996; in other words, people who had reached their eighteenth birthday from 1914 to 2014.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>If we compare adult men born in 1996 versus those born a century earlier – men who had reached the age of 18 in 2014 versus 1914 – we see that the global mean height for men increased from 162 to 171 centimeters (cm). We see this in the chart. For women, this increased from 151 cm to 159 cm.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The average young adult today is around 8 or 9 cm, or about 5%, taller than their ancestors 100 years ago.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/average-height-by-year-of-birth"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":4} --> <h4>Regional variation in height changes</h4> <!-- /wp:heading --> <!-- wp:paragraph --> <p>There are significant regional variations in change in average human heights.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The following slope chart illustrates the changes in mean male height by region. Here we see that the largest gains in height were seen for European and Central Asian men; their mean height increased by 11 cm, overtaking North American men in the process. The smallest absolute gains were seen for South Asian men; mean height increased by only 5 cm.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Overall, the regional variation in male heights increased over the last century. For men born in 1896, there was an eight centimetre gap in mean height between the shortest and tallest region. 100 years later, this gap had increased to 12 cm.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>We can also see this regional change for women, <a href="https://ourworldindata.org/grapher/change-in-female-height-slope">here</a>. Again, the trends are similar: heights of European and Central Asian women increased the most – gaining 11 cm and overtaking North American women. Compared to men, there was less of a divergence in female heights by region: for women born in 1896, the gap between the tallest and shortest region was 9 to 10 cm. A century later, this was almost the same – 10 to 11 cm.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/change-in-male-height-slope"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":4} --> <h4>Which countries have seen the greatest absolute gains in height?</h4> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Some countries have seen much larger increases in average human height than others.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The chart shows the absolute change in the mean height of adult women for each country. As reflected in the regional trends above, the largest increases were typically in –but not limited to – Europe and Central Asia. The largest absolute change was seen for South Korean women, whose mean height increased by 20 cm. Compare this to Madagascar, which had the smallest gain of only 1.5 cm.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In <a href="https://ourworldindata.org/grapher/change-in-male-height">this chart</a>, we can see the same metric for men. Iranian men saw the largest change, gaining 16.5 cm in mean height, while men from the Marshall Islands grew by only 0.5 cm.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Despite variation across countries, men and women globally saw similar gains: about 8 to 9 cm.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/absolute-gains-in-mean-female-height"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":4} --> <h4>Which countries have seen the greatest relative gains in height?</h4> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Relative changes offer a different perspective on changes in average human heights, illustrated <a rel="noopener noreferrer" href="https://ourworldindata.org/grapher/relative-change-male-height" target="_blank">here for men</a> and <a rel="noopener noreferrer" href="https://ourworldindata.org/grapher/relative-change-in-female-height" target="_blank">here for women</a>.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>While average height of men around the world increased by 5%, the percentage change in the height of Iranian men was double that at 10%. By contrast, Marshallese men grew by less than 0.5%. South Korean women saw the largest relative increase – 15% – while the height of Tuvalese women increased by less than 1%.</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":4} --> <h4>Did heights across the world increase more for men or women?</h4> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Did men or women see the greatest increase in height over this period? It depends on the country.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>At the global level, the relative increase in mean height was the same for men and women: around five percent. But as we see, there is significant variation across countries. This chart shows the percentage change for men on the y-axis, and for women on the x-axis. The grey line here represents parity: where the change was the same for both sexes. Countries which lie above the grey line saw greater height increase for men than for women; for countries below the line, the opposite is true.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Some countries saw very different changes for men and women. In South Korea, for example, mean height for women increased by 14% versus 9% for men. In the Philippines the opposite was true: male height increased by around 5% versus only 1% for women.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/increase-male-vs-female-height"></iframe> <!-- /wp:html --> <!-- wp:heading --> <h2>Human height across the world</h2> <!-- /wp:heading --> <!-- wp:heading {"level":3} --> <h3>How does human height vary across the world?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Human height is a partly heritable trait. However, non-genetic, environmental factors during pregnancy, childhood, and adolescence – such as nutrition and health – have an impact on the population-wide distribution of height. As such, variations in height across the world <a href="https://ourworldindata.org/human-height#what-explains-differences-in-human-height">indicate</a> not only genetic differences, but also general differences in living standards.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Here, we examine variations in mean male and female heights by country. </p> <!-- /wp:paragraph --> <!-- wp:heading {"level":4} --> <h4>How tall are men across the world?</h4> <!-- /wp:heading --> <!-- wp:paragraph --> <p>The global mean height of adult men born in 1996 is 171 centimetres (cm), or 5 foot and 7.5 inches. There are large variations in average height between nations: the shortest being men in Timor at 160 cm, and the tallest from the Netherlands at 182 cm. This represents a range of 22 cm, or 8 inches.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>There are also clear distinctions between regions. On average, the shortest men can be found in South Asia, where the average height is 165 cm, while the tallest are from Europe and Central Asia, at 177 cm.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/average-height-of-men"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":4} --> <h4>How tall are women across the world?</h4> <!-- /wp:heading --> <!-- wp:paragraph --> <p>On average, women are almost 12 centimetres shorter than men.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The global average height of adult women born in 1996 is 159 cm, or 5 foot and 3 inches. The country with the shortest women is Guatemala, where the average height is 149 cm, while Latvian women are 20 cm taller (at 169 cm).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>There are also regional variations in the heights of women. As with men, the tallest women are European and Central Asian, with a mean height of 164 cm, while women from South Asia tend to be the shortest, measuring 153 cm on average.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/average-height-of-women"></iframe> <!-- /wp:html --> <!-- wp:heading --> <h2>Gender differences in height</h2> <!-- /wp:heading --> <!-- wp:heading {"level":3} --> <h3>How much taller are men than women?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Globally, the mean height of women is about four and a half inches, or 12 centimeters (cm), shorter than that of men. In the latest available data, the <a href="https://ourworldindata.org/grapher/average-height-by-year-of-birth" target="_blank" rel="noopener noreferrer">global mean height</a> for men was 171 cm, versus 159 cm for women.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This height disparity between the sexes is present everywhere in the world. It’s largest in North Macedonia, where men are typically 18.5 cm taller than women, and smallest in The Gambia, where the mean difference is only 4.5 cm. You can see the absolute difference in mean heights for any country in the world <a href="https://ourworldindata.org/grapher/average-height-by-year-of-birth">here</a>.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The scatter plot illustrates the difference between the average heights of men and women around the world. It plots average male height on the y-axis, and average female height on the x-axis. The grey line shows where these heights are equal. As we can see, all countries lie above this line; this means that on average, men are taller than women in every country in the world.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/mean-height-males-vs-females"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":4} --> <h4>Where are men much taller than women?</h4> <!-- /wp:heading --> <!-- wp:paragraph --> <p>The following map shows the ratio of male-to-female average heights across the world. Globally, the ratio is 1.07, meaning that on average, men are about 7% taller than women.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Across the world, this relative difference between the sexes can vary from only 2-3% to over 12%. Regionally, the gap in mean height between men and women is smallest across Sub-Saharan Africa: there, many countries lie below the global average difference of 7%.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The global ratio – around 1.07 – has remained pretty much constant since the data began in 1896 despite large increases in absolute terms in the average heights of both men and women.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Despite a relatively consistent ratio at the global level, some countries have seen significant changes. A century ago, South Korean males were on average 18 cm taller than their female counterparts; this difference has fallen to 13 cm, meaning that South Korean women have seen larger absolute gains in height than South Korean men. By contrast, in the Philippines this difference has doubled from 7 cm to 14 cm, meaning that average height of Filipino men has increased faster than that of Filipino women.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/male-to-female-height-ratio"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":3} --> <h3>How do expected growth trends differ for boys and girls?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>As we’ve previously explored, the average man is taller than the average woman: this holds true across all countries in the world. But when does this differentiation in heights take place? How do the growth trends for boys and girls in childhood differ?</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The chart presents the expected growth rates for healthy boys and girls during childhood and adolescence. It combines data from World Health Organization (WHO) growth reference standards for infants, children, and adolescents. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>These standards are used to assess the degree to which the health and nutritional demands for growth and development are met around the world. The studies included healthy children from a diverse set of ethnicities, in order to reduce the impact of genetic variability between populations.{ref}See <a href="https://www.who.int/childgrowth/standards/Technical_report.pdf?ua=1 ">here</a> and <a href="https://www.who.int/growthref/growthref_who_bull.pdf?ua=1">here</a> at the WHO.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>As the chart shows, boys are typically a fraction taller than girls at birth. Both sexes grow very quickly in the first six months of life, with this growth rate decreasing gradually during the following years. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>After three years of life, both boys and girls have approximately doubled in height since birth, but boys are still slightly taller.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>By the age of eight, the rate of growth for boys begins to slow, but for girls it stays high and around the age of nine, we see that the median height of girls is slightly higher than for boys.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>At 11 years old, girls are typically more than two centimeters taller than boys. But around this age the rate of growth of girls begins to slow and boys start to grow faster again so that around the age of 13, boys overtake again.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Girls tend to stop growing a few years earlier than boys, reaching their final adult height around 16 years old. Boys peak later, at around 18 years old. At this stage, they’re 13 centimeters taller than girls on average.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Of course, not all children grow at the same rate. The ribbons around the median growth lines on the chart represent two standard deviations above and below the median expected trend. Heights which fall within two standard deviations of the median are considered to be ‘healthy growth’. </p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p><strong>Stunted growth</strong>: A child whose height-for-age falls below this ribbon is considered to be ‘stunted’ – this means their height is too short for their age.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Stunting typically occurs during the first two years of life, since this is when growth is fastest and sufficient nutrition is crucial. This means environmental factors have an important effect during this period.{ref}Martorell, R. (1989). Body size, adaptation and function. Human Organization, 15-20.{/ref} There is evidence to suggest that ‘catch-up growth’ – growth that is faster than normal for age and follows a period of growth inhibition – is possible if environmental factors improve.{ref}Jee, Y. H., Baron, J., Phillip, M., & Bhutta, Z. A. (2014). Malnutrition and catch-up growth during childhood and puberty. World Review of Nutrition and Dietetics, 109, 89.{/ref}{ref}Perkins, J. M., Subramanian, S. V., Davey Smith, G., & Özaltin, E. (2016). Adult height, nutrition, and population health. Nutrition Reviews, 74(3), 149-165.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The expected average height of a healthy population should be 163 cm for women and 176.5 cm for men – as defined by the WHO growth reference standards. Interestingly, the global average height is 159.5 cm for women, and 171 cm for men – it’s lower than we’d expect. This disparity between the actual and expected global average height may be due to the fact that historically, and still today, a large share of children are stunted. In 1990, around 40% were stunted. It has fallen since then to around 22% in 2017, but with large variations across the world.</p> <!-- /wp:paragraph --> <!-- wp:image {"align":"center","id":23871,"linkDestination":"custom"} --> <div class="wp-block-image"><figure class="aligncenter"><a href="https://owid.cloud/app/uploads/2019/06/Healthy20height20growth20curves.png"><img src="https://owid.cloud/app/uploads/2019/06/Healthy20height20growth20curves-633x550.png" alt="" class="wp-image-23871"/></a></figure></div> <!-- /wp:image --> <!-- wp:heading --> <h2>Human height in prehistoric times</h2> <!-- /wp:heading --> <!-- wp:heading {"level":3} --> <h3>Mesolithic times, middle ages, subsistence societies and modern foragers</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>In the last two centuries height has substantially increased in many world regions, but up until modern times the archeological record of human skeletons suggests that there was no trend towards improving living conditions.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The two tables present estimates of the heights of men in foraging and subsistence societies with those from preindustrial societies. There is no clear difference between these records suggesting that preindustrial societies were just as badly off as their ancestors millennia ago – which is consistent with the 'Malthusian Model' of the pre-growth economy, which we discuss in <a href="https://owid.cloud/economic-growth">our entry on economic growth</a>.</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":6} --> <h6>Heights of adult males in modern foraging and subsistence societies – Clark (2008){ref}<br> The Source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.<br> Notes: *denotes heights adjusted to ages 21–40. The heights of all !Kung males averaged 2 centimeters less than those aged 21–40.<br><br>The original sources of Clark are:<br><br>Steckel, Richard H., and Joseph M. Prince. 2001. “Tallest in the World: Native Amer- icans of the Great Plains in the Nineteenth Century.” American Economic Review 91(1): 287–294.<br><br> b Page 102 in Kelly, Robert L. 1995. The Foraging Spectrum: Diversity in Hunter-Gatherer Lifeways. Washington, D.C.: Smithsonian Institution Press.<br><br> c Page 223 in Jenike, Mark R. 2001. “Nutritional Ecology: Diet, Physical Activity, and Body Size.” In Hunter-Gatherers: an Interdisciplinary Perspective, eds. Catherine Panter-Brick, Robert H. Layton, and Peter Rowley-Conwy. Cambridge, U.K.: Cambridge University Press, pp. 205–238.<br><br> d Page 207 in Hawkes, Ernest William. 1916. “Skeletal Measurements and Observations of the Point Barrow Eskimo with Comparisons with Other Eskimo Groups.” American An- thropologist, New Series 18(2): 203–244.<br><br> e Page 327 in Boaz, Franz. 1891. “Physical Characteristics of the Indians of the North Pacific Coast.” American Anthropologist 2(4): 321–328.<br><br> f Page 69 in Trevor, J. C. 1947. “The Physical Characteristics of the Sandawe.” Journal of the Royal Anthropological Institute of Great Britain and Ireland 77(1): 61–78.<br><br> g Page 751 in Boaz 1899. “Anthropometry of Shoshonean Tribes.” American Anthropologist New Series 1(4): 751–758.<br><br> h Page 267 in Guppy, H. B. 1886. “On the Physical Characters of the Solomon Islanders.” Journal of the Anthropological Institute of Great Britain and Ireland 15: 266–285.<br><br> i Page 172 in Truswell, A. Stewart, and John D. L. Hansen. 1976. “Medical Research among the !Kung.” In Kalahari Hunter-Gatherers, eds. Richard B. Lee and Irven DeVore. <br>Cambridge, Mass.: Harvard University Press, pp. 166–194.<br><br> j Pages 180–82 in Hurtado, A. Magdalena, and Kim R. Hill. 1987. “Early Dry Season Subsistence Ecol- ogy of Cuiva (Hiwi) Foragers of Venezuela.” Human Ecology 15(2): 163–187.{/ref}</h6> <!-- /wp:heading --> <!-- wp:shortcode --> <table><thead><tr><th scope="col" colSpan="1">Period</th><th scope="col" colSpan="1">Group</th><th scope="col" colSpan="1">Location</th><th scope="col" colSpan="1">Ages</th><th scope="col" colSpan="1">Height (centimeters)</th></tr></thead><tbody><tr><td colSpan="1" rowspan="1">1892</td><td colSpan="1" rowspan="1">Plains Indians (a)</td><td colSpan="1" rowspan="1">United States</td><td colSpan="1" rowspan="1">23–49</td><td colSpan="1" rowspan="1">172</td></tr><tr><td colSpan="1" rowspan="1">1970s</td><td colSpan="1" rowspan="1">Anbarra (b)</td><td colSpan="1" rowspan="1">Australia</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">172*</td></tr><tr><td colSpan="1" rowspan="1">1970s</td><td colSpan="1" rowspan="1">Rembarranga (c)</td><td colSpan="1" rowspan="1">Australia</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">171*</td></tr><tr><td colSpan="1" rowspan="1">1910</td><td colSpan="1" rowspan="1">Alaskan Inuit (d)</td><td colSpan="1" rowspan="1">United States</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">170*</td></tr><tr><td colSpan="1" rowspan="1">1890</td><td colSpan="1" rowspan="1">Northern Pacific Indians (e)</td><td colSpan="1" rowspan="1">United States</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">167*</td></tr><tr><td colSpan="1" rowspan="1">1944</td><td colSpan="1" rowspan="1">Sandawe (f)</td><td colSpan="1" rowspan="1">Tanzania</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">167*</td></tr><tr><td colSpan="1" rowspan="1">1891</td><td colSpan="1" rowspan="1">Shoshona (g)</td><td colSpan="1" rowspan="1">United States</td><td colSpan="1" rowspan="1">20–59</td><td colSpan="1" rowspan="1">166</td></tr><tr><td colSpan="1" rowspan="1">1970s</td><td colSpan="1" rowspan="1">Fox Basin Inuit (c)</td><td colSpan="1" rowspan="1">Canada</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">166*</td></tr><tr><td colSpan="1" rowspan="1">1880s</td><td colSpan="1" rowspan="1">Solomon Islanders (h)</td><td colSpan="1" rowspan="1">Solomon Is.</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">165*</td></tr><tr><td colSpan="1" rowspan="1">1906</td><td colSpan="1" rowspan="1">Canadian Inuitd (d)</td><td colSpan="1" rowspan="1">Canada</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">164*</td></tr><tr><td colSpan="1" rowspan="1">1969</td><td colSpan="1" rowspan="1">!Kung (i)</td><td colSpan="1" rowspan="1">Bostwana</td><td colSpan="1" rowspan="1">21–40</td><td colSpan="1" rowspan="1">163</td></tr><tr><td colSpan="1" rowspan="1">1980s</td><td colSpan="1" rowspan="1">Ache (j)</td><td colSpan="1" rowspan="1">Paraguay</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">163*</td></tr><tr><td colSpan="1" rowspan="1">1970s</td><td colSpan="1" rowspan="1">Hadza (c)</td><td colSpan="1" rowspan="1">Tanzania</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">163*</td></tr><tr><td colSpan="1" rowspan="1">1985</td><td colSpan="1" rowspan="1">Hiwi (j)</td><td colSpan="1" rowspan="1">Venezuela</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">156*</td></tr><tr><td colSpan="1" rowspan="1">1980s</td><td colSpan="1" rowspan="1">Batak (c)</td><td colSpan="1" rowspan="1">Philippines</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">155*</td></tr><tr><td colSpan="1" rowspan="1">1980s</td><td colSpan="1" rowspan="1">Agta (c)</td><td colSpan="1" rowspan="1">Philippines</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">155*</td></tr><tr><td colSpan="1" rowspan="1">1980s</td><td colSpan="1" rowspan="1">Aka (c)</td><td colSpan="1" rowspan="1">Central African Republic</td><td colSpan="1" rowspan="1">Adults</td><td colSpan="1" rowspan="1">155*</td></tr></tbody></table> <!-- /wp:shortcode --> <!-- wp:heading {"level":6} --> <h6>Heights from skeletal remains by period, from mesolithic times until now, globally – Clark (2008){ref}<br> The Source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.<br> The original sources of Clark are:<br>a Page 133 in Meiklejohn, Christopher, and Marek Zvelebil. 1991. “Health Status of European Populations at the Agricultural Transition and the Implications for the Adoption of Farming.” In Health in Past Societies: Biocultural Interpretations of Human Skeletal Remains in Archaeological Contexts, eds. Helen Bush and Marek Zvelebil. British Archaeological Reports International Series 567. Oxford: Tempus Reparatum.<br><br> b Pages 51–52 in Bennike, Pia. 1985. Paleopathology of Danish Skeletons. Copenhagen: Akademisk Forlag.<br><br> c Steckel 2001. “Health and Nutrition in the PreIndustrial Era: Insights from a Millen- nium of Average Heights in Northern Europe.” Working Paper 8542. Cambridge, Mass.: National Bureau of Economic Research.<br><br> d Masali, M. 1972. “Bone Size and Proportions as Revealed by Bone Measurements and Their Meaning in Environmental Adaptation.” Journal of Human Evolution 1: 187–197.<br><br> e Mellink, Machteld J., and J. Lawrence Angel. 1970. “Excavations at Karatas-Semay U.K. <br>and Elmali, Lycia, 1969.” American Journal of Archaeology 74(3): 245– 259.<br><br> f Angel, J. Lawrence. 1971. The People of Lerna: Analysis of a Prehistoric Aegean Popula- tion. Athens: American School of Classical Studies.<br><br> g Pages 43–45 in Houghton, Philip. 1996. People of the Great Ocean: Aspects of the Human Biology of the Early Pacific. Cambridge, U.K.: Cambridge University Press.<br><br> h Boix, Carles, and Frances Rosenbluth. 2004. “Bones of Contention: The Political Economy of Height Inequality.” Working Paper, University of Chicago, Department of Political Science. Table 6.<br><br> i Dutta, Pratap C. 1984. “Biological Anthropology of Bronze Age Harappans: New Perspectives.” In The People of South Asia: The Biological Anthropology of India, Pakistan, and Nepal, ed. John R. Lukacs. New York: Plenum Press, pp. 59–76.{/ref}</h6> <!-- /wp:heading --> <!-- wp:shortcode --> <table><thead><tr><th scope="col" colSpan="1">Period</th><th scope="col" colSpan="1">Location</th><th scope="col" colSpan="1">Observations</th><th scope="col" colSpan="1">Height (centimeters)</th></tr></thead><tbody><tr><td colSpan="1" rowspan="1">Mesolithic (a)</td><td colSpan="1" rowspan="1">Europe</td><td colSpan="1" rowspan="1">82</td><td colSpan="1" rowspan="1">168</td></tr><tr><td colSpan="1" rowspan="1">Neolithic (a,b)</td><td colSpan="1" rowspan="1">Europe</td><td colSpan="1" rowspan="1">190</td><td colSpan="1" rowspan="1">167</td></tr><tr><td colSpan="1" rowspan="1"></td><td colSpan="1" rowspan="1">Denmark</td><td colSpan="1" rowspan="1">103</td><td colSpan="1" rowspan="1">173</td></tr><tr><td colSpan="1" rowspan="1">1600–1800 ( c)</td><td colSpan="1" rowspan="1">Holland</td><td colSpan="1" rowspan="1">143</td><td colSpan="1" rowspan="1">167</td></tr><tr><td colSpan="1" rowspan="1">1700–1800 ( c)</td><td colSpan="1" rowspan="1">Norway</td><td colSpan="1" rowspan="1">1956</td><td colSpan="1" rowspan="1">165</td></tr><tr><td colSpan="1" rowspan="1">1700–1850 ( c)</td><td colSpan="1" rowspan="1">London</td><td colSpan="1" rowspan="1">211</td><td colSpan="1" rowspan="1">170</td></tr><tr><td colSpan="1" rowspan="1">Pre-Dynastic (d)</td><td colSpan="1" rowspan="1">Egypt</td><td colSpan="1" rowspan="1">60</td><td colSpan="1" rowspan="1">165</td></tr><tr><td colSpan="1" rowspan="1">Dynastic (d)</td><td colSpan="1" rowspan="1">Egypt</td><td colSpan="1" rowspan="1">126</td><td colSpan="1" rowspan="1">166</td></tr><tr><td colSpan="1" rowspan="1">2500 BC (e)</td><td colSpan="1" rowspan="1">Turkey</td><td colSpan="1" rowspan="1">72</td><td colSpan="1" rowspan="1">166</td></tr><tr><td colSpan="1" rowspan="1">1700 BC (f)</td><td colSpan="1" rowspan="1">Lerna, Greece</td><td colSpan="1" rowspan="1">42</td><td colSpan="1" rowspan="1">166</td></tr><tr><td colSpan="1" rowspan="1">2000–1000 BC (g)</td><td colSpan="1" rowspan="1">Harappa, India</td><td colSpan="1" rowspan="1">—</td><td colSpan="1" rowspan="1">169</td></tr><tr><td colSpan="1" rowspan="1">300 BC–AD 250 (h)</td><td colSpan="1" rowspan="1">Japan (Yayoi)</td><td colSpan="1" rowspan="1">151</td><td colSpan="1" rowspan="1">161</td></tr><tr><td colSpan="1" rowspan="1">1200–1600 (h)</td><td colSpan="1" rowspan="1">Japan (medieval)</td><td colSpan="1" rowspan="1">20</td><td colSpan="1" rowspan="1">159</td></tr><tr><td colSpan="1" rowspan="1">1603–1867 (h)</td><td colSpan="1" rowspan="1">Japan (Edo)</td><td colSpan="1" rowspan="1">36</td><td colSpan="1" rowspan="1">158</td></tr><tr><td colSpan="1" rowspan="1">1450 (i)</td><td colSpan="1" rowspan="1">Marianas, Taumako</td><td colSpan="1" rowspan="1">70</td><td colSpan="1" rowspan="1">174</td></tr><tr><td colSpan="1" rowspan="1">1650 (i)</td><td colSpan="1" rowspan="1">Easter Island</td><td colSpan="1" rowspan="1">14</td><td colSpan="1" rowspan="1">173</td></tr><tr><td colSpan="1" rowspan="1">1500–1750 (i)</td><td colSpan="1" rowspan="1">New Zealand</td><td colSpan="1" rowspan="1">124</td><td colSpan="1" rowspan="1">174</td></tr><tr><td colSpan="1" rowspan="1">1400–1800 (i)</td><td colSpan="1" rowspan="1">Hawaii</td><td colSpan="1" rowspan="1">—</td><td colSpan="1" rowspan="1">173</td></tr></tbody></table> <!-- /wp:shortcode --> <!-- wp:heading --> <h2>Is the increase in human height coming to an end?</h2> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Human height for both men and women has <a href="https://ourworldindata.org/human-height#a-century-of-human-height-how-has-adult-height-changed-over-time">increased over the past century</a>: this is true of every country in the world. But, over the last few decades, human height in some countries have been stagnating. This is illustrated in the following charts which show the year-on-year relative change in average male and female heights by region. Positive values here indicate an increase in average height from one year to the next; zero indicates no change; and negative indicates a decline.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Here we can pull out several key points. Firstly, we see that changes in height across the world are gradual: average heights do not suddenly jump one year to the next, but instead tend to change at rates of less than 1% per year. Secondly, we see that across all regions, average human heights have experienced significant growth over the past century. But the trends also suggest that growth in average male heights have stagnated in Europe and Central Asia, while reversing in the Middle East and North Africa, East Asia and Pacific, and Sub-Saharan Africa. The story is largely the same for women, but with the addition that average female heights in North America have stagnated as well.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This seems like an unexpected result. Human height is positively <a href="https://ourworldindata.org/human-height#what-explains-differences-in-human-height">correlated with standards of living</a>; living standards have been increasing across the world in recent decades, so why would average human heights be stagnating or even falling? This trend is particularly curious for Sub-Saharan Africa, where average height appears to be falling the most while the <a href="https://africaindata.org/#/title-slide">region has simultaneously achieved progress</a> across many aspects of wellbeing.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In the next section we explore why this might be the case.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/annual-change-in-average-male-height"></iframe> <!-- /wp:html --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/annual-change-in-average-female-height"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":3} --> <h3>Why has growth in human height stagnated in rich countries?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Height is partly determined by genetics. Evolution aside, the genes of a population are fixed.{ref}This is based on the assumption that evolution is a very slow process that takes thousands of years to occur; the <a href="https://theconversation.com/human-evolution-is-still-happening-possibly-faster-than-ever-105683">pace</a> of evolution does vary, however.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>As such, it is reasonable to assume that there is an upper limit to average heights, at which nutritional and health factors are optimal. This scenario could explain the recent stagnation, especially in high income countries across Europe and Central Asia, where living standards are high.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>A study published in <i>Nature</i> examined the recent stagnation of heights in the Netherlands, the tallest population in the world.{ref}Schönbeck, Y., Talma, H., van Dommelen, P., Bakker, B., Buitendijk, S. E., HiraSing, R. A., & van Buuren, S. (2013). <a href="https://www.nature.com/articles/pr2012189#ref12">The world’s tallest nation has stopped growing taller: the height of Dutch children from 1955 to 2009</a>. <em>Pediatric research</em>, <em>73</em>(3), 371.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>They found similar results: that the 150 year increase in average heights in the Netherlands had came to an end in recent decades. They concluded that the reason for this is not entirely clear. They suggest that the Dutch may have reached the maximum mean height possible for the population. But they also hypothesized that recent lifestyle changes – not a genetic upper bound – may be hindering further increases in the average heights of men and women. For example, “easy access to fast food nowadays … may lead to inadequate nutrient intake, which may result in lower height”. Furthermore, “less energy expenditure due to a sedentary lifestyle leads to an increase in overweight and obesity … which, in turn, are related to lower height”.{ref}Freedman, D. S., Khan, L. K., Serdula, M. K., Dietz, W. H., Srinivasan, S. R., & Berenson, G. S. (2003). <a href="https://bmcpediatr.biomedcentral.com/articles/10.1186/1471-2431-3-3">The relation of menarcheal age to obesity in childhood and adulthood: the Bogalusa heart study</a>. <em>BMC pediatrics</em>, <em>3</em>(1), 3.{/ref} Additionally, “the high consumption of milk in the Netherlands, which has been linked to tallness, declined over the past decade from 63 litres per capita per year in 2000 to 60 in 2010”.{ref}Berkey, C. S., Colditz, G. A., Rockett, H. R., Frazier, A. L., & Willett, W. C. (2009). <a href="http://cebp.aacrjournals.org/content/18/6/1881.short">Dairy consumption and female height growth: prospective cohort study</a>. <em>Cancer Epidemiology and Prevention Biomarkers</em>, <em>18</em>(6), 1881-1887.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Therefore, the positive height trend in high-income countries may return if lifestyles improve.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Other studies have assessed the apparent stagnation, or slowed growth, in other high-income regions. One investigated not only the stagnation of heights in the United States, but also why they have fallen behind many countries across Europe.{ref}Komlos, J., & Lauderdale, B. E. (2007). <a href="https://www.tandfonline.com/doi/full/10.1080/03014460601116803?needAccess=true&instName=University+of+Oxford">The mysterious trend in American heights in the 20th century</a>. <em>Annals of human biology</em>, <em>34</em>(2), 206-215.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In the 19th century, <a href="https://ourworldindata.org/human-height#how-does-human-height-vary-across-the-world">North Americans were the tallest in the world</a>, but fell behind over the course of the 20th century. The study attributes this partly to nutrition, arguing that “there are reasons to believe that US diets are deficient to some extent as nearly a half of households' food expenditure is spent on food outside of the home.{ref}Koletzko, B., De la Guéronnière, V., Toschke, A. M., & Von Kries, R. (2004). <a href="https://www.cambridge.org/core/journals/british-journal-of-nutrition/article/nutrition-in-children-and-adolescents-in-europe-what-is-the-scientific-basis-introduction/2F641C6EC2DF3963A2689D010970331E">Nutrition in children and adolescents in Europe: what is the scientific basis? Introduction</a>. <em>British Journal of Nutrition</em>, <em>92</em>(S2), S67-S73.{/ref} This is troubling insofar as meals consumed outside of the home are less balanced than those consumed at family dinners.{ref}Bowman, S. A., & Vinyard, B. T. (2004). <a href="https://www.tandfonline.com/doi/full/10.1080/07315724.2004.10719357">Fast food consumption of US adults: impact on energy and nutrient intakes and overweight status</a>. <em>Journal of the american college of nutrition</em>, <em>23</em>(2), 163-168.{/ref} It also highlights “differences in the socio-economic and health systems of the West and Northern European welfare states and the more market-oriented economy of the USA”, arguing that “socio-economic inequality in America is much greater than in Western Europe and inequality has a negative effect on mean height.{ref}Steckel, R. H. (1995). <a href="https://search.proquest.com/docview/213176477?pq-origsite=gscholar">Stature and the Standard of Living</a>. <em>Journal of economic literature</em>, <em>33</em>(4), 1903.{/ref} Furthermore, the West European welfare states, in which a subsistence income is more or less guaranteed, provide a more comprehensive social safety net including unemployment insurance and a comprehensive health-insurance coverage.”{ref}Sunder, M. (2003). <a href="https://www.sciencedirect.com/science/article/pii/S1570677X03000406">The making of giants in a welfare state: the Norwegian experience in the 20th century</a>. <em>Economics & Human Biology</em>, <em>1</em>(2), 267-276.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":3} --> <h3>Why has average human height in Sub-Saharan Africa fallen?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>In Sub-Saharan Africa, the pattern is even more puzzling. Remarkably, the average male and female heights of the region have been falling since 1970, despite <a href="https://africaindata.org/#/title-slide">improvements in health and nutrition</a>. Some researchers argue that this is due to selection: the least healthy children <span style="display: inline !important; float: none; background-color: transparent; color: #333333; cursor: text; font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;">– </span>whose growth is stunted due to malnutrition <span style="display: inline !important; float: none; background-color: transparent; color: #333333; cursor: text; font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;">– </span>do not survive to adulthood, while the survivors are healthier and taller. When child mortality rates decrease, stunted children survive to adulthood, thus lowering the average adult height.{ref}Bozzoli, C., Deaton, A., & Quintana-Domeque, C. (2009). <a href="https://link.springer.com/article/10.1353/dem.0.0079">Adult height and childhood disease</a>. <em>Demography</em>, <em>46</em>(4), 647-669.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This explanation could apply to low income regions, where socioeconomic factors are improving but still relatively weak.</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":3} --> <h3>Will growth resume in the future?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Improvements in environmental factors such as nutrition and health could result in further increases in average heights. However, the factors that influence height have an upper limit: nutrient intake, for example, likely has limits above which benefits stop. As such, it’s possible that heights – particularly in countries where living standards are still relatively low – can further increase. But for the richest and tallest countries in the world today, heights may have reached their limit.</p> <!-- /wp:paragraph --> <!-- wp:heading --> <h2>What explains changes and differences in human height?</h2> <!-- /wp:heading --> <!-- wp:paragraph --> <p>There are large differences in human height <a href="https://ourworldindata.org/human-height#human-height-across-the-world">across the world</a>. These differences are not just geographical: human heights have changed significantly <a href="https://ourworldindata.org/human-height#human-height-over-time">over our history</a>, with increases in every country over the past century.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Height is determined by a combination of genetic and environmental factors. How our height might reflect our environment – today and in the past – has been a key focus area for research. Height is often seen as a proxy for ‘biological standards of living’: the World Health Organisation recommends its use “to predict health, performance, and survival”.{ref}World Health Organization. (1995). <a href="https://apps.who.int/iris/bitstream/handle/10665/37003/WHO_TRS_854.pdf">Physical status: The use of and interpretation of anthropometry, Report of a WHO Expert Committee</a>.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p> A study of male heights across 105 different countries determined that that “height and the HDI [Human Development Index] seem to be largely interchangeable as indicators of human well-being”.{ref}Grasgruber, P., Sebera, M., Hrazdíra, E., Cacek, J., & Kalina, T. (2016). <a href="https://www.sciencedirect.com/science/article/pii/S1570677X16300065">Major correlates of male height: A study of 105 countries</a>. <em>Economics & Human Biology</em>, <em>21</em>, 172-195.{/ref} This is illustrated in the following scatter plot which shows the relationship between a country’s Human Development Index and average male height by year of birth. Here we see that people are taller in countries with a higher standard of living.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Why is the relationship between individuals’ heights and a country’s socioeconomic development so strong?</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/human-development-index-vs-mean-male-height"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":3} --> <h3>How does nutrition affect health?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Nutrition is the one of the strongest determinants of human height.{ref}Perkins, J. M., Subramanian, S. V., Davey Smith, G., & Özaltin, E. (2016). <a href="https://academic.oup.com/nutritionreviews/article/74/3/149/1826348">Adult height, nutrition, and population health</a>. <em>Nutrition reviews</em>, <em>74</em>(3), 149-165.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Humans convert the chemical energy stored in the macronutrient constituents of food into energy. Dietary energy intake from food must balance energy expenditure due to metabolic functions and physical activity, plus extra energy costs such as growth during childhood.{ref}Joint, F. A. O. (2004). <a href="http://www.fao.org/3/y5686e/y5686e04.htm#bm04">Human energy requirements</a>. Report of a Joint FAO/WHO/UNU Expert Consultation, Rome, 17-24 October 2001.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Humans can adapt to an enduring low dietary energy intake, or undernourishment, by reducing the rate of growth, which leads to <a href="https://ourworldindata.org/hunger-and-undernourishment#too-little-height-for-age-stunting">stunting</a>, and restricts adult height. Insufficient dietary energy intakes across a population therefore result in a <a href="https://www-jstor-org.ezproxy.cul.columbia.edu/stable/pdf/44125943.pdf?ab_segments=0%252Fdefault-2%252Fcontrol">low</a> average adult height.{ref}Martorell, R. (1989). <a href="https://www.jstor.org/stable/44125943">Body size, adaptation and function</a>. <em>Human Organization</em>, 15-20.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Protein is an essential macronutrient in a healthy diet, and is necessary for a wide range of biological processes, including growth. It is made up of basic building blocks called amino acids. Some amino acids - known as the nutritionally essential amino acids - cannot be made in the body, and so must come from the diet. Diets must provide adequate quantities of the full range of amino acids for human growth and metabolism. The capacity of different protein sources to satisfy these demands, based on their amino acid profile and digestibility, is defined as ‘protein quality’.{ref}Joint, W. H. O. (2007). <a href="https://www.who.int/nutrition/publications/nutrientrequirements/WHO_TRS_935/en/">Protein and amino acid requirements in human nutrition</a>. <em>World Health Organization technical report series</em>, (935), 1.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The table shows the protein quality of different foods. Animal source food usually contains higher quality protein than plant source food. They are also a good source of micronutrients, such as iron and zinc, which are necessary for metabolism.{ref}Neumann, C., Harris, D. M., & Rogers, L. M. (2002). <a href="https://www.sciencedirect.com/science/article/pii/S0271531701003748">Contribution of animal source foods in improving diet quality and function in children in the developing world</a>. <em>Nutrition research</em>, <em>22</em>(1-2), 193-220.{/ref} A diet that includes a large proportion of animal source food is therefore likely to provide sufficient amounts of micronutrients and essential amino acids.</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":6} --> <h6>Protein quality of common foods{ref}Hoffman, J. R., & Falvo, M. J. (2004). Protein–which is best?. Journal of sports science & medicine, 3(3), 118.{/ref} {ref}Nosworthy, M. G., Neufeld, J., Frohlich, P., Young, G., Malcolmson, L., & House, J. D. (2017). Determination of the protein quality of cooked Canadian pulses. Food science & nutrition, 5(4), 896-903.{/ref} {ref}Phillips, S. M. (2016). The impact of protein quality on the promotion of resistance exercise-induced changes in muscle mass. Nutrition & metabolism, 13(1), 64.{/ref} {ref}Schaafsma, G. (2000). The protein digestibility–corrected amino acid score. The Journal of nutrition, 130(7), 1865S-1867S.{/ref}</h6> <!-- /wp:heading --> <!-- wp:shortcode --> <table><thead><tr><th scope="col" colSpan="1">Protein Source</th><th scope="col" colSpan="1">PDCAAS Value</th></tr></thead><tbody><tr><td colSpan="1" rowspan="1">Egg</td><td colSpan="1" rowspan="1">1</td></tr><tr><td colSpan="1" rowspan="1">Milk</td><td colSpan="1" rowspan="1">1</td></tr><tr><td colSpan="1" rowspan="1">Beef</td><td colSpan="1" rowspan="1">0.92</td></tr><tr><td colSpan="1" rowspan="1">Pea</td><td colSpan="1" rowspan="1">0.64</td></tr><tr><td colSpan="1" rowspan="1">Lentil</td><td colSpan="1" rowspan="1">0.63</td></tr><tr><td colSpan="1" rowspan="1">Black bean</td><td colSpan="1" rowspan="1">0.53</td></tr><tr><td colSpan="1" rowspan="1">Peanut</td><td colSpan="1" rowspan="1">0.52</td></tr><tr><td colSpan="1" rowspan="1">Chickpea</td><td colSpan="1" rowspan="1">0.52</td></tr><tr><td colSpan="1" rowspan="1">Rice</td><td colSpan="1" rowspan="1">0.42</td></tr><tr><td colSpan="1" rowspan="1">Wheat</td><td colSpan="1" rowspan="1">0.42</td></tr></tbody></table> <!-- /wp:shortcode --> <!-- wp:paragraph --> <p>A study by Headey (2018) of dietary patterns in lower-income countries suggests there is a strong association between the consumption of animal sourced foods and height.{ref}Headey, D., Hirvonen, K., & Hoddinott, J. (2018). <a href="https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Headey%2C+D.%2C+Hirvonen%2C+K.%2C+%26+Hoddinott%2C+J.+%282018%29.+Animal+sourced+foods+and+child+stunting.+American+Journal+of+Agricultural+Economics%2C+100%285%29%2C+1302-1319.&btnG=">Animal sourced foods and child stunting</a>. <em>American Journal of Agricultural Economics</em>, <em>100</em>(5), 1302-1319.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>For instance, animal proteins comprise 9.5% of energy intake in Madagascar, where the average male height is 161.5 cm; Botswanans get 12.5% of their calories from animal proteins, and the men are 10 cm taller on average. But even larger height disparities begin to arise at high levels of animal protein intake.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In high-income countries, where animal protein intake is high, Grasgruber (2014) found that the strongest predictor of male height is the ratio of high-quality animal proteins - from milk products, red meat, and fish - to low-quality plant proteins - from wheat, rice and other cereals.{ref}Grasgruber, P., Cacek, J., Kalina, T., & Sebera, M. (2014). <a href="https://www.sciencedirect.com/science/article/pii/S1570677X14000665">The role of nutrition and genetics as key determinants of the positive height trend</a>. <em>Economics & Human Biology</em>, <em>15</em>, 81-100.{/ref} This could explain why some countries with very high socioeconomic status have shorter heights than we’d expect. Consider the difference between South Korea and the Netherlands: both have a very high HDI – over 0.9 – but the Dutch are nearly 8 centimeters taller (182.5 cm versus 175 cm). What separates them is their intake of animal protein: the Netherlands’ animal:plant protein ratio is 2.16 versus only 0.69 in South Korea.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Appropriate mixtures of plant source proteins - such as cereals plus legumes or oil seeds - are capable of providing the essential amino acids and micronutrients necessary for growth. However, <a href="https://ourworldindata.org/diet-compositions">diets </a>in low-income countries are often dependent on a single staple food source. In Bangladesh, for example, over 75% of dietary energy comes from cereals and grains, 90% of which is rice. By contrast, cereals and grains constitute less than a quarter of dietary energy in the United States. As such, low-income countries are unlikely to exhibit enough dietary diversity.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Animal proteins form an <a href="https://ourworldindata.org/diet-compositions#animal-based-foods-form-a-larger-part-of-our-diet-as-we-get-richer">increasingly</a> large part of our diets as income increases. Since nutrition plays a key role in determining height, there is an obvious relationship between income and height.{ref}Komlos, J. (1985). <a href="https://www.jstor.org/stable/pdf/1859662.pdf?refreqid=excelsior%3A6fea18b025235454469011ec3585e3e9">Stature and Nutrition in the Habsburg Monarchy: The Standard of Living and Economic Development in the Eighteenth Century</a>. <em>The American Historical Review,</em> <em>90</em>(5), 1149-1161. doi:10.2307/1859662{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p> A high level of socioeconomic development therefore predicts taller average heights.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/share-of-calories-from-animal-protein-vs-mean-male-height"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":3} --> <h3>How does health affect height?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Health – particularly in childhood – also influences human height. Disease during childhood can restrict growth because it reduces the availability of nutrients and raises metabolic requirements.{ref}Stephensen, C. B. (1999). <a href="https://academic.oup.com/jn/article/129/2/534S/4731689">Burden of infection on growth failure</a>. <em>The Journal of nutrition</em>, <em>129</em>(2), 534S-538S.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Children fighting disease have higher nutritional requirements during a period when nutrients are less available. As such, high incidences of disease should lead to shorter average heights.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Grasgruber (2016) found that the socioeconomic factor most strongly correlated with male height is child mortality.{ref}Grasgruber, P., Sebera, M., Hrazdíra, E., Cacek, J., & Kalina, T. (2016). <a href="https://www.sciencedirect.com/science/article/pii/S1570677X16300065">Major correlates of male height: A study of 105 countries</a>. <em>Economics & Human Biology</em>, <em>21</em>, 172-195.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This relationship is illustrated in the scatter plot, with child mortality rate on the y-axis and mean male height on the x-axis. A low child mortality rate suggests low incidences of disease, as well as sufficient nourishment, and hence predicts a taller average height. For example, 0.2% of children in Finland die before they are 5 years old compared to 7.4% of children in Afghanistan; the average male heights in Finland is significantly taller at 180 cm versus 165 cm.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The relationship between health and height is reinforced by the significant impact of healthcare expenditure. We see this reflected in Arab states where health expenditure is much lower than their income level would predict. For example, compare Oman and the Netherlands: the average male height of the Dutch is 182cm – 13 centimeters taller than the average in Oman. Both countries have high levels of <a href="https://ourworldindata.org/grapher/gdp-per-capita-maddison-2020?tab=chart&time=1950..latest&country=NLD+OMN">income per capita</a>. But the Netherlands spends much more on <a href="https://ourworldindata.org/grapher/total-healthcare-expenditure-gdp?tab=chart&country=NLD~OMN">healthcare</a>: healthcare expenditure in Oman is 4.0% of gross domestic product (GDP) versus 10.1% of GDP in the Netherlands.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Both child mortality and healthcare expenditure impact life expectancy: we would therefore expect them to be strong determinants of the relationship between standard of living and average height.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Total <a href="https://ourworldindata.org/fertility-rate">fertility rate</a> (the number of children per woman) also interacts with these determinants, making it the second strongest socioeconomic correlate of height. The role of fertility in high-income countries is marginal since fertility rates are already very low. But it gains statistical significance at lower incomes, where fertility rates are relatively high. In families where there are a large number of children, expenditure and food availability for each child is often lower. We might therefore expect that in countries where the fertility rate is high, health expenditure and nutritional quality per child is low, while incidence of disease is high.</p> <!-- /wp:paragraph --> <!-- wp:html --> <iframe style="width: 100%; height: 600px; border: 0px none;" src="https://ourworldindata.org/grapher/child-mortality-rate-vs-mean-male-height-cm"></iframe> <!-- /wp:html --> <!-- wp:heading {"level":3} --> <h3>The effects of immigration on height</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>In a pioneering study of Japanese immigrants to Hawaii published in 1939, Harry Shapiro found there to be a significant difference between the heights of Hawaiian-born Japanese and the Japanese immigrant population.{ref} Shapiro H (1939) Migration and Environment: a study of the physical characteristics of the Japanese immigrants to Hawaii and the effects of environment on their descendants. Oxford University Press {/ref} Shapiro concluded that environmental factors, particularly diet and healthcare, play a significant role in determining height and other physical characteristics. The underlying idea here is that migration from poor countries to rich ones may lead to dramatic changes between generations. In a similar study, Marcus Goldstein (1943) found there to be differences in the heights and other characteristics of the children of Mexican immigrants and their parents, as well as with native born Mexican children.{ref}Goldstein MS (1943) Demographic and Bodily Changes in Descendants of Mexican Immigrants. Austin, TX: University of Texas Institute of Latin American Studies{/ref}</p> <!-- /wp:paragraph --> <!-- wp:heading --> <h2>Distribution of adult heights</h2> <!-- /wp:heading --> <!-- wp:paragraph --> <p>We have looked in detail at <a href="https://ourworldindata.org/human-height#how-does-human-height-vary-across-the-world">how <i>mean</i> heights vary</a> across the world. But this tells us very little about the distribution of heights globally, regionally or within in a given country. How do heights vary: do most people have heights very similar to the average; or do they span a wide range?</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":3} --> <h3>Height is normally distributed</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Adult heights within a population are approximately normally distributed due to genetic and environmental variance.{ref}Komlos, J., & Kim, J. H. (1990). <a href="https://www.tandfonline.com/doi/abs/10.1080/01615440.1990.10594202?journalCode=vhim20">Estimating trends in historical heights</a>. <em>Historical Methods: A Journal of Quantitative and Interdisciplinary History</em>, <em>23</em>(3), 116-120.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Height is partly determined by the interaction of 423 genes with 697 variants.{ref}Wood, A. R., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., … & Amin, N. (2014). <a href="https://www.nature.com/articles/ng.3097.pdf">Defining the role of common variation in the genomic and biological architecture of adult human height</a>. <em>Nature genetics</em>, <em>46</em>(11), 1173.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>One of the basic rules of probability (known as the Central Limit Theorem) says the distribution of a trait that is determined by independent random variables, like height and genes, roughly follows a bell curve. This means the range of human heights in a population fall centrally around the mean height. In statistical terms, it’s also the case that the mean and median height are the same – they fall right in the middle of the distribution.{ref}Although the terms mean and median are often used interchangeably with ‘average’, their values can be very different. To calculate the <em>mean</em> of a range of values, we sum them all and divide by the number of values. To calculate the <em>median</em> we find the value which falls exactly in the middle of the range of values. In a normal distribution, the mean and median are the same. But for other distributions, they can be very different.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The normal distribution of heights allows us to make inferences about the range. Around 68% of heights will fall within one standard deviation of the mean height; 95% within two standard deviations; and 99.7% within three. If we know the mean and standard deviation of heights, we have a good understanding of how heights vary across a population.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Drawing upon height data from almost 150,000 twinned pairs born between 1886 and 1994, one study investigated the variance in heights across populations through time, and tried to explain how much could be explained by genetics versus environmental differences.{ref}Jelenkovic, A., Hur, Y. M., Sund, R., Yokoyama, Y., Siribaddana, S. H., Hotopf, M., … & Pang, Z. (2016). <a href="https://elifesciences.org/articles/20320#s4">Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994</a>. <em>Elife</em>, <em>5</em>, e20320.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>We see this distribution of heights in the chart. As an aggregate of the regions with available data – Europe, North America, Australia, and East Asia – they found the mean male height to be 178.4 centimeters (cm) in the most recent cohort (born between 1980 and 1994).{ref}This means this cohort reached the age of 18 (adulthood) between 1998 and 2012).{/ref} The standard deviation was 7.59 cm. This means 68% of men were between 170.8 and 186 cm tall; 95% were between 163.2 and 193.6 cm. Women were smaller on average, with a mean height of 164.7 cm, and standard deviation of 7.07 cm. This means 68% of women were between 157.6 and 171.8 cm; and 95% between 150.6 and 178.84 cm.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Regionally, the standard deviation of male heights is largest in North America and Australia, at 7.49 cm, and smallest in East Asia, at 6.37 cm. The pattern is the same for women, with 6.96 cm in North America and Australia, and 5.74 cm in East Asia. Some of the distribution of heights within a population is likely to reflect the degree of genetic variance.{ref}Hur, Y. M., Kaprio, J., Iacono, W. G., Boomsma, D. I., McGue, M., Silventoinen, K., … & He, M. (2008). <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2577073/">Genetic influences on the difference in variability of height, weight and body mass index between Caucasian and East Asian adolescent twins</a>. <em>International Journal of Obesity</em>, <em>32</em>(10), 1455.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:image {"align":"center","id":23884,"linkDestination":"custom"} --> <div class="wp-block-image"><figure class="aligncenter"><a href="https://owid.cloud/app/uploads/2019/06/distribution-1.png"><img src="https://owid.cloud/app/uploads/2019/06/distribution-1-775x550.png" alt="" class="wp-image-23884"/></a></figure></div> <!-- /wp:image --> <!-- wp:heading {"level":3} --> <h3>How does environment and living standards affect the distribution of heights?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Differences in height within a population are not only influenced by genetic variance. Greater environmental variance within a population is also reflected by a wider distribution of heights. The distribution of heights has therefore be used as one indicator of socioeconomic inequality in the past.{ref}Van Zanden, J. L., Baten, J., Foldvari, P., & Van Leeuwen, B. (2014). <a href="https://onlinelibrary.wiley.com/doi/abs/10.1111/roiw.12014">The changing shape of global inequality 1820–2000; exploring a new dataset</a>. <em>Review of income and wealth</em>, <em>60</em>(2), 279-297.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In a population with perfectly equal access to nutrition and health resources, height distribution would only reflect genetic variation. Unequal access to these resources within a population means that wealthier individuals could have better health and nutrition, and therefore tend to grow taller than poorer ones; variance of heights therefore becomes larger. In other words, resource-based variance due to income inequality is added to genetic variance, widening the distribution of heights. Some empirical evidence across a range of contexts would support this hypothesis.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>For example, in India in the twentieth-century, an individual’s caste had a significant influence on their height. Members of the high castes – who had better access to nutrition and health resources – were 4.5 cm taller on average than members of the low castes.{ref}Guntupalli, A. M., & Baten, J. (2006). <a href="https://www.sciencedirect.com/science/article/pii/S0014498305000446">The development and inequality of heights in North, West, and East India 1915–1944</a>. <em>Explorations in Economic History</em>, <em>43</em>(4), 578-608.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Genetic differences between caste groups are unlikely to account for this height difference, due to the population’s common genetic heritage.{ref}Moorjani, P., Thangaraj, K., Patterson, N., Lipson, M., Loh, P. R., Govindaraj, P., … & Singh, L. (2013). <a href="https://www.cell.com/ajhg/fulltext/S0002-9297(13)00324-8#secsectitle0095">Genetic evidence for recent population mixture in India</a>. <em>The American Journal of Human Genetics</em>, <em>93</em>(3), 422-438.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Furthermore, Ayuda (2014) identified a relationship between socioeconomic status and height among Spanish conscripts from 1850 to 1958. They found that “literate conscripts were always taller than illiterate ones (by nearly 1 cm), and agricultural workers, with fewer economic resources, were significantly shorter (by 3.6 cm) than highly qualified non-manual workers”.{ref}Ayuda, M. I., & Puche-Gil, J. (2014). <a href="https://www.sciencedirect.com/science/article/pii/S1570677X14000677">Determinants of height and biological inequality in Mediterranean Spain, 1859–1967</a>. <em>Economics & Human Biology</em>, <em>15</em>, 101-119.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Height inequality, which is measured by the coefficient of variation (CV), is therefore positively correlated with income inequality, which is measured by the Gini coefficient.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This relationship was observed in a study of Kenya during the 20th century, where the CV mirrored fluctuations in the Gini coefficient. It also compared the height distributions of Uganda and Togo, where average heights were roughly equal, but there was higher income inequality in the former than the latter. Sure enough, the distribution of heights was wider in Uganda.{ref}Moradi, A., & Baten, J. (2005). <a href="https://www.sciencedirect.com/science/article/pii/S0305750X05000756">Inequality in Sub-Saharan Africa: new data and new insights from anthropometric estimates</a>. <em>World development</em>, <em>33</em>(8), 1233-1265.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":3} --> <h3>Genetics or environment: which contributes most to height variations in a country?</h3> <!-- /wp:heading --> <!-- wp:paragraph --> <p>So, both genetic and environmental factors have an impact on height variation. But which is the most important determinant? The relative contribution of genetic factors to differences in heights within populations is defined as ‘heritability’. Heritability is measured between 0 and 1; the higher the heritability, the larger the contribution of genetics. Twin and adoption studies typically estimate heritability at about 0.8.{ref}Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., … & Goddard, M. E. (2010). <a href="https://www.nature.com/articles/ng.608">Common SNPs explain a large proportion of the heritability for human height</a>. <em>Nature genetics</em>, <em>42</em>(7), 565.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This means that the majority of the variation in height within a population is due to genetic variation, but environmental variation due to socioeconomic factors also has an impact.</p> <!-- /wp:paragraph --> <!-- wp:heading --> <h2>Data Quality</h2> <!-- /wp:heading --> <!-- wp:paragraph --> <p>Accurately measuring the height of an individual is a straightforward task and so we should be confident that there is relatively little measurement error in the recorded data. This is unlikely to be the case when measuring the height of skeletons. What is more, the techniques used to date skeletal remains (such as radio carbon dating) only provide a probabilistic estimate.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>Another factor to consider is the potential sample bias from the historical sources. Since the height data is largely composed of soldiers, criminals, salves and servants, these groups may not be representative of the wider population. This problem has been highlighted by academics researching human height.{ref}Howard Bodenhorn, Timothy W. Guinnane, and Thomas Mroz. Biased samples yield biased results: What historical heights can teach us about past living standards. Vox CEPR Policy Portal (2015). Available online <a rel="noreferrer noopener" href="http://www.voxeu.org/article/what-historical-heights-can-teach-us-about-past-living-standards" target="_blank">here</a>.{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>In fact, the observed drop in height during the industrial revolution -- usually attributed to the negative health impacts of industrialisation -- can be explained by the labour market conditions that existed at the time. They argue that "as economies grew, tight labour markets discouraged military enlistments by the most productive workers, with those enlisting (and being measured) increasingly over-representing the less advantaged members of society."</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>By comparing the heights of soldiers in the US army with countries that enforced conscription we can see the bias more clearly. In countries that had conscription, the average height of conscripts was increasing over the period, meanwhile in the US where entry was voluntary, the heights of soldiers was falling</p> <!-- /wp:paragraph --> <!-- wp:heading {"level":6} --> <h6>Mean heights of volunteer soldiers in the US and in selected countries with conscription - Vox{ref}<br> Howard Bodenhorn, Timothy W. Guinnane, and Thomas Mroz. Biased samples yield biased results: What historical heights can teach us about past living standards. Vox CEPR Policy Portal (2015). Available online <a href="http://www.voxeu.org/article/what-historical-heights-can-teach-us-about-past-living-standards" target="_blank" rel="noreferrer noopener">here</a>.{/ref}</h6> <!-- /wp:heading --> <!-- wp:image {"align":"center","id":6443} --> <div class="wp-block-image"><figure class="aligncenter"><img src="http://ourworldindata.org/app/uploads/2013/10/ourworldindata_mean-heights-of-volunteer-soldiers-in-the-us-and-in-selected-countries-with-conscription-vox.png" alt="Mean heights of volunteer soldiers in the US and in selected countries with conscription - Vox" class="wp-image-6443"/></figure></div> <!-- /wp:image --> <!-- wp:heading --> <h2>Data Sources</h2> <!-- /wp:heading --> <!-- wp:heading {"level":4} --> <h4>NCD Risk Factor Collaboration (NCD-RisC)</h4> <!-- /wp:heading --> <!-- wp:list --> <ul><li><strong>Data:</strong> Male and female heights</li><li><strong>Geographical coverage:</strong> Global</li><li><strong>Time span:</strong> Adults heights for individuals born from 1896 to 1996.</li><li><strong>Available at:</strong> Online at NCD-RisC <a href="http://www.ncdrisc.org/index.html">here</a>.</li></ul> <!-- /wp:list --> <!-- wp:heading {"level":4} --> <h4>Tübingen Height Data Hub</h4> <!-- /wp:heading --> <!-- wp:list --> <ul><li><strong>Data:</strong> Many different datasets on human height</li><li><strong>Geographical coverage:</strong> Global</li><li><strong>Time span:</strong> Some of the data goes as far back as the 17th century.</li><li><strong>Available at:</strong> It is online at the University of Tübingen <a href="https://uni-tuebingen.de/fakultaeten/wirtschafts-und-sozialwissenschaftliche-fakultaet/faecher/fachbereich-wirtschaftswissenschaft/wirtschaftswissenschaft/lehrstuehle/volkswirtschaftslehre/wirtschaftsgeschichte/forschung/data-hub-height.html">here</a>.</li><li class="no-bullet"><em>The authors of this data are Jörg Baten, John Komlos, John Murray et al.</em></li></ul> <!-- /wp:list --> <!-- wp:heading {"level":4} --> <h4>Clio Infra project</h4> <!-- /wp:heading --> <!-- wp:list --> <ul><li><strong>Data:</strong> Heights by birth decade and country (male height equivalent in cm)</li><li><strong>Geographical coverage:</strong> 165 countries</li><li><strong>Time span:</strong> 1810-1989</li><li><strong>Available at:</strong> Online at Clio Infra <a href="http://www.clio-infra.eu/">here</a></li><li class="no-bullet"><em>The authors are Jörg Baten (University of Tuebingen) and Mathias Blum (Technical University Munich).<br></em></li></ul> <!-- /wp:list --> | { "id": "wp-2697", "slug": "human-height", "content": { "toc": [], "body": [ { "type": "text", "value": [ { "text": "This article was first published in 2013, and updated in May 2019.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Poor nutrition and illness in childhood limit human growth. As a consequence, the average height of a population is strongly correlated with living standards in a population. This makes the study of human height relevant for historians who want to understand the history of living conditions. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Because the effect of better material living standards is to make people taller, human height is used as an indirect measure for living standards. It is especially relevant for the study of living conditions in periods for which little or no other data is available \u2013 what historians refer to as the pre-statistical period.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "It is important to stress that height is not used as a direct measure of well-being. The variation of height ", "spanType": "span-simple-text" }, { "children": [ { "text": "within", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " a given population is largely determined by genetic factors.{ref}Recent breakthroughs in sequencing the human genome have allowed identification of 697 genetic variants that influence the height of an individual. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "In a study of over 250,000 individuals using genome-wide data, the study\u00a0was able to identify 697 variants that determine an individuals height.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Wood et al (2014) \u2013 Defining the role of common variation in the genomic and biological architecture of adult human height. In Nature Genetics. Online ", "spanType": "span-simple-text" }, { "url": "http://www.nature.com/ng/journal/v46/n11/full/ng.3097.html", "children": [ { "text": "here", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ".{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The history of human height allows us to track progress against undernourishment and disease and makes it possible to understand who started to benefit from modern advancements when.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "children": [ { "url": "#all-charts", "children": [ { "text": "See all interactive charts on human height \u2193", "spanType": "span-simple-text" } ], "spanType": "span-link" } ], "spanType": "span-bold" } ], "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "The history of human height", "spanType": "span-simple-text" } ], "type": "heading", "level": 1, "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "The Last\u00a0Two Millennia", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Over the last two millennia, human height, based on skeletal remains, has stayed\u00a0fairly steady, oscillating around 170cm. With the onset of modernity, we see a massive spike in heights in the developed world. It is worth noting that using skeletal remains is subject to measurement error with respect to the estimated height and time period.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Male heights from skeletons in Europe, 1-2000 \u2013 Clark{ref}", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": " The source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": " The original source of the Data is Steckel, 2001. \u201cHealth and Nutrition in the Pre-Industrial Era: Insights from a Millennium of Average Heights in Northern Europe.\u201d Working Paper 8542. Cambridge, Mass.: National Bureau of Economic Research., figures 3 and 4,", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": "and", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": "Koepke, Nikola, and Joerg Baten. 2005. \u201cThe Biological Standard of Living in Europe during the Last Two Millennia.\u201d European Review of Economic History 9(1): 61\u201395. A version of this paper is online ", "spanType": "span-simple-text" }, { "url": "http://www.econstor.eu/bitstream/10419/47594/1/574888918.pdf", "children": [ { "text": "here", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ".{/ref}", "spanType": "span-simple-text" } ], "type": "heading", "level": 5, "parseErrors": [] }, { "alt": "Male heights from skeletons in Europe, (1\u20132000) \u2013 Clark", "size": "wide", "type": "image", "filename": "male-heights-from-skeletons-in-europe-1-2000-clark.png", "parseErrors": [] }, { "text": [ { "text": "Increase of human height over two centuries", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "The University of Tuebingen provides data on human height for men in many countries around the world from 1810 to 1980. It gives us a perspective of changes over almost two centuries. We see this data in the charts.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/average-height-of-men-for-selected-countries", "type": "chart", "parseErrors": [] }, { "type": "text", "value": [ { "text": "Human height has steadily increased over the past 2 centuries across the globe. This trend is in line with general improvements in health and nutrition during this period. Historical data on heights tends to come from soldiers (conscripts), convicted criminals, slaves and servants. It is for this reason much of the historical data focuses on men. Recent data on heights uses additional sources including surveys and medical records.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "http://ourworldindata.org/grapher/average-height-of-men-for-selected-countries?tab=map", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "How has height changed globally?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "People today are taller, on average, than their ancestors 100 years ago. This is true for every country in the world. But how much have human heights changed, and how does this vary across the world?", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The data shown here is based on a global study, published by NCD Risk Factor Collaboration (NCD-RisC) in 2016.{ref}NCD Risk Factor Collaboration (NCD-RisC) (2016).\u00a0", "spanType": "span-simple-text" }, { "url": "https://cdn.elifesciences.org/articles/13410/elife-13410-v2.pdf", "children": [ { "text": "A century of trends in adult human height", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ".\u00a0", "spanType": "span-simple-text" }, { "children": [ { "text": "eLife,", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "\u00a0p. e13410.{/ref} This dataset is based on both demographic and health surveys as well as academic studies. It reports mean height for adults by year of birth, from 1896 to 1996; in other words, people who had reached their eighteenth birthday from 1914 to 2014.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "If we compare adult men born in 1996 versus those born a century earlier \u2013 men who had reached the age of 18 in 2014 versus 1914 \u2013 we see that the global mean height for men increased from 162 to 171 centimeters (cm). We see this in the chart. For women, this increased from 151 cm to 159 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The average young adult today is around 8 or 9 cm, or about 5%, taller than their ancestors 100 years ago.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/average-height-by-year-of-birth", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "Regional variation in height changes", "spanType": "span-simple-text" } ], "type": "heading", "level": 3, "parseErrors": [] }, { "type": "text", "value": [ { "text": "There are significant regional variations in change in average human heights.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The following slope chart illustrates the changes in mean male height by region. Here we see that the largest gains in height were seen for European and Central Asian men; their mean height increased by 11 cm, overtaking North American men in the process. The smallest absolute gains were seen for South Asian men; mean height increased by only 5 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Overall, the regional variation in male heights increased over the last century. For men born in 1896, there was an eight centimetre gap in mean height between the shortest and tallest region. 100 years later, this gap had increased to 12 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "We can also see this regional change for women, ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/grapher/change-in-female-height-slope", "children": [ { "text": "here", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". Again, the trends are similar: heights of European and Central Asian women increased the most \u2013 gaining 11 cm and overtaking North American women. \u00a0Compared to men, there was less of a divergence in female heights by region: for women born in 1896, the gap between the tallest and shortest region was 9 to 10 cm. A century later, this was almost the same \u2013 10 to 11 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/change-in-male-height-slope", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "Which countries have seen the greatest absolute gains in height?", "spanType": "span-simple-text" } ], "type": "heading", "level": 3, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Some countries have seen much larger increases in average human height than others.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The chart shows the absolute change in the mean height of adult women for each country. As reflected in the regional trends above, the largest increases were typically in \u2013but not limited to \u2013 Europe and Central Asia. The largest absolute change was seen for South Korean women, whose mean height increased by 20 cm. Compare this to Madagascar, which had the smallest gain of only 1.5 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "In ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/grapher/change-in-male-height", "children": [ { "text": "this chart", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ", we can see the same metric for men. Iranian men saw the largest change, gaining 16.5 cm in mean height, while men from the Marshall Islands grew by only 0.5 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Despite variation across countries, men and women globally saw similar gains: about 8 to 9 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/absolute-gains-in-mean-female-height", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "Which countries have seen the greatest relative gains in height?", "spanType": "span-simple-text" } ], "type": "heading", "level": 3, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Relative changes offer a different perspective on changes in average human heights, illustrated ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/grapher/relative-change-male-height", "children": [ { "text": "here for men", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " and ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/grapher/relative-change-in-female-height", "children": [ { "text": "here\u00a0for women", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ".", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "While average height of men around the world increased by 5%, the percentage change in the height of Iranian men was double that at 10%. By contrast, Marshallese men grew by less than 0.5%. South Korean women saw the largest relative increase \u2013 15% \u2013 while the height of Tuvalese women increased by less than 1%.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Did heights across the world increase more for men or women?", "spanType": "span-simple-text" } ], "type": "heading", "level": 3, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Did men or women see the greatest increase in height over this period? It depends on the country.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "At the global level, the relative increase in mean height was the same for men and women: around five percent. But as we see, there is significant variation across countries. This chart shows the percentage change for men on the y-axis, and for women on the x-axis. The grey line here represents parity: where the change was the same for both sexes. Countries which lie above the grey line saw greater height increase for men than for women; for countries below the line, the opposite is true.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Some countries saw very different changes for men and women. In South Korea, for example, mean height for women increased by 14% versus 9% for men. In the Philippines the opposite was true: male height increased by around 5% versus only 1% for women.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/increase-male-vs-female-height", "type": "chart", "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "Human height across the world", "spanType": "span-simple-text" } ], "type": "heading", "level": 1, "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "How does human height vary across the world?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Human height is a partly heritable trait. However, non-genetic, environmental factors during pregnancy, childhood, and adolescence \u2013 such as nutrition and health \u2013 have an impact on the population-wide distribution of height. As such, variations in height across the world ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/human-height#what-explains-differences-in-human-height", "children": [ { "text": "indicate", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " not only genetic differences, but also general differences in living standards.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Here, we examine variations in mean male and female heights by country. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "How tall are men across the world?", "spanType": "span-simple-text" } ], "type": "heading", "level": 3, "parseErrors": [] }, { "type": "text", "value": [ { "text": "The global mean height of adult men born in 1996 is 171 centimetres (cm), or 5 foot and 7.5 inches. There are large variations in average height between nations: the shortest being men in Timor at 160 cm, and the tallest from the Netherlands at 182 cm. This represents a range of 22 cm, or 8 inches.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "There are also clear distinctions between regions. On average, the shortest men can be found in South Asia, where the average height is 165 cm, while the tallest are from Europe and Central Asia, at 177 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/average-height-of-men", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "How tall are women across the world?", "spanType": "span-simple-text" } ], "type": "heading", "level": 3, "parseErrors": [] }, { "type": "text", "value": [ { "text": "On average, women are almost 12 centimetres shorter than men.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The global average height of adult women born in 1996 is 159 cm, or 5 foot and 3 inches. The country with the shortest women is Guatemala, where the average height is 149 cm, while Latvian women are 20 cm taller (at 169 cm).", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "There are also regional variations in the heights of women. As with men, the tallest women are European and Central Asian, with a mean height of 164 cm, while women from South Asia tend to be the shortest, measuring 153 cm on average.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/average-height-of-women", "type": "chart", "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "Gender differences in height", "spanType": "span-simple-text" } ], "type": "heading", "level": 1, "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "How much taller are men than women?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Globally, the mean height of women is about four and a half inches, or 12 centimeters (cm), shorter than that of men. In the latest available data, the ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/grapher/average-height-by-year-of-birth", "children": [ { "text": "global mean height", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " for men was 171 cm, versus 159 cm for women.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This height disparity between the sexes is present everywhere in the world. It\u2019s largest in North Macedonia, where men are typically 18.5 cm taller than women, and smallest in The Gambia, where the mean difference is only 4.5 cm. You can see the absolute difference in mean heights for any country in the world ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/grapher/average-height-by-year-of-birth", "children": [ { "text": "here", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ".", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The scatter plot illustrates the difference between the average heights of men and women around the world. It plots average male height on the y-axis, and average female height on the x-axis. The grey line shows where these heights are equal. As we can see, all countries lie above this line; this means that on average, men are taller than women in every country in the world.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/mean-height-males-vs-females", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "Where are men much taller than women?", "spanType": "span-simple-text" } ], "type": "heading", "level": 3, "parseErrors": [] }, { "type": "text", "value": [ { "text": "The following map shows the ratio of male-to-female average heights across the world. Globally, the ratio is 1.07, meaning that on average, men are about 7% taller than women.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Across the world, this relative difference between the sexes can vary from only 2-3% to over 12%. Regionally, the gap in mean height between men and women is smallest across Sub-Saharan Africa: there, many countries lie below the global average difference of 7%.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The global ratio \u2013 around 1.07 \u2013 has remained pretty much constant since the data began in 1896 despite large increases in absolute terms in the average heights of both men and women.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Despite a relatively consistent ratio at the global level, some countries have seen significant changes. A century ago, South Korean males were on average 18 cm taller than their female counterparts; this difference has fallen to 13 cm, meaning that South Korean women have seen larger absolute gains in height than South Korean men. By contrast, in the Philippines this difference has doubled from 7 cm to 14 cm, meaning that average height of Filipino men has increased faster than that of Filipino women.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/male-to-female-height-ratio", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "How do expected growth trends differ for boys and girls?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "As we\u2019ve previously explored, the average man is taller than the average woman: this holds true across all countries in the world. But when does this differentiation in heights take place? How do the growth trends for boys and girls in childhood differ?", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The chart presents the expected growth rates for healthy boys and girls during childhood and adolescence. It combines data from World Health Organization (WHO) growth reference standards for infants, children, and adolescents. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "These standards are used to assess the degree to which the health and nutritional demands for growth and development are met around the world. The studies included healthy children from a diverse set of ethnicities, in order to reduce the impact of genetic variability between populations.{ref}See ", "spanType": "span-simple-text" }, { "url": "https://www.who.int/childgrowth/standards/Technical_report.pdf?ua=1 ", "children": [ { "text": "here", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " and ", "spanType": "span-simple-text" }, { "url": "https://www.who.int/growthref/growthref_who_bull.pdf?ua=1", "children": [ { "text": "here", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " at the WHO.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "As the chart shows, boys are typically a fraction taller than girls at birth. Both sexes grow very quickly in the first six months of life, with this growth rate decreasing gradually during the following years. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "After three years of life, both boys and girls have approximately doubled in height since birth, but boys are still slightly taller.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "By the age of eight, the rate of growth for boys begins to slow, but for girls it stays high and around the age of nine, we see that the median height of girls is slightly higher than for boys.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "At 11 years old, girls are typically more than two centimeters taller than boys. But around this age the rate of growth of girls begins to slow and boys start to grow faster again so that around the age of 13, boys overtake again.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Girls tend to stop growing a few years earlier than boys, reaching their final adult height around 16 years old. Boys peak later, at around 18 years old. At this stage, they\u2019re 13 centimeters taller than girls on average.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Of course, not all children grow at the same rate. The ribbons around the median growth lines on the chart represent two standard deviations above and below the median expected trend. Heights which fall within two standard deviations of the median are considered to be \u2018healthy growth\u2019. ", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "children": [ { "text": "Stunted growth", "spanType": "span-simple-text" } ], "spanType": "span-bold" }, { "text": ": A child whose height-for-age falls below this ribbon is considered to be \u2018stunted\u2019 \u2013 this means their height is too short for their age.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Stunting typically occurs during the first two years of life, since this is when growth is fastest and sufficient nutrition is crucial. This means environmental factors have an important effect during this period.{ref}Martorell, R. (1989). Body size, adaptation and function. Human Organization, 15-20.{/ref} There is evidence to suggest that \u2018catch-up growth\u2019 \u2013 growth that is faster than normal for age and follows a period of growth inhibition \u2013 is possible if environmental factors improve.{ref}Jee, Y. H., Baron, J., Phillip, M., & Bhutta, Z. A. (2014). Malnutrition and catch-up growth during childhood and puberty. World Review of Nutrition and Dietetics, 109, 89.{/ref}{ref}Perkins, J. M., Subramanian, S. V., Davey Smith, G., & \u00d6zaltin, E. (2016). Adult height, nutrition, and population health. Nutrition Reviews, 74(3), 149-165.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The expected average height of a healthy population should be 163 cm for women and 176.5 cm for men \u2013 as defined by the WHO growth reference standards. Interestingly, the global average height is 159.5 cm for women, and 171 cm for men \u2013 it\u2019s lower than we\u2019d expect. This disparity between the actual and expected global average height may be due to the fact that historically, and still today, a large share of children are stunted. In 1990, around 40% were stunted. It has fallen since then to around 22% in 2017, but with large variations across the world.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "alt": "", "size": "wide", "type": "image", "filename": "Healthy20height20growth20curves.png", "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "Human height in prehistoric times", "spanType": "span-simple-text" } ], "type": "heading", "level": 1, "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "Mesolithic times, middle ages, subsistence societies and modern foragers", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "In the last two centuries height has substantially increased in many world regions, but up until modern times the archeological record of human skeletons suggests that there was no trend towards improving living conditions.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The two tables present estimates of the heights of men in foraging and subsistence societies with those from preindustrial societies. There is no clear difference between these records suggesting that preindustrial societies were just as badly off as their ancestors millennia ago \u2013 which is consistent with the 'Malthusian Model' of the pre-growth economy, which we discuss in ", "spanType": "span-simple-text" }, { "url": "https://owid.cloud/economic-growth", "children": [ { "text": "our entry on economic growth", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ".", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Heights of adult males in modern foraging and subsistence societies \u2013 Clark (2008){ref}", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": " The Source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": " Notes: *denotes heights adjusted to ages 21\u201340. The heights of all !Kung males averaged 2 centimeters less than those aged 21\u201340.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": "The original sources of Clark are:", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": "Steckel, Richard H., and Joseph M. Prince. 2001. \u201cTallest in the World: Native Amer- icans of the Great Plains in the Nineteenth Century.\u201d American Economic Review 91(1): 287\u2013294.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " b Page 102 in Kelly, Robert L. 1995. The Foraging Spectrum: Diversity in Hunter-Gatherer Lifeways. Washington, D.C.: Smithsonian Institution Press.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " c Page 223 in Jenike, Mark R. 2001. \u201cNutritional Ecology: Diet, Physical Activity, and Body Size.\u201d In Hunter-Gatherers: an Interdisciplinary Perspective, eds. Catherine Panter-Brick, Robert H. Layton, and Peter Rowley-Conwy. Cambridge, U.K.: Cambridge University Press, pp. 205\u2013238.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " d Page 207 in Hawkes, Ernest William. 1916. \u201cSkeletal Measurements and Observations of the Point Barrow Eskimo with Comparisons with Other Eskimo Groups.\u201d American An- thropologist, New Series 18(2): 203\u2013244.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " e Page 327 in Boaz, Franz. 1891. \u201cPhysical Characteristics of the Indians of the North Pacific Coast.\u201d American Anthropologist 2(4): 321\u2013328.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " f Page 69 in Trevor, J. C. 1947. \u201cThe Physical Characteristics of the Sandawe.\u201d Journal of the Royal Anthropological Institute of Great Britain and Ireland 77(1): 61\u201378.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " g Page 751 in Boaz 1899. \u201cAnthropometry of Shoshonean Tribes.\u201d American Anthropologist New Series 1(4): 751\u2013758.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " h Page 267 in Guppy, H. B. 1886. \u201cOn the Physical Characters of the Solomon Islanders.\u201d Journal of the Anthropological Institute of Great Britain and Ireland 15: 266\u2013285.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " i Page 172 in Truswell, A. Stewart, and John D. L. Hansen. 1976. \u201cMedical Research among the !Kung.\u201d In Kalahari Hunter-Gatherers, eds. Richard B. Lee and Irven DeVore. ", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": "Cambridge, Mass.: Harvard University Press, pp. 166\u2013194.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " j Pages 180\u201382 in Hurtado, A. Magdalena, and Kim R. Hill. 1987. \u201cEarly Dry Season Subsistence Ecol- ogy of Cuiva (Hiwi) Foragers of Venezuela.\u201d Human Ecology 15(2): 163\u2013187.{/ref}", "spanType": "span-simple-text" } ], "type": "heading", "level": 5, "parseErrors": [] }, { "type": "html", "value": "<div class=\"raw-html-table__container\"><table><thead><tr><th scope=\"col\" colspan=\"1\">Period</th><th scope=\"col\" colspan=\"1\">Group</th><th scope=\"col\" colspan=\"1\">Location</th><th scope=\"col\" colspan=\"1\">Ages</th><th scope=\"col\" colspan=\"1\">Height (centimeters)</th></tr></thead><tbody><tr><td colspan=\"1\" rowspan=\"1\">1892</td><td colspan=\"1\" rowspan=\"1\">Plains Indians (a)</td><td colspan=\"1\" rowspan=\"1\">United States</td><td colspan=\"1\" rowspan=\"1\">23\u201349</td><td colspan=\"1\" rowspan=\"1\">172</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1970s</td><td colspan=\"1\" rowspan=\"1\">Anbarra (b)</td><td colspan=\"1\" rowspan=\"1\">Australia</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">172*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1970s</td><td colspan=\"1\" rowspan=\"1\">Rembarranga (c)</td><td colspan=\"1\" rowspan=\"1\">Australia</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">171*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1910</td><td colspan=\"1\" rowspan=\"1\">Alaskan Inuit (d)</td><td colspan=\"1\" rowspan=\"1\">United States</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">170*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1890</td><td colspan=\"1\" rowspan=\"1\">Northern Pacific Indians (e)</td><td colspan=\"1\" rowspan=\"1\">United States</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">167*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1944</td><td colspan=\"1\" rowspan=\"1\">Sandawe (f)</td><td colspan=\"1\" rowspan=\"1\">Tanzania</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">167*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1891</td><td colspan=\"1\" rowspan=\"1\">Shoshona (g)</td><td colspan=\"1\" rowspan=\"1\">United States</td><td colspan=\"1\" rowspan=\"1\">20\u201359</td><td colspan=\"1\" rowspan=\"1\">166</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1970s</td><td colspan=\"1\" rowspan=\"1\">Fox Basin Inuit (c)</td><td colspan=\"1\" rowspan=\"1\">Canada</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">166*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1880s</td><td colspan=\"1\" rowspan=\"1\">Solomon Islanders (h)</td><td colspan=\"1\" rowspan=\"1\">Solomon Is.</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">165*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1906</td><td colspan=\"1\" rowspan=\"1\">Canadian Inuitd (d)</td><td colspan=\"1\" rowspan=\"1\">Canada</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">164*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1969</td><td colspan=\"1\" rowspan=\"1\">!Kung (i)</td><td colspan=\"1\" rowspan=\"1\">Bostwana</td><td colspan=\"1\" rowspan=\"1\">21\u201340</td><td colspan=\"1\" rowspan=\"1\">163</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1980s</td><td colspan=\"1\" rowspan=\"1\">Ache (j)</td><td colspan=\"1\" rowspan=\"1\">Paraguay</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">163*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1970s</td><td colspan=\"1\" rowspan=\"1\">Hadza (c)</td><td colspan=\"1\" rowspan=\"1\">Tanzania</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">163*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1985</td><td colspan=\"1\" rowspan=\"1\">Hiwi (j)</td><td colspan=\"1\" rowspan=\"1\">Venezuela</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">156*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1980s</td><td colspan=\"1\" rowspan=\"1\">Batak (c)</td><td colspan=\"1\" rowspan=\"1\">Philippines</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">155*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1980s</td><td colspan=\"1\" rowspan=\"1\">Agta (c)</td><td colspan=\"1\" rowspan=\"1\">Philippines</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">155*</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1980s</td><td colspan=\"1\" rowspan=\"1\">Aka (c)</td><td colspan=\"1\" rowspan=\"1\">Central African Republic</td><td colspan=\"1\" rowspan=\"1\">Adults</td><td colspan=\"1\" rowspan=\"1\">155*</td></tr></tbody></table></div>", "parseErrors": [] }, { "text": [ { "text": "Heights from skeletal remains by period, from mesolithic times until now, globally \u2013 Clark (2008){ref}", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": " The Source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": " The original sources of Clark are:", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": "a Page 133 in Meiklejohn, Christopher, and Marek Zvelebil. 1991. \u201cHealth Status of European Populations at the Agricultural Transition and the Implications for the Adoption of Farming.\u201d In Health in Past Societies: Biocultural Interpretations of Human Skeletal Remains in Archaeological Contexts, eds. Helen Bush and Marek Zvelebil. British Archaeological Reports International Series 567. Oxford: Tempus Reparatum.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " b Pages 51\u201352 in Bennike, Pia. 1985. Paleopathology of Danish Skeletons. Copenhagen: Akademisk Forlag.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " c Steckel 2001. \u201cHealth and Nutrition in the PreIndustrial Era: Insights from a Millen- nium of Average Heights in Northern Europe.\u201d Working Paper 8542. Cambridge, Mass.: National Bureau of Economic Research.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " d Masali, M. 1972. \u201cBone Size and Proportions as Revealed by Bone Measurements and Their Meaning in Environmental Adaptation.\u201d Journal of Human Evolution 1: 187\u2013197.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " e Mellink, Machteld J., and J. Lawrence Angel. 1970. \u201cExcavations at Karatas-Semay U.K. ", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "text": "and Elmali, Lycia, 1969.\u201d American Journal of Archaeology 74(3): 245\u2013 259.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " f Angel, J. Lawrence. 1971. The People of Lerna: Analysis of a Prehistoric Aegean Popula- tion. Athens: American School of Classical Studies.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " g Pages 43\u201345 in Houghton, Philip. 1996. People of the Great Ocean: Aspects of the Human Biology of the Early Pacific. Cambridge, U.K.: Cambridge University Press.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " h Boix, Carles, and Frances Rosenbluth. 2004. \u201cBones of Contention: The Political Economy of Height Inequality.\u201d Working Paper, University of Chicago, Department of Political Science. Table 6.", "spanType": "span-simple-text" }, { "spanType": "span-newline" }, { "spanType": "span-newline" }, { "text": " i Dutta, Pratap C. 1984. \u201cBiological Anthropology of Bronze Age Harappans: New Perspectives.\u201d In The People of South Asia: The Biological Anthropology of India, Pakistan, and Nepal, ed. John R. Lukacs. New York: Plenum Press, pp. 59\u201376.{/ref}", "spanType": "span-simple-text" } ], "type": "heading", "level": 5, "parseErrors": [] }, { "type": "html", "value": "<div class=\"raw-html-table__container\"><table><thead><tr><th scope=\"col\" colspan=\"1\">Period</th><th scope=\"col\" colspan=\"1\">Location</th><th scope=\"col\" colspan=\"1\">Observations</th><th scope=\"col\" colspan=\"1\">Height (centimeters)</th></tr></thead><tbody><tr><td colspan=\"1\" rowspan=\"1\">Mesolithic (a)</td><td colspan=\"1\" rowspan=\"1\">Europe</td><td colspan=\"1\" rowspan=\"1\">82</td><td colspan=\"1\" rowspan=\"1\">168</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Neolithic (a,b)</td><td colspan=\"1\" rowspan=\"1\">Europe</td><td colspan=\"1\" rowspan=\"1\">190</td><td colspan=\"1\" rowspan=\"1\">167</td></tr><tr><td colspan=\"1\" rowspan=\"1\"></td><td colspan=\"1\" rowspan=\"1\">Denmark</td><td colspan=\"1\" rowspan=\"1\">103</td><td colspan=\"1\" rowspan=\"1\">173</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1600\u20131800 ( c)</td><td colspan=\"1\" rowspan=\"1\">Holland</td><td colspan=\"1\" rowspan=\"1\">143</td><td colspan=\"1\" rowspan=\"1\">167</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1700\u20131800 ( c)</td><td colspan=\"1\" rowspan=\"1\">Norway</td><td colspan=\"1\" rowspan=\"1\">1956</td><td colspan=\"1\" rowspan=\"1\">165</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1700\u20131850 ( c)</td><td colspan=\"1\" rowspan=\"1\">London</td><td colspan=\"1\" rowspan=\"1\">211</td><td colspan=\"1\" rowspan=\"1\">170</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Pre-Dynastic (d)</td><td colspan=\"1\" rowspan=\"1\">Egypt</td><td colspan=\"1\" rowspan=\"1\">60</td><td colspan=\"1\" rowspan=\"1\">165</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Dynastic (d)</td><td colspan=\"1\" rowspan=\"1\">Egypt</td><td colspan=\"1\" rowspan=\"1\">126</td><td colspan=\"1\" rowspan=\"1\">166</td></tr><tr><td colspan=\"1\" rowspan=\"1\">2500 BC (e)</td><td colspan=\"1\" rowspan=\"1\">Turkey</td><td colspan=\"1\" rowspan=\"1\">72</td><td colspan=\"1\" rowspan=\"1\">166</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1700 BC (f)</td><td colspan=\"1\" rowspan=\"1\">Lerna, Greece</td><td colspan=\"1\" rowspan=\"1\">42</td><td colspan=\"1\" rowspan=\"1\">166</td></tr><tr><td colspan=\"1\" rowspan=\"1\">2000\u20131000 BC (g)</td><td colspan=\"1\" rowspan=\"1\">Harappa, India</td><td colspan=\"1\" rowspan=\"1\">\u2014</td><td colspan=\"1\" rowspan=\"1\">169</td></tr><tr><td colspan=\"1\" rowspan=\"1\">300 BC\u2013AD 250 (h)</td><td colspan=\"1\" rowspan=\"1\">Japan (Yayoi)</td><td colspan=\"1\" rowspan=\"1\">151</td><td colspan=\"1\" rowspan=\"1\">161</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1200\u20131600 (h)</td><td colspan=\"1\" rowspan=\"1\">Japan (medieval)</td><td colspan=\"1\" rowspan=\"1\">20</td><td colspan=\"1\" rowspan=\"1\">159</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1603\u20131867 (h)</td><td colspan=\"1\" rowspan=\"1\">Japan (Edo)</td><td colspan=\"1\" rowspan=\"1\">36</td><td colspan=\"1\" rowspan=\"1\">158</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1450 (i)</td><td colspan=\"1\" rowspan=\"1\">Marianas, Taumako</td><td colspan=\"1\" rowspan=\"1\">70</td><td colspan=\"1\" rowspan=\"1\">174</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1650 (i)</td><td colspan=\"1\" rowspan=\"1\">Easter Island</td><td colspan=\"1\" rowspan=\"1\">14</td><td colspan=\"1\" rowspan=\"1\">173</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1500\u20131750 (i)</td><td colspan=\"1\" rowspan=\"1\">New Zealand</td><td colspan=\"1\" rowspan=\"1\">124</td><td colspan=\"1\" rowspan=\"1\">174</td></tr><tr><td colspan=\"1\" rowspan=\"1\">1400\u20131800 (i)</td><td colspan=\"1\" rowspan=\"1\">Hawaii</td><td colspan=\"1\" rowspan=\"1\">\u2014</td><td colspan=\"1\" rowspan=\"1\">173</td></tr></tbody></table></div>", "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "Is the increase in human height coming to an end?", "spanType": "span-simple-text" } ], "type": "heading", "level": 1, "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "type": "text", "value": [ { "text": "Human height for both men and women has ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/human-height#a-century-of-human-height-how-has-adult-height-changed-over-time", "children": [ { "text": "increased over the past century", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ": this is true of every country in the world. But, over the last few decades, \u00a0human height in some countries have been stagnating. This is illustrated in the following charts which show the year-on-year relative change in average male and female heights by region. Positive values here indicate an increase in average height from one year to the next; zero indicates no change; and negative indicates a decline.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Here we can pull out several key points. Firstly, we see that changes in height across the world are gradual: average heights do not suddenly jump one year to the next, but instead tend to change at rates of less than 1% per year. Secondly, we see that across all regions, average human heights have experienced significant growth over the past century. But the trends also suggest that growth in average male heights have stagnated in Europe and Central Asia, while reversing in the Middle East and North Africa, East Asia and Pacific, and Sub-Saharan Africa. The story is largely the same for women, but with the addition that average female heights in North America have stagnated as well.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This seems like an unexpected result. Human height is positively ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/human-height#what-explains-differences-in-human-height", "children": [ { "text": "correlated with standards of living", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": "; living standards have been increasing across the world in recent decades, so why would average human heights be stagnating or even falling? This trend is particularly curious for Sub-Saharan Africa, where average height appears to be falling the most while the ", "spanType": "span-simple-text" }, { "url": "https://africaindata.org/#/title-slide", "children": [ { "text": "region has simultaneously achieved progress", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " across many aspects of wellbeing.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "In the next section we explore why this might be the case.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/annual-change-in-average-male-height", "type": "chart", "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/annual-change-in-average-female-height", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "Why has growth in human height stagnated in rich countries?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Height is partly determined by genetics. Evolution aside, the genes of a population are fixed.{ref}This is based on the assumption that evolution is a very slow process that takes thousands of years to occur; the ", "spanType": "span-simple-text" }, { "url": "https://theconversation.com/human-evolution-is-still-happening-possibly-faster-than-ever-105683", "children": [ { "text": "pace", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " of evolution does vary, however.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "As such, it is reasonable to assume that there is an upper limit to average heights, at which nutritional and health factors are optimal. This scenario could explain the recent stagnation, especially in high income countries across \u00a0Europe and Central Asia, where living standards are high.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "A study published in ", "spanType": "span-simple-text" }, { "children": [ { "text": "Nature", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " examined the recent stagnation of heights in the Netherlands, the tallest population in the world.{ref}Sch\u00f6nbeck, Y., Talma, H., van Dommelen, P., Bakker, B., Buitendijk, S. E., HiraSing, R. A., & van Buuren, S. (2013). ", "spanType": "span-simple-text" }, { "url": "https://www.nature.com/articles/pr2012189#ref12", "children": [ { "text": "The world\u2019s tallest nation has stopped growing taller: the height of Dutch children from 1955 to 2009", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Pediatric research", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "73", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(3), 371.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "They found similar results: that the 150 year increase in average heights in the Netherlands had came to an end in recent decades. They concluded that the reason for this is not entirely clear. They suggest that the Dutch may have reached the maximum mean height possible for the population. But they also hypothesized that recent lifestyle changes \u2013 not a genetic upper bound \u2013 may be hindering further increases in the average heights of men and women. For example, \u201ceasy access to fast food nowadays \u2026 may lead to inadequate nutrient intake, which may result in lower height\u201d. Furthermore, \u201cless energy expenditure due to a sedentary lifestyle leads to an increase in overweight and obesity \u2026 which, in turn, are related to lower height\u201d.{ref}Freedman, D. S., Khan, L. K., Serdula, M. K., Dietz, W. H., Srinivasan, S. R., & Berenson, G. S. (2003). ", "spanType": "span-simple-text" }, { "url": "https://bmcpediatr.biomedcentral.com/articles/10.1186/1471-2431-3-3", "children": [ { "text": "The relation of menarcheal age to obesity in childhood and adulthood: the Bogalusa heart study", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "BMC pediatrics", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "3", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(1), 3.{/ref} Additionally, \u201cthe high consumption of milk in the Netherlands, which has been linked to tallness, declined over the past decade from 63 litres per capita per year in 2000 to 60 in 2010\u201d.{ref}Berkey, C. S., Colditz, G. A., Rockett, H. R., Frazier, A. L., & Willett, W. C. (2009). ", "spanType": "span-simple-text" }, { "url": "http://cebp.aacrjournals.org/content/18/6/1881.short", "children": [ { "text": "Dairy consumption and female height growth: prospective cohort study", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Cancer Epidemiology and Prevention Biomarkers", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "18", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(6), 1881-1887.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Therefore, the positive height trend in high-income countries may return if lifestyles improve.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Other studies have assessed the apparent stagnation, or slowed growth, in other high-income regions. One investigated not only the stagnation of heights in the United States, but also why they have fallen behind many countries across Europe.{ref}Komlos, J., & Lauderdale, B. E. (2007). ", "spanType": "span-simple-text" }, { "url": "https://www.tandfonline.com/doi/full/10.1080/03014460601116803?needAccess=true&instName=University+of+Oxford", "children": [ { "text": "The mysterious trend in American heights in the 20th century", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Annals of human biology", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "34", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(2), 206-215.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "In the 19th century, ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/human-height#how-does-human-height-vary-across-the-world", "children": [ { "text": "North Americans were the tallest in the world", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ", but fell behind over the course of the 20th century. The study attributes this partly to nutrition, arguing that \u201cthere are reasons to believe that US diets are deficient to some extent as nearly a half of households' food expenditure is spent on food outside of the home.{ref}Koletzko, B., De la Gu\u00e9ronni\u00e8re, V., Toschke, A. M., & Von Kries, R. (2004). ", "spanType": "span-simple-text" }, { "url": "https://www.cambridge.org/core/journals/british-journal-of-nutrition/article/nutrition-in-children-and-adolescents-in-europe-what-is-the-scientific-basis-introduction/2F641C6EC2DF3963A2689D010970331E", "children": [ { "text": "Nutrition in children and adolescents in Europe: what is the scientific basis? Introduction", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "British Journal of Nutrition", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "92", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(S2), S67-S73.{/ref} This is troubling insofar as meals consumed outside of the home are less balanced than those consumed at family dinners.{ref}Bowman, S. A., & Vinyard, B. T. (2004). ", "spanType": "span-simple-text" }, { "url": "https://www.tandfonline.com/doi/full/10.1080/07315724.2004.10719357", "children": [ { "text": "Fast food consumption of US adults: impact on energy and nutrient intakes and overweight status", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Journal of the american college of nutrition", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "23", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(2), 163-168.{/ref} It also highlights \u201cdifferences in the socio-economic and health systems of the West and Northern European welfare states and the more market-oriented economy of the USA\u201d, arguing that \u201csocio-economic inequality in America is much greater than in Western Europe and inequality has a negative effect on mean height.{ref}Steckel, R. H. (1995). ", "spanType": "span-simple-text" }, { "url": "https://search.proquest.com/docview/213176477?pq-origsite=gscholar", "children": [ { "text": "Stature and the Standard of Living", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Journal of economic literature", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "33", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(4), 1903.{/ref} Furthermore, the West European welfare states, in which a subsistence income is more or less guaranteed, provide a more comprehensive social safety net including unemployment insurance and a comprehensive health-insurance coverage.\u201d{ref}Sunder, M. (2003). ", "spanType": "span-simple-text" }, { "url": "https://www.sciencedirect.com/science/article/pii/S1570677X03000406", "children": [ { "text": "The making of giants in a welfare state: the Norwegian experience in the 20th century", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Economics & Human Biology", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "1", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(2), 267-276.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Why has average human height in Sub-Saharan Africa fallen?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "In Sub-Saharan Africa, the pattern is even more puzzling. Remarkably, the average male and female heights of the region have been falling since 1970, despite ", "spanType": "span-simple-text" }, { "url": "https://africaindata.org/#/title-slide", "children": [ { "text": "improvements in health and nutrition", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". Some researchers argue that this is due to selection: the least healthy children ", "spanType": "span-simple-text" }, { "children": [ { "text": "\u2013 ", "spanType": "span-simple-text" } ], "spanType": "span-fallback" }, { "text": "whose growth is stunted due to malnutrition ", "spanType": "span-simple-text" }, { "children": [ { "text": "\u2013 ", "spanType": "span-simple-text" } ], "spanType": "span-fallback" }, { "text": "do not survive to adulthood, while the survivors are healthier and taller. When child mortality rates decrease, stunted children survive to adulthood, thus lowering the average adult height.{ref}Bozzoli, C., Deaton, A., & Quintana-Domeque, C. (2009). ", "spanType": "span-simple-text" }, { "url": "https://link.springer.com/article/10.1353/dem.0.0079", "children": [ { "text": "Adult height and childhood disease", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Demography", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "46", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(4), 647-669.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This explanation could apply to low income regions, where socioeconomic factors are improving but still relatively weak.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Will growth resume in the future?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Improvements in environmental factors such as nutrition and health could result in further increases in average heights. However, the factors that influence height have an upper limit: \u00a0nutrient intake, for example, likely has limits above which benefits stop. As such, it\u2019s possible that heights \u2013 particularly in countries where living standards are still relatively low \u2013 \u00a0can further increase. But for the richest and tallest countries in the world today, heights may have reached their limit.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "What explains changes and differences in human height?", "spanType": "span-simple-text" } ], "type": "heading", "level": 1, "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "type": "text", "value": [ { "text": "There are large differences in human height ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/human-height#human-height-across-the-world", "children": [ { "text": "across the world", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". \u00a0These differences are not just geographical: human heights have changed significantly ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/human-height#human-height-over-time", "children": [ { "text": "over our history", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ", with increases in every country over the past century.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Height is determined by a combination of genetic and environmental factors. How our height might reflect our environment \u2013 today and in the past \u2013 has been a key focus area for research. \u00a0Height is often seen as a proxy for \u2018biological standards of living\u2019: the World Health Organisation recommends its use \u201cto predict health, performance, and survival\u201d.{ref}World Health Organization. (1995). ", "spanType": "span-simple-text" }, { "url": "https://apps.who.int/iris/bitstream/handle/10665/37003/WHO_TRS_854.pdf", "children": [ { "text": "Physical status: The use of and interpretation of anthropometry, Report of a WHO Expert Committee", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ".{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": " A study of male heights across 105 different countries determined that that \u201cheight and the HDI [Human Development Index] seem to be largely interchangeable as indicators of human well-being\u201d.{ref}Grasgruber, P., Sebera, M., Hrazd\u00edra, E., Cacek, J., & Kalina, T. (2016). ", "spanType": "span-simple-text" }, { "url": "https://www.sciencedirect.com/science/article/pii/S1570677X16300065", "children": [ { "text": "Major correlates of male height: A study of 105 countries", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Economics & Human Biology", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "21", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", 172-195.{/ref} This is illustrated in the following scatter plot which shows the relationship between a country\u2019s Human Development Index and average male height by year of birth. Here we see that people are taller in countries with a higher standard of living.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Why is the relationship between individuals\u2019 heights and a country\u2019s socioeconomic development so strong?", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/human-development-index-vs-mean-male-height", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "How does nutrition affect health?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Nutrition is the one of the strongest determinants of human height.{ref}Perkins, J. M., Subramanian, S. V., Davey Smith, G., & \u00d6zaltin, E. (2016). ", "spanType": "span-simple-text" }, { "url": "https://academic.oup.com/nutritionreviews/article/74/3/149/1826348", "children": [ { "text": "Adult height, nutrition, and population health", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Nutrition reviews", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "74", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(3), 149-165.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Humans convert the chemical energy stored in the macronutrient constituents of food into energy. Dietary energy intake from food must balance energy expenditure due to metabolic functions and physical activity, plus extra energy costs such as growth during childhood.{ref}Joint, F. A. O. (2004). ", "spanType": "span-simple-text" }, { "url": "http://www.fao.org/3/y5686e/y5686e04.htm#bm04", "children": [ { "text": "Human energy requirements", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". Report of a Joint FAO/WHO/UNU Expert Consultation, Rome, 17-24 October 2001.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Humans can adapt to an enduring low dietary energy intake, or undernourishment, by reducing the rate of growth, which leads to ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/hunger-and-undernourishment#too-little-height-for-age-stunting", "children": [ { "text": "stunting", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ", and restricts adult height. Insufficient dietary energy intakes across a population therefore result in a ", "spanType": "span-simple-text" }, { "url": "https://www-jstor-org.ezproxy.cul.columbia.edu/stable/pdf/44125943.pdf?ab_segments=0%252Fdefault-2%252Fcontrol", "children": [ { "text": "low", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " average adult height.{ref}Martorell, R. (1989). ", "spanType": "span-simple-text" }, { "url": "https://www.jstor.org/stable/44125943", "children": [ { "text": "Body size, adaptation and function", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Human Organization", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", 15-20.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Protein is an essential macronutrient in a healthy diet, and is necessary for a wide range of biological processes, including growth. It is made up of basic building blocks called amino acids. Some amino acids - known as the nutritionally essential amino acids - cannot be made in the body, and so must come from the diet. Diets must provide adequate quantities of the full range of amino acids for human growth and metabolism. The capacity of different protein sources to satisfy these demands, based on their amino acid profile and digestibility, is defined as \u2018protein quality\u2019.{ref}Joint, W. H. O. (2007). ", "spanType": "span-simple-text" }, { "url": "https://www.who.int/nutrition/publications/nutrientrequirements/WHO_TRS_935/en/", "children": [ { "text": "Protein and amino acid requirements in human nutrition", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "World Health Organization technical report series", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", (935), 1.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The table shows the protein quality of different foods. Animal source food usually contains higher quality protein than plant source food. They are also a good source of micronutrients, such as iron and zinc, which are necessary for metabolism.{ref}Neumann, C., Harris, D. M., & Rogers, L. M. (2002). ", "spanType": "span-simple-text" }, { "url": "https://www.sciencedirect.com/science/article/pii/S0271531701003748", "children": [ { "text": "Contribution of animal source foods in improving diet quality and function in children in the developing world", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Nutrition research", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "22", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(1-2), 193-220.{/ref} A diet that includes a large proportion of animal source food is therefore likely to provide sufficient amounts of micronutrients and essential amino acids.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Protein quality of common foods{ref}Hoffman, J. R., & Falvo, M. J. (2004). Protein\u2013which is best?. Journal of sports science & medicine, 3(3), 118.{/ref} {ref}Nosworthy, M. G., Neufeld, J., Frohlich, P., Young, G., Malcolmson, L., & House, J. D. (2017). Determination of the protein quality of cooked Canadian pulses. Food science & nutrition, 5(4), 896-903.{/ref} {ref}Phillips, S. M. (2016). The impact of protein quality on the promotion of resistance exercise-induced changes in muscle mass. Nutrition & metabolism, 13(1), 64.{/ref} {ref}Schaafsma, G. (2000). The protein digestibility\u2013corrected amino acid score. The Journal of nutrition, 130(7), 1865S-1867S.{/ref}", "spanType": "span-simple-text" } ], "type": "heading", "level": 5, "parseErrors": [] }, { "type": "html", "value": "<div class=\"raw-html-table__container\"><table><thead><tr><th scope=\"col\" colspan=\"1\">Protein Source</th><th scope=\"col\" colspan=\"1\">PDCAAS Value</th></tr></thead><tbody><tr><td colspan=\"1\" rowspan=\"1\">Egg</td><td colspan=\"1\" rowspan=\"1\">1</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Milk</td><td colspan=\"1\" rowspan=\"1\">1</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Beef</td><td colspan=\"1\" rowspan=\"1\">0.92</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Pea</td><td colspan=\"1\" rowspan=\"1\">0.64</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Lentil</td><td colspan=\"1\" rowspan=\"1\">0.63</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Black bean</td><td colspan=\"1\" rowspan=\"1\">0.53</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Peanut</td><td colspan=\"1\" rowspan=\"1\">0.52</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Chickpea</td><td colspan=\"1\" rowspan=\"1\">0.52</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Rice</td><td colspan=\"1\" rowspan=\"1\">0.42</td></tr><tr><td colspan=\"1\" rowspan=\"1\">Wheat</td><td colspan=\"1\" rowspan=\"1\">0.42</td></tr></tbody></table></div>", "parseErrors": [] }, { "type": "text", "value": [ { "text": "A study by Headey (2018) of dietary patterns in lower-income countries suggests there is a strong association between the consumption of animal sourced foods and height.{ref}Headey, D., Hirvonen, K., & Hoddinott, J. (2018). ", "spanType": "span-simple-text" }, { "url": "https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Headey%2C+D.%2C+Hirvonen%2C+K.%2C+%26+Hoddinott%2C+J.+%282018%29.+Animal+sourced+foods+and+child+stunting.+American+Journal+of+Agricultural+Economics%2C+100%285%29%2C+1302-1319.&btnG=", "children": [ { "text": "Animal sourced foods and child stunting", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "American Journal of Agricultural Economics", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "100", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(5), 1302-1319.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "For instance, animal proteins comprise 9.5% of energy intake in Madagascar, where the average male height is 161.5 cm; Botswanans get 12.5% of their calories from animal proteins, and the men are 10 cm taller on average. But even larger height disparities begin to arise at high levels of animal protein intake.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "In high-income countries, where animal protein intake is high, Grasgruber (2014) found that the strongest predictor of male height is the ratio of high-quality animal proteins - from milk products, red meat, and fish - to low-quality plant proteins - from wheat, rice and other cereals.{ref}Grasgruber, P., Cacek, J., Kalina, T., & Sebera, M. (2014). ", "spanType": "span-simple-text" }, { "url": "https://www.sciencedirect.com/science/article/pii/S1570677X14000665", "children": [ { "text": "The role of nutrition and genetics as key determinants of the positive height trend", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Economics & Human Biology", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "15", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", 81-100.{/ref} This could explain why some countries with very high socioeconomic status have shorter heights than we\u2019d expect. Consider the difference between South Korea and the Netherlands: both have a very high HDI \u2013 over 0.9 \u2013 but the Dutch are nearly 8 centimeters taller (182.5 cm versus 175 cm). What separates them is their intake of animal protein: the Netherlands\u2019 animal:plant protein ratio is 2.16 versus only 0.69 in South Korea.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Appropriate mixtures of plant source proteins - such as cereals plus legumes or oil seeds - are capable of providing the essential amino acids and micronutrients necessary for growth. However, ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/diet-compositions", "children": [ { "text": "diets ", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": "in low-income countries are often dependent on a single staple food source. In Bangladesh, for example, over 75% of dietary energy comes from cereals and grains, 90% of which is rice. By contrast, cereals and grains constitute less than a quarter of dietary energy in the United States. As such, low-income countries are unlikely to exhibit enough dietary diversity.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Animal proteins form an ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/diet-compositions#animal-based-foods-form-a-larger-part-of-our-diet-as-we-get-richer", "children": [ { "text": "increasingly", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " large part of our diets as income increases. Since nutrition plays a key role in determining height, there is an obvious relationship between income and height.{ref}Komlos, J. (1985). ", "spanType": "span-simple-text" }, { "url": "https://www.jstor.org/stable/pdf/1859662.pdf?refreqid=excelsior%3A6fea18b025235454469011ec3585e3e9", "children": [ { "text": "Stature and Nutrition in the Habsburg Monarchy: The Standard of Living and Economic Development in the Eighteenth Century", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "The American Historical Review,", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "children": [ { "text": "90", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(5), 1149-1161. doi:10.2307/1859662{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": " A high level of socioeconomic development therefore predicts taller average heights.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/share-of-calories-from-animal-protein-vs-mean-male-height", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "How does health affect height?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Health \u2013 particularly in childhood \u2013 also influences human height. Disease during childhood can restrict growth because it reduces the availability of nutrients and raises metabolic requirements.{ref}Stephensen, C. B. (1999). ", "spanType": "span-simple-text" }, { "url": "https://academic.oup.com/jn/article/129/2/534S/4731689", "children": [ { "text": "Burden of infection on growth failure", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "The Journal of nutrition", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "129", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(2), 534S-538S.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Children fighting disease have higher nutritional requirements during a period when nutrients are less available. As such, high incidences of disease should lead to shorter average heights.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Grasgruber (2016)\u00a0found that the socioeconomic factor most strongly correlated with male height is child mortality.{ref}Grasgruber, P., Sebera, M., Hrazd\u00edra, E., Cacek, J., & Kalina, T. (2016). ", "spanType": "span-simple-text" }, { "url": "https://www.sciencedirect.com/science/article/pii/S1570677X16300065", "children": [ { "text": "Major correlates of male height: A study of 105 countries", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Economics & Human Biology", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "21", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", 172-195.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This relationship is illustrated in the scatter plot, with child mortality rate on the y-axis and mean male height on the x-axis.\u00a0A low child mortality rate suggests low incidences of disease, as well as sufficient nourishment, and hence predicts a taller average height. For example, 0.2% of children in Finland die before they are 5 years old compared to 7.4% of children in Afghanistan; the average male heights in Finland is significantly taller at 180 cm versus 165 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The relationship between health and height is reinforced by the significant impact of healthcare expenditure. We see this reflected in Arab states where health expenditure is much lower than their income level would predict. For example, compare Oman and the Netherlands: the average male height of the Dutch is 182cm \u2013 13 centimeters taller than the average in Oman. Both countries have high levels of ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/grapher/gdp-per-capita-maddison-2020?tab=chart&time=1950..latest&country=NLD+OMN", "children": [ { "text": "income per capita", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". But the Netherlands spends much more on ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/grapher/total-healthcare-expenditure-gdp?tab=chart&country=NLD~OMN", "children": [ { "text": "healthcare", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ": healthcare expenditure in Oman is 4.0% of gross domestic product (GDP) versus 10.1% of GDP in the Netherlands.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Both child mortality and healthcare expenditure impact life expectancy: we would therefore expect them to be strong determinants of the relationship between standard of living and average height.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Total ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/fertility-rate", "children": [ { "text": "fertility rate", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " (the number of children per woman) also interacts with these determinants, making it the second strongest socioeconomic correlate of height. The role of fertility in high-income countries is marginal since fertility rates are already very low. But it gains statistical significance at lower incomes, where fertility rates are relatively high. In families where there are a large number of children, expenditure and food availability for each child is often lower. We might therefore expect that in countries where the fertility rate is high, health expenditure and nutritional quality per child is low, while incidence of disease is high.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "url": "https://ourworldindata.org/grapher/child-mortality-rate-vs-mean-male-height-cm", "type": "chart", "parseErrors": [] }, { "text": [ { "text": "The effects of immigration on height", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "In a pioneering study of Japanese immigrants to Hawaii published in 1939, Harry Shapiro found there to be a significant difference between the heights of Hawaiian-born Japanese and the Japanese immigrant population.{ref} Shapiro H (1939) Migration and Environment: a study of the physical characteristics of the Japanese immigrants to Hawaii and the effects of environment on their descendants. Oxford University Press {/ref} Shapiro concluded that environmental factors, particularly diet and healthcare, play a significant role in determining height and other physical characteristics. The underlying idea here is that migration from poor countries to rich ones may lead to dramatic changes between generations. In a similar study, Marcus Goldstein (1943) found there to be differences in the heights and other characteristics of the children of Mexican immigrants and their parents, as well as with native born Mexican children.{ref}Goldstein MS (1943) Demographic and Bodily Changes in Descendants of Mexican Immigrants. Austin, TX: University of Texas Institute of Latin American Studies{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "text": [ { "text": "Distribution of adult heights", "spanType": "span-simple-text" } ], "type": "heading", "level": 1, "parseErrors": [] }, { "type": "horizontal-rule", "parseErrors": [] }, { "type": "text", "value": [ { "text": "We have looked in detail at ", "spanType": "span-simple-text" }, { "url": "https://ourworldindata.org/human-height#how-does-human-height-vary-across-the-world", "children": [ { "text": "how ", "spanType": "span-simple-text" }, { "children": [ { "text": "mean", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " heights vary", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " across the world. But this tells us very little about the distribution of heights globally, regionally or within in a given country. How do heights vary: do most people have heights very similar to the average; or do they span a wide range?", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Height is normally distributed", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Adult heights within a population are approximately normally distributed due to genetic and environmental variance.{ref}Komlos, J., & Kim, J. H. (1990). ", "spanType": "span-simple-text" }, { "url": "https://www.tandfonline.com/doi/abs/10.1080/01615440.1990.10594202?journalCode=vhim20", "children": [ { "text": "Estimating trends in historical heights", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Historical Methods: A Journal of Quantitative and Interdisciplinary History", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "23", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(3), 116-120.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Height is partly determined by the interaction of 423 genes with 697 variants.{ref}Wood, A. R., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., \u2026 & Amin, N. (2014). ", "spanType": "span-simple-text" }, { "url": "https://www.nature.com/articles/ng.3097.pdf", "children": [ { "text": "Defining the role of common variation in the genomic and biological architecture of adult human height", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Nature genetics", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "46", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(11), 1173.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "One of the basic rules of probability (known as the Central Limit Theorem) says the distribution of a trait that is determined by independent random variables, like height and genes, roughly follows a bell curve. This means the range of human heights in a population fall centrally around the mean height. In statistical terms, it\u2019s also the case that the mean and median height are the same \u2013 they fall right in the middle of the distribution.{ref}Although the terms mean and median are often used interchangeably with \u2018average\u2019, their values can be very different. To calculate the ", "spanType": "span-simple-text" }, { "children": [ { "text": "mean", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " of a range of values, we sum them all and divide by the number of values. To calculate the ", "spanType": "span-simple-text" }, { "children": [ { "text": "median", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " we find the value which falls exactly in the middle of the range of values. In a normal distribution, the mean and median are the same. But for other distributions, they can be very different.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The normal distribution of heights allows us to make inferences\u00a0about the range. Around 68% of heights will fall within one standard deviation of the mean height; 95% within two standard deviations; and 99.7% within three. If we know the mean and standard deviation of heights, we have a good understanding of how heights vary across a population.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Drawing upon height data from almost 150,000 twinned pairs born between 1886 and 1994, one study investigated the variance in heights across populations through time, and tried to explain how much could be explained by genetics versus environmental differences.{ref}Jelenkovic, A., Hur, Y. M., Sund, R., Yokoyama, Y., Siribaddana, S. H., Hotopf, M., \u2026 & Pang, Z. (2016). ", "spanType": "span-simple-text" }, { "url": "https://elifesciences.org/articles/20320#s4", "children": [ { "text": "Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Elife", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "5", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", e20320.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "We see this distribution of heights in the chart. As an aggregate of the regions with available data \u2013 Europe, North America, Australia, and East Asia \u2013 they found the mean male height to be 178.4 centimeters (cm) in the most recent cohort (born between 1980 and 1994).{ref}This means this cohort reached the age of 18 (adulthood) between 1998 and 2012).{/ref} The standard deviation was 7.59 cm. This means 68% of men were between 170.8 and 186 cm tall; 95% were between 163.2 and 193.6 cm. Women were smaller on average, with a mean height of 164.7 cm, and standard deviation of 7.07 cm. This means 68% of women were between 157.6 and 171.8 cm; and 95% between 150.6 and 178.84 cm.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Regionally, the standard deviation of male heights is largest in North America and Australia, at 7.49 cm, and smallest in East Asia, at 6.37 cm. The pattern is the same for women, with 6.96 cm in North America and Australia, and 5.74 cm in East Asia. Some of the distribution of heights within a population is likely to reflect the degree of genetic variance.{ref}Hur, Y. M., Kaprio, J., Iacono, W. G., Boomsma, D. I., McGue, M., Silventoinen, K., \u2026 & He, M. (2008). ", "spanType": "span-simple-text" }, { "url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2577073/", "children": [ { "text": "Genetic influences on the difference in variability of height, weight and body mass index between Caucasian and East Asian adolescent twins", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "International Journal of Obesity", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "32", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(10), 1455.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "alt": "", "size": "wide", "type": "image", "filename": "distribution-1.png", "parseErrors": [] }, { "text": [ { "text": "How does environment and living standards affect the distribution of heights?", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Differences in height within a population are not only influenced by genetic variance. Greater environmental variance within a population is also reflected by a wider distribution of heights. The distribution of heights has therefore be used as one indicator of socioeconomic inequality in the past.{ref}Van Zanden, J. L., Baten, J., Foldvari, P., & Van Leeuwen, B. (2014). ", "spanType": "span-simple-text" }, { "url": "https://onlinelibrary.wiley.com/doi/abs/10.1111/roiw.12014", "children": [ { "text": "The changing shape of global inequality 1820\u20132000; exploring a new dataset", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Review of income and wealth", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "60", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(2), 279-297.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "In a population with perfectly equal access to nutrition and health resources, height distribution would only reflect genetic variation. Unequal access to these resources within a population means that wealthier individuals could have better health and nutrition, and therefore tend to grow taller than poorer ones; variance of heights therefore becomes larger. In other words, resource-based variance due to income inequality is added to genetic variance, widening the distribution of heights. Some empirical evidence across a range of contexts would support this hypothesis.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "For example, in India in the twentieth-century, an individual\u2019s caste had a significant influence on their height. Members of the high castes \u2013 who had better access to nutrition and health resources \u2013 were 4.5 cm taller on average than members of the low castes.{ref}Guntupalli, A. M., & Baten, J. (2006). ", "spanType": "span-simple-text" }, { "url": "https://www.sciencedirect.com/science/article/pii/S0014498305000446", "children": [ { "text": "The development and inequality of heights in North, West, and East India 1915\u20131944", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "Explorations in Economic History", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "43", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(4), 578-608.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Genetic differences between caste groups are unlikely to account for this height difference, due to the population\u2019s common genetic heritage.{ref}Moorjani, P., Thangaraj, K., Patterson, N., Lipson, M., Loh, P. R., Govindaraj, P., \u2026 & Singh, L. (2013). ", "spanType": "span-simple-text" }, { "url": "https://www.cell.com/ajhg/fulltext/S0002-9297(13)00324-8#secsectitle0095", "children": [ { "text": "Genetic evidence for recent population mixture in India", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". ", "spanType": "span-simple-text" }, { "children": [ { "text": "The American Journal of Human Genetics", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": ", ", "spanType": "span-simple-text" }, { "children": [ { "text": "93", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": "(3), 422-438.{/ref}", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Furthermore, Ayuda (2014) identified a relationship between socioeconomic status and height among Spanish conscripts from 1850 to 1958. They found that \u201cliterate conscripts were always taller than illiterate ones (by nearly 1 cm), and agricultural workers, with fewer economic resources, were significantly shorter (by 3.6 cm) than highly qualified non-manual workers\u201d.{ref}Ayuda, M. I., & Puche-Gil, J. (2014). ", "spanType": "span-simple-text" }, { "url": "https://www.sciencedirect.com/science/article/pii/S1570677X14000677", "children": [ { "text": "Determinants of height and biological inequality in Mediterranean Spain, 1859\u20131967", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". 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It also compared the height distributions of Uganda and Togo, where average heights were roughly equal, but there was higher income inequality in the former than the latter. Sure enough, the distribution of heights was wider in Uganda.{ref}Moradi, A., & Baten, J. (2005). ", "spanType": "span-simple-text" }, { "url": "https://www.sciencedirect.com/science/article/pii/S0305750X05000756", "children": [ { "text": "Inequality in Sub-Saharan Africa: new data and new insights from anthropometric estimates", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". 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Twin and adoption studies typically estimate heritability at about 0.8.{ref}Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., \u2026 & Goddard, M. E. (2010). ", "spanType": "span-simple-text" }, { "url": "https://www.nature.com/articles/ng.608", "children": [ { "text": "Common SNPs explain a large proportion of the heritability for human height", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": ". 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2013-10-08 20:56:45 | 2024-02-16 14:22:38 | [ "Max Roser", "Cameron Appel", "Hannah Ritchie" ] |
The average height of a population can inform us about the nutrition and living conditions of populations in the past for which we have little other data. | 2019-06-28 13:45:43 | 2023-04-06 16:45:24 | https://ourworldindata.org/wp-content/uploads/2019/05/average-height-by-year-of-birth.png | {} |
This article was first published in 2013, and updated in May 2019. Poor nutrition and illness in childhood limit human growth. As a consequence, the average height of a population is strongly correlated with living standards in a population. This makes the study of human height relevant for historians who want to understand the history of living conditions. Because the effect of better material living standards is to make people taller, human height is used as an indirect measure for living standards. It is especially relevant for the study of living conditions in periods for which little or no other data is available – what historians refer to as the pre-statistical period. It is important to stress that height is not used as a direct measure of well-being. The variation of height _within_ a given population is largely determined by genetic factors.{ref}Recent breakthroughs in sequencing the human genome have allowed identification of 697 genetic variants that influence the height of an individual. In a study of over 250,000 individuals using genome-wide data, the study was able to identify 697 variants that determine an individuals height. Wood et al (2014) – Defining the role of common variation in the genomic and biological architecture of adult human height. In Nature Genetics. Online [here](http://www.nature.com/ng/journal/v46/n11/full/ng.3097.html).{/ref} The history of human height allows us to track progress against undernourishment and disease and makes it possible to understand who started to benefit from modern advancements when. **[See all interactive charts on human height ↓](#all-charts)** --- # The history of human height --- ## The Last Two Millennia Over the last two millennia, human height, based on skeletal remains, has stayed fairly steady, oscillating around 170cm. With the onset of modernity, we see a massive spike in heights in the developed world. It is worth noting that using skeletal remains is subject to measurement error with respect to the estimated height and time period. ##### Male heights from skeletons in Europe, 1-2000 – Clark{ref} The source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press. The original source of the Data is Steckel, 2001. “Health and Nutrition in the Pre-Industrial Era: Insights from a Millennium of Average Heights in Northern Europe.” Working Paper 8542. Cambridge, Mass.: National Bureau of Economic Research., figures 3 and 4, and Koepke, Nikola, and Joerg Baten. 2005. “The Biological Standard of Living in Europe during the Last Two Millennia.” European Review of Economic History 9(1): 61–95. A version of this paper is online [here](http://www.econstor.eu/bitstream/10419/47594/1/574888918.pdf).{/ref} <Image filename="male-heights-from-skeletons-in-europe-1-2000-clark.png" alt="Male heights from skeletons in Europe, (1–2000) – Clark"/> ## Increase of human height over two centuries The University of Tuebingen provides data on human height for men in many countries around the world from 1810 to 1980. It gives us a perspective of changes over almost two centuries. We see this data in the charts. <Chart url="https://ourworldindata.org/grapher/average-height-of-men-for-selected-countries"/> Human height has steadily increased over the past 2 centuries across the globe. This trend is in line with general improvements in health and nutrition during this period. Historical data on heights tends to come from soldiers (conscripts), convicted criminals, slaves and servants. It is for this reason much of the historical data focuses on men. Recent data on heights uses additional sources including surveys and medical records. <Chart url="http://ourworldindata.org/grapher/average-height-of-men-for-selected-countries?tab=map"/> ## How has height changed globally? People today are taller, on average, than their ancestors 100 years ago. This is true for every country in the world. But how much have human heights changed, and how does this vary across the world? The data shown here is based on a global study, published by NCD Risk Factor Collaboration (NCD-RisC) in 2016.{ref}NCD Risk Factor Collaboration (NCD-RisC) (2016). [A century of trends in adult human height](https://cdn.elifesciences.org/articles/13410/elife-13410-v2.pdf). _eLife,_ p. e13410.{/ref} This dataset is based on both demographic and health surveys as well as academic studies. It reports mean height for adults by year of birth, from 1896 to 1996; in other words, people who had reached their eighteenth birthday from 1914 to 2014. If we compare adult men born in 1996 versus those born a century earlier – men who had reached the age of 18 in 2014 versus 1914 – we see that the global mean height for men increased from 162 to 171 centimeters (cm). We see this in the chart. For women, this increased from 151 cm to 159 cm. The average young adult today is around 8 or 9 cm, or about 5%, taller than their ancestors 100 years ago. <Chart url="https://ourworldindata.org/grapher/average-height-by-year-of-birth"/> ### Regional variation in height changes There are significant regional variations in change in average human heights. The following slope chart illustrates the changes in mean male height by region. Here we see that the largest gains in height were seen for European and Central Asian men; their mean height increased by 11 cm, overtaking North American men in the process. The smallest absolute gains were seen for South Asian men; mean height increased by only 5 cm. Overall, the regional variation in male heights increased over the last century. For men born in 1896, there was an eight centimetre gap in mean height between the shortest and tallest region. 100 years later, this gap had increased to 12 cm. We can also see this regional change for women, [here](https://ourworldindata.org/grapher/change-in-female-height-slope). Again, the trends are similar: heights of European and Central Asian women increased the most – gaining 11 cm and overtaking North American women. Compared to men, there was less of a divergence in female heights by region: for women born in 1896, the gap between the tallest and shortest region was 9 to 10 cm. A century later, this was almost the same – 10 to 11 cm. <Chart url="https://ourworldindata.org/grapher/change-in-male-height-slope"/> ### Which countries have seen the greatest absolute gains in height? Some countries have seen much larger increases in average human height than others. The chart shows the absolute change in the mean height of adult women for each country. As reflected in the regional trends above, the largest increases were typically in –but not limited to – Europe and Central Asia. The largest absolute change was seen for South Korean women, whose mean height increased by 20 cm. Compare this to Madagascar, which had the smallest gain of only 1.5 cm. In [this chart](https://ourworldindata.org/grapher/change-in-male-height), we can see the same metric for men. Iranian men saw the largest change, gaining 16.5 cm in mean height, while men from the Marshall Islands grew by only 0.5 cm. Despite variation across countries, men and women globally saw similar gains: about 8 to 9 cm. <Chart url="https://ourworldindata.org/grapher/absolute-gains-in-mean-female-height"/> ### Which countries have seen the greatest relative gains in height? Relative changes offer a different perspective on changes in average human heights, illustrated [here for men](https://ourworldindata.org/grapher/relative-change-male-height) and [here for women](https://ourworldindata.org/grapher/relative-change-in-female-height). While average height of men around the world increased by 5%, the percentage change in the height of Iranian men was double that at 10%. By contrast, Marshallese men grew by less than 0.5%. South Korean women saw the largest relative increase – 15% – while the height of Tuvalese women increased by less than 1%. ### Did heights across the world increase more for men or women? Did men or women see the greatest increase in height over this period? It depends on the country. At the global level, the relative increase in mean height was the same for men and women: around five percent. But as we see, there is significant variation across countries. This chart shows the percentage change for men on the y-axis, and for women on the x-axis. The grey line here represents parity: where the change was the same for both sexes. Countries which lie above the grey line saw greater height increase for men than for women; for countries below the line, the opposite is true. Some countries saw very different changes for men and women. In South Korea, for example, mean height for women increased by 14% versus 9% for men. In the Philippines the opposite was true: male height increased by around 5% versus only 1% for women. <Chart url="https://ourworldindata.org/grapher/increase-male-vs-female-height"/> --- # Human height across the world --- ## How does human height vary across the world? Human height is a partly heritable trait. However, non-genetic, environmental factors during pregnancy, childhood, and adolescence – such as nutrition and health – have an impact on the population-wide distribution of height. As such, variations in height across the world [indicate](https://ourworldindata.org/human-height#what-explains-differences-in-human-height) not only genetic differences, but also general differences in living standards. Here, we examine variations in mean male and female heights by country. ### How tall are men across the world? The global mean height of adult men born in 1996 is 171 centimetres (cm), or 5 foot and 7.5 inches. There are large variations in average height between nations: the shortest being men in Timor at 160 cm, and the tallest from the Netherlands at 182 cm. This represents a range of 22 cm, or 8 inches. There are also clear distinctions between regions. On average, the shortest men can be found in South Asia, where the average height is 165 cm, while the tallest are from Europe and Central Asia, at 177 cm. <Chart url="https://ourworldindata.org/grapher/average-height-of-men"/> ### How tall are women across the world? On average, women are almost 12 centimetres shorter than men. The global average height of adult women born in 1996 is 159 cm, or 5 foot and 3 inches. The country with the shortest women is Guatemala, where the average height is 149 cm, while Latvian women are 20 cm taller (at 169 cm). There are also regional variations in the heights of women. As with men, the tallest women are European and Central Asian, with a mean height of 164 cm, while women from South Asia tend to be the shortest, measuring 153 cm on average. <Chart url="https://ourworldindata.org/grapher/average-height-of-women"/> --- # Gender differences in height --- ## How much taller are men than women? Globally, the mean height of women is about four and a half inches, or 12 centimeters (cm), shorter than that of men. In the latest available data, the [global mean height](https://ourworldindata.org/grapher/average-height-by-year-of-birth) for men was 171 cm, versus 159 cm for women. This height disparity between the sexes is present everywhere in the world. It’s largest in North Macedonia, where men are typically 18.5 cm taller than women, and smallest in The Gambia, where the mean difference is only 4.5 cm. You can see the absolute difference in mean heights for any country in the world [here](https://ourworldindata.org/grapher/average-height-by-year-of-birth). The scatter plot illustrates the difference between the average heights of men and women around the world. It plots average male height on the y-axis, and average female height on the x-axis. The grey line shows where these heights are equal. As we can see, all countries lie above this line; this means that on average, men are taller than women in every country in the world. <Chart url="https://ourworldindata.org/grapher/mean-height-males-vs-females"/> ### Where are men much taller than women? The following map shows the ratio of male-to-female average heights across the world. Globally, the ratio is 1.07, meaning that on average, men are about 7% taller than women. Across the world, this relative difference between the sexes can vary from only 2-3% to over 12%. Regionally, the gap in mean height between men and women is smallest across Sub-Saharan Africa: there, many countries lie below the global average difference of 7%. The global ratio – around 1.07 – has remained pretty much constant since the data began in 1896 despite large increases in absolute terms in the average heights of both men and women. Despite a relatively consistent ratio at the global level, some countries have seen significant changes. A century ago, South Korean males were on average 18 cm taller than their female counterparts; this difference has fallen to 13 cm, meaning that South Korean women have seen larger absolute gains in height than South Korean men. By contrast, in the Philippines this difference has doubled from 7 cm to 14 cm, meaning that average height of Filipino men has increased faster than that of Filipino women. <Chart url="https://ourworldindata.org/grapher/male-to-female-height-ratio"/> ## How do expected growth trends differ for boys and girls? As we’ve previously explored, the average man is taller than the average woman: this holds true across all countries in the world. But when does this differentiation in heights take place? How do the growth trends for boys and girls in childhood differ? The chart presents the expected growth rates for healthy boys and girls during childhood and adolescence. It combines data from World Health Organization (WHO) growth reference standards for infants, children, and adolescents. These standards are used to assess the degree to which the health and nutritional demands for growth and development are met around the world. The studies included healthy children from a diverse set of ethnicities, in order to reduce the impact of genetic variability between populations.{ref}See [here](https://www.who.int/childgrowth/standards/Technical_report.pdf?ua=1 ) and [here](https://www.who.int/growthref/growthref_who_bull.pdf?ua=1) at the WHO.{/ref} As the chart shows, boys are typically a fraction taller than girls at birth. Both sexes grow very quickly in the first six months of life, with this growth rate decreasing gradually during the following years. After three years of life, both boys and girls have approximately doubled in height since birth, but boys are still slightly taller. By the age of eight, the rate of growth for boys begins to slow, but for girls it stays high and around the age of nine, we see that the median height of girls is slightly higher than for boys. At 11 years old, girls are typically more than two centimeters taller than boys. But around this age the rate of growth of girls begins to slow and boys start to grow faster again so that around the age of 13, boys overtake again. Girls tend to stop growing a few years earlier than boys, reaching their final adult height around 16 years old. Boys peak later, at around 18 years old. At this stage, they’re 13 centimeters taller than girls on average. Of course, not all children grow at the same rate. The ribbons around the median growth lines on the chart represent two standard deviations above and below the median expected trend. Heights which fall within two standard deviations of the median are considered to be ‘healthy growth’. **Stunted growth**: A child whose height-for-age falls below this ribbon is considered to be ‘stunted’ – this means their height is too short for their age. Stunting typically occurs during the first two years of life, since this is when growth is fastest and sufficient nutrition is crucial. This means environmental factors have an important effect during this period.{ref}Martorell, R. (1989). Body size, adaptation and function. Human Organization, 15-20.{/ref} There is evidence to suggest that ‘catch-up growth’ – growth that is faster than normal for age and follows a period of growth inhibition – is possible if environmental factors improve.{ref}Jee, Y. H., Baron, J., Phillip, M., & Bhutta, Z. A. (2014). Malnutrition and catch-up growth during childhood and puberty. World Review of Nutrition and Dietetics, 109, 89.{/ref}{ref}Perkins, J. M., Subramanian, S. V., Davey Smith, G., & Özaltin, E. (2016). Adult height, nutrition, and population health. Nutrition Reviews, 74(3), 149-165.{/ref} The expected average height of a healthy population should be 163 cm for women and 176.5 cm for men – as defined by the WHO growth reference standards. Interestingly, the global average height is 159.5 cm for women, and 171 cm for men – it’s lower than we’d expect. This disparity between the actual and expected global average height may be due to the fact that historically, and still today, a large share of children are stunted. In 1990, around 40% were stunted. It has fallen since then to around 22% in 2017, but with large variations across the world. <Image filename="Healthy20height20growth20curves.png" alt=""/> --- # Human height in prehistoric times --- ## Mesolithic times, middle ages, subsistence societies and modern foragers In the last two centuries height has substantially increased in many world regions, but up until modern times the archeological record of human skeletons suggests that there was no trend towards improving living conditions. The two tables present estimates of the heights of men in foraging and subsistence societies with those from preindustrial societies. There is no clear difference between these records suggesting that preindustrial societies were just as badly off as their ancestors millennia ago – which is consistent with the 'Malthusian Model' of the pre-growth economy, which we discuss in [our entry on economic growth](https://owid.cloud/economic-growth). ##### Heights of adult males in modern foraging and subsistence societies – Clark (2008){ref} The Source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press. Notes: *denotes heights adjusted to ages 21–40. The heights of all !Kung males averaged 2 centimeters less than those aged 21–40. The original sources of Clark are: Steckel, Richard H., and Joseph M. Prince. 2001. “Tallest in the World: Native Amer- icans of the Great Plains in the Nineteenth Century.” American Economic Review 91(1): 287–294. b Page 102 in Kelly, Robert L. 1995. The Foraging Spectrum: Diversity in Hunter-Gatherer Lifeways. Washington, D.C.: Smithsonian Institution Press. c Page 223 in Jenike, Mark R. 2001. “Nutritional Ecology: Diet, Physical Activity, and Body Size.” In Hunter-Gatherers: an Interdisciplinary Perspective, eds. Catherine Panter-Brick, Robert H. Layton, and Peter Rowley-Conwy. Cambridge, U.K.: Cambridge University Press, pp. 205–238. d Page 207 in Hawkes, Ernest William. 1916. “Skeletal Measurements and Observations of the Point Barrow Eskimo with Comparisons with Other Eskimo Groups.” American An- thropologist, New Series 18(2): 203–244. e Page 327 in Boaz, Franz. 1891. “Physical Characteristics of the Indians of the North Pacific Coast.” American Anthropologist 2(4): 321–328. f Page 69 in Trevor, J. C. 1947. “The Physical Characteristics of the Sandawe.” Journal of the Royal Anthropological Institute of Great Britain and Ireland 77(1): 61–78. g Page 751 in Boaz 1899. “Anthropometry of Shoshonean Tribes.” American Anthropologist New Series 1(4): 751–758. h Page 267 in Guppy, H. B. 1886. “On the Physical Characters of the Solomon Islanders.” Journal of the Anthropological Institute of Great Britain and Ireland 15: 266–285. i Page 172 in Truswell, A. Stewart, and John D. L. Hansen. 1976. “Medical Research among the !Kung.” In Kalahari Hunter-Gatherers, eds. Richard B. Lee and Irven DeVore. Cambridge, Mass.: Harvard University Press, pp. 166–194. j Pages 180–82 in Hurtado, A. Magdalena, and Kim R. Hill. 1987. “Early Dry Season Subsistence Ecol- ogy of Cuiva (Hiwi) Foragers of Venezuela.” Human Ecology 15(2): 163–187.{/ref} <div class="raw-html-table__container"><table><thead><tr><th scope="col" colspan="1">Period</th><th scope="col" colspan="1">Group</th><th scope="col" colspan="1">Location</th><th scope="col" colspan="1">Ages</th><th scope="col" colspan="1">Height (centimeters)</th></tr></thead><tbody><tr><td colspan="1" rowspan="1">1892</td><td colspan="1" rowspan="1">Plains Indians (a)</td><td colspan="1" rowspan="1">United States</td><td colspan="1" rowspan="1">23–49</td><td colspan="1" rowspan="1">172</td></tr><tr><td colspan="1" rowspan="1">1970s</td><td colspan="1" rowspan="1">Anbarra (b)</td><td colspan="1" rowspan="1">Australia</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">172*</td></tr><tr><td colspan="1" rowspan="1">1970s</td><td colspan="1" rowspan="1">Rembarranga (c)</td><td colspan="1" rowspan="1">Australia</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">171*</td></tr><tr><td colspan="1" rowspan="1">1910</td><td colspan="1" rowspan="1">Alaskan Inuit (d)</td><td colspan="1" rowspan="1">United States</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">170*</td></tr><tr><td colspan="1" rowspan="1">1890</td><td colspan="1" rowspan="1">Northern Pacific Indians (e)</td><td colspan="1" rowspan="1">United States</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">167*</td></tr><tr><td colspan="1" rowspan="1">1944</td><td colspan="1" rowspan="1">Sandawe (f)</td><td colspan="1" rowspan="1">Tanzania</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">167*</td></tr><tr><td colspan="1" rowspan="1">1891</td><td colspan="1" rowspan="1">Shoshona (g)</td><td colspan="1" rowspan="1">United States</td><td colspan="1" rowspan="1">20–59</td><td colspan="1" rowspan="1">166</td></tr><tr><td colspan="1" rowspan="1">1970s</td><td colspan="1" rowspan="1">Fox Basin Inuit (c)</td><td colspan="1" rowspan="1">Canada</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">166*</td></tr><tr><td colspan="1" rowspan="1">1880s</td><td colspan="1" rowspan="1">Solomon Islanders (h)</td><td colspan="1" rowspan="1">Solomon Is.</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">165*</td></tr><tr><td colspan="1" rowspan="1">1906</td><td colspan="1" rowspan="1">Canadian Inuitd (d)</td><td colspan="1" rowspan="1">Canada</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">164*</td></tr><tr><td colspan="1" rowspan="1">1969</td><td colspan="1" rowspan="1">!Kung (i)</td><td colspan="1" rowspan="1">Bostwana</td><td colspan="1" rowspan="1">21–40</td><td colspan="1" rowspan="1">163</td></tr><tr><td colspan="1" rowspan="1">1980s</td><td colspan="1" rowspan="1">Ache (j)</td><td colspan="1" rowspan="1">Paraguay</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">163*</td></tr><tr><td colspan="1" rowspan="1">1970s</td><td colspan="1" rowspan="1">Hadza (c)</td><td colspan="1" rowspan="1">Tanzania</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">163*</td></tr><tr><td colspan="1" rowspan="1">1985</td><td colspan="1" rowspan="1">Hiwi (j)</td><td colspan="1" rowspan="1">Venezuela</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">156*</td></tr><tr><td colspan="1" rowspan="1">1980s</td><td colspan="1" rowspan="1">Batak (c)</td><td colspan="1" rowspan="1">Philippines</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">155*</td></tr><tr><td colspan="1" rowspan="1">1980s</td><td colspan="1" rowspan="1">Agta (c)</td><td colspan="1" rowspan="1">Philippines</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">155*</td></tr><tr><td colspan="1" rowspan="1">1980s</td><td colspan="1" rowspan="1">Aka (c)</td><td colspan="1" rowspan="1">Central African Republic</td><td colspan="1" rowspan="1">Adults</td><td colspan="1" rowspan="1">155*</td></tr></tbody></table></div> ##### Heights from skeletal remains by period, from mesolithic times until now, globally – Clark (2008){ref} The Source is Clark (2008) - A Farewell to Alms: A Brief Economic History of the World. Princeton University Press. The original sources of Clark are: a Page 133 in Meiklejohn, Christopher, and Marek Zvelebil. 1991. “Health Status of European Populations at the Agricultural Transition and the Implications for the Adoption of Farming.” In Health in Past Societies: Biocultural Interpretations of Human Skeletal Remains in Archaeological Contexts, eds. Helen Bush and Marek Zvelebil. British Archaeological Reports International Series 567. Oxford: Tempus Reparatum. b Pages 51–52 in Bennike, Pia. 1985. Paleopathology of Danish Skeletons. Copenhagen: Akademisk Forlag. c Steckel 2001. “Health and Nutrition in the PreIndustrial Era: Insights from a Millen- nium of Average Heights in Northern Europe.” Working Paper 8542. Cambridge, Mass.: National Bureau of Economic Research. d Masali, M. 1972. “Bone Size and Proportions as Revealed by Bone Measurements and Their Meaning in Environmental Adaptation.” Journal of Human Evolution 1: 187–197. e Mellink, Machteld J., and J. Lawrence Angel. 1970. “Excavations at Karatas-Semay U.K. and Elmali, Lycia, 1969.” American Journal of Archaeology 74(3): 245– 259. f Angel, J. Lawrence. 1971. The People of Lerna: Analysis of a Prehistoric Aegean Popula- tion. Athens: American School of Classical Studies. g Pages 43–45 in Houghton, Philip. 1996. People of the Great Ocean: Aspects of the Human Biology of the Early Pacific. Cambridge, U.K.: Cambridge University Press. h Boix, Carles, and Frances Rosenbluth. 2004. “Bones of Contention: The Political Economy of Height Inequality.” Working Paper, University of Chicago, Department of Political Science. Table 6. i Dutta, Pratap C. 1984. “Biological Anthropology of Bronze Age Harappans: New Perspectives.” In The People of South Asia: The Biological Anthropology of India, Pakistan, and Nepal, ed. John R. Lukacs. New York: Plenum Press, pp. 59–76.{/ref} <div class="raw-html-table__container"><table><thead><tr><th scope="col" colspan="1">Period</th><th scope="col" colspan="1">Location</th><th scope="col" colspan="1">Observations</th><th scope="col" colspan="1">Height (centimeters)</th></tr></thead><tbody><tr><td colspan="1" rowspan="1">Mesolithic (a)</td><td colspan="1" rowspan="1">Europe</td><td colspan="1" rowspan="1">82</td><td colspan="1" rowspan="1">168</td></tr><tr><td colspan="1" rowspan="1">Neolithic (a,b)</td><td colspan="1" rowspan="1">Europe</td><td colspan="1" rowspan="1">190</td><td colspan="1" rowspan="1">167</td></tr><tr><td colspan="1" rowspan="1"></td><td colspan="1" rowspan="1">Denmark</td><td colspan="1" rowspan="1">103</td><td colspan="1" rowspan="1">173</td></tr><tr><td colspan="1" rowspan="1">1600–1800 ( c)</td><td colspan="1" rowspan="1">Holland</td><td colspan="1" rowspan="1">143</td><td colspan="1" rowspan="1">167</td></tr><tr><td colspan="1" rowspan="1">1700–1800 ( c)</td><td colspan="1" rowspan="1">Norway</td><td colspan="1" rowspan="1">1956</td><td colspan="1" rowspan="1">165</td></tr><tr><td colspan="1" rowspan="1">1700–1850 ( c)</td><td colspan="1" rowspan="1">London</td><td colspan="1" rowspan="1">211</td><td colspan="1" rowspan="1">170</td></tr><tr><td colspan="1" rowspan="1">Pre-Dynastic (d)</td><td colspan="1" rowspan="1">Egypt</td><td colspan="1" rowspan="1">60</td><td colspan="1" rowspan="1">165</td></tr><tr><td colspan="1" rowspan="1">Dynastic (d)</td><td colspan="1" rowspan="1">Egypt</td><td colspan="1" rowspan="1">126</td><td colspan="1" rowspan="1">166</td></tr><tr><td colspan="1" rowspan="1">2500 BC (e)</td><td colspan="1" rowspan="1">Turkey</td><td colspan="1" rowspan="1">72</td><td colspan="1" rowspan="1">166</td></tr><tr><td colspan="1" rowspan="1">1700 BC (f)</td><td colspan="1" rowspan="1">Lerna, Greece</td><td colspan="1" rowspan="1">42</td><td colspan="1" rowspan="1">166</td></tr><tr><td colspan="1" rowspan="1">2000–1000 BC (g)</td><td colspan="1" rowspan="1">Harappa, India</td><td colspan="1" rowspan="1">—</td><td colspan="1" rowspan="1">169</td></tr><tr><td colspan="1" rowspan="1">300 BC–AD 250 (h)</td><td colspan="1" rowspan="1">Japan (Yayoi)</td><td colspan="1" rowspan="1">151</td><td colspan="1" rowspan="1">161</td></tr><tr><td colspan="1" rowspan="1">1200–1600 (h)</td><td colspan="1" rowspan="1">Japan (medieval)</td><td colspan="1" rowspan="1">20</td><td colspan="1" rowspan="1">159</td></tr><tr><td colspan="1" rowspan="1">1603–1867 (h)</td><td colspan="1" rowspan="1">Japan (Edo)</td><td colspan="1" rowspan="1">36</td><td colspan="1" rowspan="1">158</td></tr><tr><td colspan="1" rowspan="1">1450 (i)</td><td colspan="1" rowspan="1">Marianas, Taumako</td><td colspan="1" rowspan="1">70</td><td colspan="1" rowspan="1">174</td></tr><tr><td colspan="1" rowspan="1">1650 (i)</td><td colspan="1" rowspan="1">Easter Island</td><td colspan="1" rowspan="1">14</td><td colspan="1" rowspan="1">173</td></tr><tr><td colspan="1" rowspan="1">1500–1750 (i)</td><td colspan="1" rowspan="1">New Zealand</td><td colspan="1" rowspan="1">124</td><td colspan="1" rowspan="1">174</td></tr><tr><td colspan="1" rowspan="1">1400–1800 (i)</td><td colspan="1" rowspan="1">Hawaii</td><td colspan="1" rowspan="1">—</td><td colspan="1" rowspan="1">173</td></tr></tbody></table></div> --- # Is the increase in human height coming to an end? --- Human height for both men and women has [increased over the past century](https://ourworldindata.org/human-height#a-century-of-human-height-how-has-adult-height-changed-over-time): this is true of every country in the world. But, over the last few decades, human height in some countries have been stagnating. This is illustrated in the following charts which show the year-on-year relative change in average male and female heights by region. Positive values here indicate an increase in average height from one year to the next; zero indicates no change; and negative indicates a decline. Here we can pull out several key points. Firstly, we see that changes in height across the world are gradual: average heights do not suddenly jump one year to the next, but instead tend to change at rates of less than 1% per year. Secondly, we see that across all regions, average human heights have experienced significant growth over the past century. But the trends also suggest that growth in average male heights have stagnated in Europe and Central Asia, while reversing in the Middle East and North Africa, East Asia and Pacific, and Sub-Saharan Africa. The story is largely the same for women, but with the addition that average female heights in North America have stagnated as well. This seems like an unexpected result. Human height is positively [correlated with standards of living](https://ourworldindata.org/human-height#what-explains-differences-in-human-height); living standards have been increasing across the world in recent decades, so why would average human heights be stagnating or even falling? This trend is particularly curious for Sub-Saharan Africa, where average height appears to be falling the most while the [region has simultaneously achieved progress](https://africaindata.org/#/title-slide) across many aspects of wellbeing. In the next section we explore why this might be the case. <Chart url="https://ourworldindata.org/grapher/annual-change-in-average-male-height"/> <Chart url="https://ourworldindata.org/grapher/annual-change-in-average-female-height"/> ## Why has growth in human height stagnated in rich countries? Height is partly determined by genetics. Evolution aside, the genes of a population are fixed.{ref}This is based on the assumption that evolution is a very slow process that takes thousands of years to occur; the [pace](https://theconversation.com/human-evolution-is-still-happening-possibly-faster-than-ever-105683) of evolution does vary, however.{/ref} As such, it is reasonable to assume that there is an upper limit to average heights, at which nutritional and health factors are optimal. This scenario could explain the recent stagnation, especially in high income countries across Europe and Central Asia, where living standards are high. A study published in _Nature_ examined the recent stagnation of heights in the Netherlands, the tallest population in the world.{ref}Schönbeck, Y., Talma, H., van Dommelen, P., Bakker, B., Buitendijk, S. E., HiraSing, R. A., & van Buuren, S. (2013). [The world’s tallest nation has stopped growing taller: the height of Dutch children from 1955 to 2009](https://www.nature.com/articles/pr2012189#ref12). _Pediatric research_, _73_(3), 371.{/ref} They found similar results: that the 150 year increase in average heights in the Netherlands had came to an end in recent decades. They concluded that the reason for this is not entirely clear. They suggest that the Dutch may have reached the maximum mean height possible for the population. But they also hypothesized that recent lifestyle changes – not a genetic upper bound – may be hindering further increases in the average heights of men and women. For example, “easy access to fast food nowadays … may lead to inadequate nutrient intake, which may result in lower height”. Furthermore, “less energy expenditure due to a sedentary lifestyle leads to an increase in overweight and obesity … which, in turn, are related to lower height”.{ref}Freedman, D. S., Khan, L. K., Serdula, M. K., Dietz, W. H., Srinivasan, S. R., & Berenson, G. S. (2003). [The relation of menarcheal age to obesity in childhood and adulthood: the Bogalusa heart study](https://bmcpediatr.biomedcentral.com/articles/10.1186/1471-2431-3-3). _BMC pediatrics_, _3_(1), 3.{/ref} Additionally, “the high consumption of milk in the Netherlands, which has been linked to tallness, declined over the past decade from 63 litres per capita per year in 2000 to 60 in 2010”.{ref}Berkey, C. S., Colditz, G. A., Rockett, H. R., Frazier, A. L., & Willett, W. C. (2009). [Dairy consumption and female height growth: prospective cohort study](http://cebp.aacrjournals.org/content/18/6/1881.short). _Cancer Epidemiology and Prevention Biomarkers_, _18_(6), 1881-1887.{/ref} Therefore, the positive height trend in high-income countries may return if lifestyles improve. Other studies have assessed the apparent stagnation, or slowed growth, in other high-income regions. One investigated not only the stagnation of heights in the United States, but also why they have fallen behind many countries across Europe.{ref}Komlos, J., & Lauderdale, B. E. (2007). [The mysterious trend in American heights in the 20th century](https://www.tandfonline.com/doi/full/10.1080/03014460601116803?needAccess=true&instName=University+of+Oxford). _Annals of human biology_, _34_(2), 206-215.{/ref} In the 19th century, [North Americans were the tallest in the world](https://ourworldindata.org/human-height#how-does-human-height-vary-across-the-world), but fell behind over the course of the 20th century. The study attributes this partly to nutrition, arguing that “there are reasons to believe that US diets are deficient to some extent as nearly a half of households' food expenditure is spent on food outside of the home.{ref}Koletzko, B., De la Guéronnière, V., Toschke, A. M., & Von Kries, R. (2004). [Nutrition in children and adolescents in Europe: what is the scientific basis? Introduction](https://www.cambridge.org/core/journals/british-journal-of-nutrition/article/nutrition-in-children-and-adolescents-in-europe-what-is-the-scientific-basis-introduction/2F641C6EC2DF3963A2689D010970331E). _British Journal of Nutrition_, _92_(S2), S67-S73.{/ref} This is troubling insofar as meals consumed outside of the home are less balanced than those consumed at family dinners.{ref}Bowman, S. A., & Vinyard, B. T. (2004). [Fast food consumption of US adults: impact on energy and nutrient intakes and overweight status](https://www.tandfonline.com/doi/full/10.1080/07315724.2004.10719357). _Journal of the american college of nutrition_, _23_(2), 163-168.{/ref} It also highlights “differences in the socio-economic and health systems of the West and Northern European welfare states and the more market-oriented economy of the USA”, arguing that “socio-economic inequality in America is much greater than in Western Europe and inequality has a negative effect on mean height.{ref}Steckel, R. H. (1995). [Stature and the Standard of Living](https://search.proquest.com/docview/213176477?pq-origsite=gscholar). _Journal of economic literature_, _33_(4), 1903.{/ref} Furthermore, the West European welfare states, in which a subsistence income is more or less guaranteed, provide a more comprehensive social safety net including unemployment insurance and a comprehensive health-insurance coverage.”{ref}Sunder, M. (2003). [The making of giants in a welfare state: the Norwegian experience in the 20th century](https://www.sciencedirect.com/science/article/pii/S1570677X03000406). _Economics & Human Biology_, _1_(2), 267-276.{/ref} ## Why has average human height in Sub-Saharan Africa fallen? In Sub-Saharan Africa, the pattern is even more puzzling. Remarkably, the average male and female heights of the region have been falling since 1970, despite [improvements in health and nutrition](https://africaindata.org/#/title-slide). Some researchers argue that this is due to selection: the least healthy children – whose growth is stunted due to malnutrition – do not survive to adulthood, while the survivors are healthier and taller. When child mortality rates decrease, stunted children survive to adulthood, thus lowering the average adult height.{ref}Bozzoli, C., Deaton, A., & Quintana-Domeque, C. (2009). [Adult height and childhood disease](https://link.springer.com/article/10.1353/dem.0.0079). _Demography_, _46_(4), 647-669.{/ref} This explanation could apply to low income regions, where socioeconomic factors are improving but still relatively weak. ## Will growth resume in the future? Improvements in environmental factors such as nutrition and health could result in further increases in average heights. However, the factors that influence height have an upper limit: nutrient intake, for example, likely has limits above which benefits stop. As such, it’s possible that heights – particularly in countries where living standards are still relatively low – can further increase. But for the richest and tallest countries in the world today, heights may have reached their limit. --- # What explains changes and differences in human height? --- There are large differences in human height [across the world](https://ourworldindata.org/human-height#human-height-across-the-world). These differences are not just geographical: human heights have changed significantly [over our history](https://ourworldindata.org/human-height#human-height-over-time), with increases in every country over the past century. Height is determined by a combination of genetic and environmental factors. How our height might reflect our environment – today and in the past – has been a key focus area for research. Height is often seen as a proxy for ‘biological standards of living’: the World Health Organisation recommends its use “to predict health, performance, and survival”.{ref}World Health Organization. (1995). [Physical status: The use of and interpretation of anthropometry, Report of a WHO Expert Committee](https://apps.who.int/iris/bitstream/handle/10665/37003/WHO_TRS_854.pdf).{/ref} A study of male heights across 105 different countries determined that that “height and the HDI [Human Development Index] seem to be largely interchangeable as indicators of human well-being”.{ref}Grasgruber, P., Sebera, M., Hrazdíra, E., Cacek, J., & Kalina, T. (2016). [Major correlates of male height: A study of 105 countries](https://www.sciencedirect.com/science/article/pii/S1570677X16300065). _Economics & Human Biology_, _21_, 172-195.{/ref} This is illustrated in the following scatter plot which shows the relationship between a country’s Human Development Index and average male height by year of birth. Here we see that people are taller in countries with a higher standard of living. Why is the relationship between individuals’ heights and a country’s socioeconomic development so strong? <Chart url="https://ourworldindata.org/grapher/human-development-index-vs-mean-male-height"/> ## How does nutrition affect health? Nutrition is the one of the strongest determinants of human height.{ref}Perkins, J. M., Subramanian, S. V., Davey Smith, G., & Özaltin, E. (2016). [Adult height, nutrition, and population health](https://academic.oup.com/nutritionreviews/article/74/3/149/1826348). _Nutrition reviews_, _74_(3), 149-165.{/ref} Humans convert the chemical energy stored in the macronutrient constituents of food into energy. Dietary energy intake from food must balance energy expenditure due to metabolic functions and physical activity, plus extra energy costs such as growth during childhood.{ref}Joint, F. A. O. (2004). [Human energy requirements](http://www.fao.org/3/y5686e/y5686e04.htm#bm04). Report of a Joint FAO/WHO/UNU Expert Consultation, Rome, 17-24 October 2001.{/ref} Humans can adapt to an enduring low dietary energy intake, or undernourishment, by reducing the rate of growth, which leads to [stunting](https://ourworldindata.org/hunger-and-undernourishment#too-little-height-for-age-stunting), and restricts adult height. Insufficient dietary energy intakes across a population therefore result in a [low](https://www-jstor-org.ezproxy.cul.columbia.edu/stable/pdf/44125943.pdf?ab_segments=0%252Fdefault-2%252Fcontrol) average adult height.{ref}Martorell, R. (1989). [Body size, adaptation and function](https://www.jstor.org/stable/44125943). _Human Organization_, 15-20.{/ref} Protein is an essential macronutrient in a healthy diet, and is necessary for a wide range of biological processes, including growth. It is made up of basic building blocks called amino acids. Some amino acids - known as the nutritionally essential amino acids - cannot be made in the body, and so must come from the diet. Diets must provide adequate quantities of the full range of amino acids for human growth and metabolism. The capacity of different protein sources to satisfy these demands, based on their amino acid profile and digestibility, is defined as ‘protein quality’.{ref}Joint, W. H. O. (2007). [Protein and amino acid requirements in human nutrition](https://www.who.int/nutrition/publications/nutrientrequirements/WHO_TRS_935/en/). _World Health Organization technical report series_, (935), 1.{/ref} The table shows the protein quality of different foods. Animal source food usually contains higher quality protein than plant source food. They are also a good source of micronutrients, such as iron and zinc, which are necessary for metabolism.{ref}Neumann, C., Harris, D. M., & Rogers, L. M. (2002). [Contribution of animal source foods in improving diet quality and function in children in the developing world](https://www.sciencedirect.com/science/article/pii/S0271531701003748). _Nutrition research_, _22_(1-2), 193-220.{/ref} A diet that includes a large proportion of animal source food is therefore likely to provide sufficient amounts of micronutrients and essential amino acids. ##### Protein quality of common foods{ref}Hoffman, J. R., & Falvo, M. J. (2004). Protein–which is best?. Journal of sports science & medicine, 3(3), 118.{/ref} {ref}Nosworthy, M. G., Neufeld, J., Frohlich, P., Young, G., Malcolmson, L., & House, J. D. (2017). Determination of the protein quality of cooked Canadian pulses. Food science & nutrition, 5(4), 896-903.{/ref} {ref}Phillips, S. M. (2016). The impact of protein quality on the promotion of resistance exercise-induced changes in muscle mass. Nutrition & metabolism, 13(1), 64.{/ref} {ref}Schaafsma, G. (2000). The protein digestibility–corrected amino acid score. The Journal of nutrition, 130(7), 1865S-1867S.{/ref} <div class="raw-html-table__container"><table><thead><tr><th scope="col" colspan="1">Protein Source</th><th scope="col" colspan="1">PDCAAS Value</th></tr></thead><tbody><tr><td colspan="1" rowspan="1">Egg</td><td colspan="1" rowspan="1">1</td></tr><tr><td colspan="1" rowspan="1">Milk</td><td colspan="1" rowspan="1">1</td></tr><tr><td colspan="1" rowspan="1">Beef</td><td colspan="1" rowspan="1">0.92</td></tr><tr><td colspan="1" rowspan="1">Pea</td><td colspan="1" rowspan="1">0.64</td></tr><tr><td colspan="1" rowspan="1">Lentil</td><td colspan="1" rowspan="1">0.63</td></tr><tr><td colspan="1" rowspan="1">Black bean</td><td colspan="1" rowspan="1">0.53</td></tr><tr><td colspan="1" rowspan="1">Peanut</td><td colspan="1" rowspan="1">0.52</td></tr><tr><td colspan="1" rowspan="1">Chickpea</td><td colspan="1" rowspan="1">0.52</td></tr><tr><td colspan="1" rowspan="1">Rice</td><td colspan="1" rowspan="1">0.42</td></tr><tr><td colspan="1" rowspan="1">Wheat</td><td colspan="1" rowspan="1">0.42</td></tr></tbody></table></div> A study by Headey (2018) of dietary patterns in lower-income countries suggests there is a strong association between the consumption of animal sourced foods and height.{ref}Headey, D., Hirvonen, K., & Hoddinott, J. (2018). [Animal sourced foods and child stunting](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Headey%2C+D.%2C+Hirvonen%2C+K.%2C+%26+Hoddinott%2C+J.+%282018%29.+Animal+sourced+foods+and+child+stunting.+American+Journal+of+Agricultural+Economics%2C+100%285%29%2C+1302-1319.&btnG=). _American Journal of Agricultural Economics_, _100_(5), 1302-1319.{/ref} For instance, animal proteins comprise 9.5% of energy intake in Madagascar, where the average male height is 161.5 cm; Botswanans get 12.5% of their calories from animal proteins, and the men are 10 cm taller on average. But even larger height disparities begin to arise at high levels of animal protein intake. In high-income countries, where animal protein intake is high, Grasgruber (2014) found that the strongest predictor of male height is the ratio of high-quality animal proteins - from milk products, red meat, and fish - to low-quality plant proteins - from wheat, rice and other cereals.{ref}Grasgruber, P., Cacek, J., Kalina, T., & Sebera, M. (2014). [The role of nutrition and genetics as key determinants of the positive height trend](https://www.sciencedirect.com/science/article/pii/S1570677X14000665). _Economics & Human Biology_, _15_, 81-100.{/ref} This could explain why some countries with very high socioeconomic status have shorter heights than we’d expect. Consider the difference between South Korea and the Netherlands: both have a very high HDI – over 0.9 – but the Dutch are nearly 8 centimeters taller (182.5 cm versus 175 cm). What separates them is their intake of animal protein: the Netherlands’ animal:plant protein ratio is 2.16 versus only 0.69 in South Korea. Appropriate mixtures of plant source proteins - such as cereals plus legumes or oil seeds - are capable of providing the essential amino acids and micronutrients necessary for growth. However, [diets ](https://ourworldindata.org/diet-compositions)in low-income countries are often dependent on a single staple food source. In Bangladesh, for example, over 75% of dietary energy comes from cereals and grains, 90% of which is rice. By contrast, cereals and grains constitute less than a quarter of dietary energy in the United States. As such, low-income countries are unlikely to exhibit enough dietary diversity. Animal proteins form an [increasingly](https://ourworldindata.org/diet-compositions#animal-based-foods-form-a-larger-part-of-our-diet-as-we-get-richer) large part of our diets as income increases. Since nutrition plays a key role in determining height, there is an obvious relationship between income and height.{ref}Komlos, J. (1985). [Stature and Nutrition in the Habsburg Monarchy: The Standard of Living and Economic Development in the Eighteenth Century](https://www.jstor.org/stable/pdf/1859662.pdf?refreqid=excelsior%3A6fea18b025235454469011ec3585e3e9). _The American Historical Review,__90_(5), 1149-1161. doi:10.2307/1859662{/ref} A high level of socioeconomic development therefore predicts taller average heights. <Chart url="https://ourworldindata.org/grapher/share-of-calories-from-animal-protein-vs-mean-male-height"/> ## How does health affect height? Health – particularly in childhood – also influences human height. Disease during childhood can restrict growth because it reduces the availability of nutrients and raises metabolic requirements.{ref}Stephensen, C. B. (1999). [Burden of infection on growth failure](https://academic.oup.com/jn/article/129/2/534S/4731689). _The Journal of nutrition_, _129_(2), 534S-538S.{/ref} Children fighting disease have higher nutritional requirements during a period when nutrients are less available. As such, high incidences of disease should lead to shorter average heights. Grasgruber (2016) found that the socioeconomic factor most strongly correlated with male height is child mortality.{ref}Grasgruber, P., Sebera, M., Hrazdíra, E., Cacek, J., & Kalina, T. (2016). [Major correlates of male height: A study of 105 countries](https://www.sciencedirect.com/science/article/pii/S1570677X16300065). _Economics & Human Biology_, _21_, 172-195.{/ref} This relationship is illustrated in the scatter plot, with child mortality rate on the y-axis and mean male height on the x-axis. A low child mortality rate suggests low incidences of disease, as well as sufficient nourishment, and hence predicts a taller average height. For example, 0.2% of children in Finland die before they are 5 years old compared to 7.4% of children in Afghanistan; the average male heights in Finland is significantly taller at 180 cm versus 165 cm. The relationship between health and height is reinforced by the significant impact of healthcare expenditure. We see this reflected in Arab states where health expenditure is much lower than their income level would predict. For example, compare Oman and the Netherlands: the average male height of the Dutch is 182cm – 13 centimeters taller than the average in Oman. Both countries have high levels of [income per capita](https://ourworldindata.org/grapher/gdp-per-capita-maddison-2020?tab=chart&time=1950..latest&country=NLD+OMN). But the Netherlands spends much more on [healthcare](https://ourworldindata.org/grapher/total-healthcare-expenditure-gdp?tab=chart&country=NLD~OMN): healthcare expenditure in Oman is 4.0% of gross domestic product (GDP) versus 10.1% of GDP in the Netherlands. Both child mortality and healthcare expenditure impact life expectancy: we would therefore expect them to be strong determinants of the relationship between standard of living and average height. Total [fertility rate](https://ourworldindata.org/fertility-rate) (the number of children per woman) also interacts with these determinants, making it the second strongest socioeconomic correlate of height. The role of fertility in high-income countries is marginal since fertility rates are already very low. But it gains statistical significance at lower incomes, where fertility rates are relatively high. In families where there are a large number of children, expenditure and food availability for each child is often lower. We might therefore expect that in countries where the fertility rate is high, health expenditure and nutritional quality per child is low, while incidence of disease is high. <Chart url="https://ourworldindata.org/grapher/child-mortality-rate-vs-mean-male-height-cm"/> ## The effects of immigration on height In a pioneering study of Japanese immigrants to Hawaii published in 1939, Harry Shapiro found there to be a significant difference between the heights of Hawaiian-born Japanese and the Japanese immigrant population.{ref} Shapiro H (1939) Migration and Environment: a study of the physical characteristics of the Japanese immigrants to Hawaii and the effects of environment on their descendants. Oxford University Press {/ref} Shapiro concluded that environmental factors, particularly diet and healthcare, play a significant role in determining height and other physical characteristics. The underlying idea here is that migration from poor countries to rich ones may lead to dramatic changes between generations. In a similar study, Marcus Goldstein (1943) found there to be differences in the heights and other characteristics of the children of Mexican immigrants and their parents, as well as with native born Mexican children.{ref}Goldstein MS (1943) Demographic and Bodily Changes in Descendants of Mexican Immigrants. Austin, TX: University of Texas Institute of Latin American Studies{/ref} --- # Distribution of adult heights --- We have looked in detail at [how _mean_ heights vary](https://ourworldindata.org/human-height#how-does-human-height-vary-across-the-world) across the world. But this tells us very little about the distribution of heights globally, regionally or within in a given country. How do heights vary: do most people have heights very similar to the average; or do they span a wide range? ## Height is normally distributed Adult heights within a population are approximately normally distributed due to genetic and environmental variance.{ref}Komlos, J., & Kim, J. H. (1990). [Estimating trends in historical heights](https://www.tandfonline.com/doi/abs/10.1080/01615440.1990.10594202?journalCode=vhim20). _Historical Methods: A Journal of Quantitative and Interdisciplinary History_, _23_(3), 116-120.{/ref} Height is partly determined by the interaction of 423 genes with 697 variants.{ref}Wood, A. R., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., … & Amin, N. (2014). [Defining the role of common variation in the genomic and biological architecture of adult human height](https://www.nature.com/articles/ng.3097.pdf). _Nature genetics_, _46_(11), 1173.{/ref} One of the basic rules of probability (known as the Central Limit Theorem) says the distribution of a trait that is determined by independent random variables, like height and genes, roughly follows a bell curve. This means the range of human heights in a population fall centrally around the mean height. In statistical terms, it’s also the case that the mean and median height are the same – they fall right in the middle of the distribution.{ref}Although the terms mean and median are often used interchangeably with ‘average’, their values can be very different. To calculate the _mean_ of a range of values, we sum them all and divide by the number of values. To calculate the _median_ we find the value which falls exactly in the middle of the range of values. In a normal distribution, the mean and median are the same. But for other distributions, they can be very different.{/ref} The normal distribution of heights allows us to make inferences about the range. Around 68% of heights will fall within one standard deviation of the mean height; 95% within two standard deviations; and 99.7% within three. If we know the mean and standard deviation of heights, we have a good understanding of how heights vary across a population. Drawing upon height data from almost 150,000 twinned pairs born between 1886 and 1994, one study investigated the variance in heights across populations through time, and tried to explain how much could be explained by genetics versus environmental differences.{ref}Jelenkovic, A., Hur, Y. M., Sund, R., Yokoyama, Y., Siribaddana, S. H., Hotopf, M., … & Pang, Z. (2016). [Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994](https://elifesciences.org/articles/20320#s4). _Elife_, _5_, e20320.{/ref} We see this distribution of heights in the chart. As an aggregate of the regions with available data – Europe, North America, Australia, and East Asia – they found the mean male height to be 178.4 centimeters (cm) in the most recent cohort (born between 1980 and 1994).{ref}This means this cohort reached the age of 18 (adulthood) between 1998 and 2012).{/ref} The standard deviation was 7.59 cm. This means 68% of men were between 170.8 and 186 cm tall; 95% were between 163.2 and 193.6 cm. Women were smaller on average, with a mean height of 164.7 cm, and standard deviation of 7.07 cm. This means 68% of women were between 157.6 and 171.8 cm; and 95% between 150.6 and 178.84 cm. Regionally, the standard deviation of male heights is largest in North America and Australia, at 7.49 cm, and smallest in East Asia, at 6.37 cm. The pattern is the same for women, with 6.96 cm in North America and Australia, and 5.74 cm in East Asia. Some of the distribution of heights within a population is likely to reflect the degree of genetic variance.{ref}Hur, Y. M., Kaprio, J., Iacono, W. G., Boomsma, D. I., McGue, M., Silventoinen, K., … & He, M. (2008). [Genetic influences on the difference in variability of height, weight and body mass index between Caucasian and East Asian adolescent twins](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2577073/). _International Journal of Obesity_, _32_(10), 1455.{/ref} <Image filename="distribution-1.png" alt=""/> ## How does environment and living standards affect the distribution of heights? Differences in height within a population are not only influenced by genetic variance. Greater environmental variance within a population is also reflected by a wider distribution of heights. The distribution of heights has therefore be used as one indicator of socioeconomic inequality in the past.{ref}Van Zanden, J. L., Baten, J., Foldvari, P., & Van Leeuwen, B. (2014). [The changing shape of global inequality 1820–2000; exploring a new dataset](https://onlinelibrary.wiley.com/doi/abs/10.1111/roiw.12014). _Review of income and wealth_, _60_(2), 279-297.{/ref} In a population with perfectly equal access to nutrition and health resources, height distribution would only reflect genetic variation. Unequal access to these resources within a population means that wealthier individuals could have better health and nutrition, and therefore tend to grow taller than poorer ones; variance of heights therefore becomes larger. In other words, resource-based variance due to income inequality is added to genetic variance, widening the distribution of heights. Some empirical evidence across a range of contexts would support this hypothesis. For example, in India in the twentieth-century, an individual’s caste had a significant influence on their height. Members of the high castes – who had better access to nutrition and health resources – were 4.5 cm taller on average than members of the low castes.{ref}Guntupalli, A. M., & Baten, J. (2006). [The development and inequality of heights in North, West, and East India 1915–1944](https://www.sciencedirect.com/science/article/pii/S0014498305000446). _Explorations in Economic History_, _43_(4), 578-608.{/ref} Genetic differences between caste groups are unlikely to account for this height difference, due to the population’s common genetic heritage.{ref}Moorjani, P., Thangaraj, K., Patterson, N., Lipson, M., Loh, P. R., Govindaraj, P., … & Singh, L. (2013). [Genetic evidence for recent population mixture in India](https://www.cell.com/ajhg/fulltext/S0002-9297(13)00324-8#secsectitle0095). _The American Journal of Human Genetics_, _93_(3), 422-438.{/ref} Furthermore, Ayuda (2014) identified a relationship between socioeconomic status and height among Spanish conscripts from 1850 to 1958. They found that “literate conscripts were always taller than illiterate ones (by nearly 1 cm), and agricultural workers, with fewer economic resources, were significantly shorter (by 3.6 cm) than highly qualified non-manual workers”.{ref}Ayuda, M. I., & Puche-Gil, J. (2014). [Determinants of height and biological inequality in Mediterranean Spain, 1859–1967](https://www.sciencedirect.com/science/article/pii/S1570677X14000677). _Economics & Human Biology_, _15_, 101-119.{/ref} Height inequality, which is measured by the coefficient of variation (CV), is therefore positively correlated with income inequality, which is measured by the Gini coefficient. This relationship was observed in a study of Kenya during the 20th century, where the CV mirrored fluctuations in the Gini coefficient. It also compared the height distributions of Uganda and Togo, where average heights were roughly equal, but there was higher income inequality in the former than the latter. Sure enough, the distribution of heights was wider in Uganda.{ref}Moradi, A., & Baten, J. (2005). [Inequality in Sub-Saharan Africa: new data and new insights from anthropometric estimates](https://www.sciencedirect.com/science/article/pii/S0305750X05000756). _World development_, _33_(8), 1233-1265.{/ref} ## Genetics or environment: which contributes most to height variations in a country? So, both genetic and environmental factors have an impact on height variation. But which is the most important determinant? The relative contribution of genetic factors to differences in heights within populations is defined as ‘heritability’. Heritability is measured between 0 and 1; the higher the heritability, the larger the contribution of genetics. Twin and adoption studies typically estimate heritability at about 0.8.{ref}Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., … & Goddard, M. E. (2010). [Common SNPs explain a large proportion of the heritability for human height](https://www.nature.com/articles/ng.608). _Nature genetics_, _42_(7), 565.{/ref} This means that the majority of the variation in height within a population is due to genetic variation, but environmental variation due to socioeconomic factors also has an impact. --- # Data Quality --- Accurately measuring the height of an individual is a straightforward task and so we should be confident that there is relatively little measurement error in the recorded data. This is unlikely to be the case when measuring the height of skeletons. What is more, the techniques used to date skeletal remains (such as radio carbon dating) only provide a probabilistic estimate. Another factor to consider is the potential sample bias from the historical sources. Since the height data is largely composed of soldiers, criminals, salves and servants, these groups may not be representative of the wider population. This problem has been highlighted by academics researching human height.{ref}Howard Bodenhorn, Timothy W. Guinnane, and Thomas Mroz. Biased samples yield biased results: What historical heights can teach us about past living standards. Vox CEPR Policy Portal (2015). Available online [here](http://www.voxeu.org/article/what-historical-heights-can-teach-us-about-past-living-standards).{/ref} In fact, the observed drop in height during the industrial revolution -- usually attributed to the negative health impacts of industrialisation -- can be explained by the labour market conditions that existed at the time. They argue that "as economies grew, tight labour markets discouraged military enlistments by the most productive workers, with those enlisting (and being measured) increasingly over-representing the less advantaged members of society." By comparing the heights of soldiers in the US army with countries that enforced conscription we can see the bias more clearly. In countries that had conscription, the average height of conscripts was increasing over the period, meanwhile in the US where entry was voluntary, the heights of soldiers was falling ##### Mean heights of volunteer soldiers in the US and in selected countries with conscription - Vox{ref} Howard Bodenhorn, Timothy W. Guinnane, and Thomas Mroz. Biased samples yield biased results: What historical heights can teach us about past living standards. Vox CEPR Policy Portal (2015). Available online [here](http://www.voxeu.org/article/what-historical-heights-can-teach-us-about-past-living-standards).{/ref} <Image filename="ourworldindata_mean-heights-of-volunteer-soldiers-in-the-us-and-in-selected-countries-with-conscription-vox.png" alt="Mean heights of volunteer soldiers in the US and in selected countries with conscription - Vox"/> --- # Data Sources --- ### NCD Risk Factor Collaboration (NCD-RisC) * **Data:** Male and female heights * **Geographical coverage:** Global * **Time span:** Adults heights for individuals born from 1896 to 1996. * **Available at:** Online at NCD-RisC [here](http://www.ncdrisc.org/index.html). ### Tübingen Height Data Hub * **Data:** Many different datasets on human height * **Geographical coverage:** Global * **Time span:** Some of the data goes as far back as the 17th century. * **Available at:** It is online at the University of Tübingen [here](https://uni-tuebingen.de/fakultaeten/wirtschafts-und-sozialwissenschaftliche-fakultaet/faecher/fachbereich-wirtschaftswissenschaft/wirtschaftswissenschaft/lehrstuehle/volkswirtschaftslehre/wirtschaftsgeschichte/forschung/data-hub-height.html). * _The authors of this data are Jörg Baten, John Komlos, John Murray et al._ ### Clio Infra project * **Data:** Heights by birth decade and country (male height equivalent in cm) * **Geographical coverage:** 165 countries * **Time span:** 1810-1989 * **Available at:** Online at Clio Infra [here](http://www.clio-infra.eu/) * _The authors are Jörg Baten (University of Tuebingen) and Mathias Blum (Technical University Munich). _ <AllCharts heading="Interactive charts on human height"/> | { "id": 2697, "date": "2013-10-08T20:56:45", "guid": { "rendered": "http://ourworldindata.org/?page_id=2697" }, "link": "https://owid.cloud/human-height", "meta": { "owid_publication_context_meta_field": [], "owid_key_performance_indicators_meta_field": { "raw": "The average young adult is about **5% taller** today than 100 years ago.\n\nHuman height gives us an indicator of changes in health and nutrition in the past.", "rendered": "<p>The average young adult is about <strong>5% taller</strong> today than 100 years ago.</p>\n<p>Human height gives us an indicator of changes in health and nutrition in the past.</p>\n" } }, "slug": "human-height", "tags": [], "type": "page", "title": { "rendered": "Human Height" }, "_links": { "self": [ { "href": "https://owid.cloud/wp-json/wp/v2/pages/2697" } ], "about": [ { "href": "https://owid.cloud/wp-json/wp/v2/types/page" } ], "author": [ { "href": "https://owid.cloud/wp-json/wp/v2/users/2", "embeddable": true } ], "curies": [ { "href": "https://api.w.org/{rel}", "name": "wp", "templated": true } ], "replies": [ { "href": "https://owid.cloud/wp-json/wp/v2/comments?post=2697", "embeddable": true } ], "wp:term": [ { "href": "https://owid.cloud/wp-json/wp/v2/categories?post=2697", "taxonomy": "category", "embeddable": true }, { "href": "https://owid.cloud/wp-json/wp/v2/tags?post=2697", "taxonomy": "post_tag", "embeddable": true } ], "collection": [ { "href": "https://owid.cloud/wp-json/wp/v2/pages" } ], "wp:attachment": [ { "href": "https://owid.cloud/wp-json/wp/v2/media?parent=2697" } ], "version-history": [ { "href": "https://owid.cloud/wp-json/wp/v2/pages/2697/revisions", "count": 30 } ], "wp:featuredmedia": [ { "href": "https://owid.cloud/wp-json/wp/v2/media/23491", "embeddable": true } ], "predecessor-version": [ { "id": 56617, "href": "https://owid.cloud/wp-json/wp/v2/pages/2697/revisions/56617" } ] }, "author": 2, "parent": 0, "status": "publish", "content": { "rendered": "\n<div class=\"blog-info\">This article was first published in 2013, and updated in May 2019.</div>\n\n\n\n<p>Poor nutrition and illness in childhood limit human growth. As a consequence, the average height of a population is strongly correlated with living standards in a population. This makes the study of human height relevant for historians who want to understand the history of living conditions. </p>\n\n\n\n<p>Because the effect of better material living standards is to make people taller, human height is used as an indirect measure for living standards. It is especially relevant for the study of living conditions in periods for which little or no other data is available \u2013 what historians refer to as the pre-statistical period.</p>\n\n\n\n<p>It is important to stress that height is not used as a direct measure of well-being. The variation of height <em>within</em> a given population is largely determined by genetic factors.{ref}Recent breakthroughs in sequencing the human genome have allowed identification of 697 genetic variants that influence the height of an individual. </p>\n\n\n\n<p>In a study of over 250,000 individuals using genome-wide data, the study was able to identify 697 variants that determine an individuals height.</p>\n\n\n\n<p>Wood et al (2014) \u2013 Defining the role of common variation in the genomic and biological architecture of adult human height. In Nature Genetics. Online <a rel=\"noreferrer noopener\" href=\"http://www.nature.com/ng/journal/v46/n11/full/ng.3097.html\" target=\"_blank\">here</a>.{/ref}</p>\n\n\n\n<p>The history of human height allows us to track progress against undernourishment and disease and makes it possible to understand who started to benefit from modern advancements when.</p>\n\n\n\n<h2>The history of human height</h2>\n\n\n\n<h3>The Last Two Millennia</h3>\n\n\n\n<p>Over the last two millennia, human height, based on skeletal remains, has stayed fairly steady, oscillating around 170cm. With the onset of modernity, we see a massive spike in heights in the developed world. It is worth noting that using skeletal remains is subject to measurement error with respect to the estimated height and time period.</p>\n\n\n\n<h6>Male heights from skeletons in Europe, 1-2000 \u2013 Clark{ref}<br> The source is Clark (2008) – A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.<br> The original source of the Data is Steckel, 2001. \u201cHealth and Nutrition in the Pre-Industrial Era: Insights from a Millennium of Average Heights in Northern Europe.\u201d Working Paper 8542. Cambridge, Mass.: National Bureau of Economic Research., figures 3 and 4,<br><br>and<br><br>Koepke, Nikola, and Joerg Baten. 2005. \u201cThe Biological Standard of Living in Europe during the Last Two Millennia.\u201d European Review of Economic History 9(1): 61\u201395. A version of this paper is online <a href=\"http://www.econstor.eu/bitstream/10419/47594/1/574888918.pdf\">here</a>.{/ref}</h6>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" width=\"645\" height=\"403\" src=\"http://ourworldindata.org/app/uploads/2013/10/male-heights-from-skeletons-in-europe-1-2000-clark-645x403.png\" alt=\"Male heights from skeletons in Europe, (1\u20132000) \u2013 Clark\" class=\"wp-image-2704\" srcset=\"https://owid.cloud/app/uploads/2013/10/male-heights-from-skeletons-in-europe-1-2000-clark-645x403.png 645w, https://owid.cloud/app/uploads/2013/10/male-heights-from-skeletons-in-europe-1-2000-clark.png 964w\" sizes=\"(max-width: 645px) 100vw, 645px\" /></figure></div>\n\n\n\n<h3>Increase of human height over two centuries</h3>\n\n\n\n<p></p>\n\n\n\n<p>The University of Tuebingen provides data on human height for men in many countries around the world from 1810 to 1980. It gives us a perspective of changes over almost two centuries. We see this data in the charts.</p>\n\n\n\n<iframe loading=\"lazy\" style=\"border: 0px none;\" src=\"https://ourworldindata.org/grapher/average-height-of-men-for-selected-countries\" scrolling=\"no\" width=\"100%\" height=\"660\"></iframe>\n\n\n\n<p>Human height has steadily increased over the past 2 centuries across the globe. This trend is in line with general improvements in health and nutrition during this period. Historical data on heights tends to come from soldiers (conscripts), convicted criminals, slaves and servants. It is for this reason much of the historical data focuses on men. Recent data on heights uses additional sources including surveys and medical records.</p>\n\n\n\n<iframe loading=\"lazy\" style=\"border: 0px none;\" src=\"http://ourworldindata.org/grapher/average-height-of-men-for-selected-countries?tab=map\" scrolling=\"no\" width=\"100%\" height=\"660\"></iframe>\n\n\n\n<h3>How has height changed globally?</h3>\n\n\n\n<p>People today are taller, on average, than their ancestors 100 years ago. This is true for every country in the world. But how much have human heights changed, and how does this vary across the world?</p>\n\n\n\n<p>The data shown here is based on a global study, published by NCD Risk Factor Collaboration (NCD-RisC) in 2016.{ref}NCD Risk Factor Collaboration (NCD-RisC) (2016). <a rel=\"noreferrer noopener\" href=\"https://cdn.elifesciences.org/articles/13410/elife-13410-v2.pdf\" target=\"_blank\">A century of trends in adult human height</a>. <em>eLife,</em> p. e13410.{/ref} This dataset is based on both demographic and health surveys as well as academic studies. It reports mean height for adults by year of birth, from 1896 to 1996; in other words, people who had reached their eighteenth birthday from 1914 to 2014.</p>\n\n\n\n<p>If we compare adult men born in 1996 versus those born a century earlier \u2013 men who had reached the age of 18 in 2014 versus 1914 \u2013 we see that the global mean height for men increased from 162 to 171 centimeters (cm). We see this in the chart. For women, this increased from 151 cm to 159 cm.</p>\n\n\n\n<p>The average young adult today is around 8 or 9 cm, or about 5%, taller than their ancestors 100 years ago.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/average-height-by-year-of-birth\"></iframe>\n\n\n\n<h4>Regional variation in height changes</h4>\n\n\n\n<p>There are significant regional variations in change in average human heights.</p>\n\n\n\n<p>The following slope chart illustrates the changes in mean male height by region. Here we see that the largest gains in height were seen for European and Central Asian men; their mean height increased by 11 cm, overtaking North American men in the process. The smallest absolute gains were seen for South Asian men; mean height increased by only 5 cm.</p>\n\n\n\n<p>Overall, the regional variation in male heights increased over the last century. For men born in 1896, there was an eight centimetre gap in mean height between the shortest and tallest region. 100 years later, this gap had increased to 12 cm.</p>\n\n\n\n<p>We can also see this regional change for women, <a href=\"https://ourworldindata.org/grapher/change-in-female-height-slope\">here</a>. Again, the trends are similar: heights of European and Central Asian women increased the most \u2013 gaining 11 cm and overtaking North American women. Compared to men, there was less of a divergence in female heights by region: for women born in 1896, the gap between the tallest and shortest region was 9 to 10 cm. A century later, this was almost the same \u2013 10 to 11 cm.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/change-in-male-height-slope\"></iframe>\n\n\n\n<h4>Which countries have seen the greatest absolute gains in height?</h4>\n\n\n\n<p>Some countries have seen much larger increases in average human height than others.</p>\n\n\n\n<p>The chart shows the absolute change in the mean height of adult women for each country. As reflected in the regional trends above, the largest increases were typically in \u2013but not limited to \u2013 Europe and Central Asia. The largest absolute change was seen for South Korean women, whose mean height increased by 20 cm. Compare this to Madagascar, which had the smallest gain of only 1.5 cm.</p>\n\n\n\n<p>In <a href=\"https://ourworldindata.org/grapher/change-in-male-height\">this chart</a>, we can see the same metric for men. Iranian men saw the largest change, gaining 16.5 cm in mean height, while men from the Marshall Islands grew by only 0.5 cm.</p>\n\n\n\n<p>Despite variation across countries, men and women globally saw similar gains: about 8 to 9 cm.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/absolute-gains-in-mean-female-height\"></iframe>\n\n\n\n<h4>Which countries have seen the greatest relative gains in height?</h4>\n\n\n\n<p>Relative changes offer a different perspective on changes in average human heights, illustrated <a rel=\"noopener noreferrer\" href=\"https://ourworldindata.org/grapher/relative-change-male-height\" target=\"_blank\">here for men</a> and <a rel=\"noopener noreferrer\" href=\"https://ourworldindata.org/grapher/relative-change-in-female-height\" target=\"_blank\">here for women</a>.</p>\n\n\n\n<p>While average height of men around the world increased by 5%, the percentage change in the height of Iranian men was double that at 10%. By contrast, Marshallese men grew by less than 0.5%. South Korean women saw the largest relative increase \u2013 15% \u2013 while the height of Tuvalese women increased by less than 1%.</p>\n\n\n\n<h4>Did heights across the world increase more for men or women?</h4>\n\n\n\n<p>Did men or women see the greatest increase in height over this period? It depends on the country.</p>\n\n\n\n<p>At the global level, the relative increase in mean height was the same for men and women: around five percent. But as we see, there is significant variation across countries. This chart shows the percentage change for men on the y-axis, and for women on the x-axis. The grey line here represents parity: where the change was the same for both sexes. Countries which lie above the grey line saw greater height increase for men than for women; for countries below the line, the opposite is true.</p>\n\n\n\n<p>Some countries saw very different changes for men and women. In South Korea, for example, mean height for women increased by 14% versus 9% for men. In the Philippines the opposite was true: male height increased by around 5% versus only 1% for women.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/increase-male-vs-female-height\"></iframe>\n\n\n\n<h2>Human height across the world</h2>\n\n\n\n<h3>How does human height vary across the world?</h3>\n\n\n\n<p>Human height is a partly heritable trait. However, non-genetic, environmental factors during pregnancy, childhood, and adolescence \u2013 such as nutrition and health \u2013 have an impact on the population-wide distribution of height. As such, variations in height across the world <a href=\"https://ourworldindata.org/human-height#what-explains-differences-in-human-height\">indicate</a> not only genetic differences, but also general differences in living standards.</p>\n\n\n\n<p>Here, we examine variations in mean male and female heights by country. </p>\n\n\n\n<h4>How tall are men across the world?</h4>\n\n\n\n<p>The global mean height of adult men born in 1996 is 171 centimetres (cm), or 5 foot and 7.5 inches. There are large variations in average height between nations: the shortest being men in Timor at 160 cm, and the tallest from the Netherlands at 182 cm. This represents a range of 22 cm, or 8 inches.</p>\n\n\n\n<p>There are also clear distinctions between regions. On average, the shortest men can be found in South Asia, where the average height is 165 cm, while the tallest are from Europe and Central Asia, at 177 cm.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/average-height-of-men\"></iframe>\n\n\n\n<h4>How tall are women across the world?</h4>\n\n\n\n<p>On average, women are almost 12 centimetres shorter than men.</p>\n\n\n\n<p>The global average height of adult women born in 1996 is 159 cm, or 5 foot and 3 inches. The country with the shortest women is Guatemala, where the average height is 149 cm, while Latvian women are 20 cm taller (at 169 cm).</p>\n\n\n\n<p>There are also regional variations in the heights of women. As with men, the tallest women are European and Central Asian, with a mean height of 164 cm, while women from South Asia tend to be the shortest, measuring 153 cm on average.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/average-height-of-women\"></iframe>\n\n\n\n<h2>Gender differences in height</h2>\n\n\n\n<h3>How much taller are men than women?</h3>\n\n\n\n<p>Globally, the mean height of women is about four and a half inches, or 12 centimeters (cm), shorter than that of men. In the latest available data, the <a href=\"https://ourworldindata.org/grapher/average-height-by-year-of-birth\" target=\"_blank\" rel=\"noopener noreferrer\">global mean height</a> for men was 171 cm, versus 159 cm for women.</p>\n\n\n\n<p>This height disparity between the sexes is present everywhere in the world. It\u2019s largest in North Macedonia, where men are typically 18.5 cm taller than women, and smallest in The Gambia, where the mean difference is only 4.5 cm. You can see the absolute difference in mean heights for any country in the world <a href=\"https://ourworldindata.org/grapher/average-height-by-year-of-birth\">here</a>.</p>\n\n\n\n<p>The scatter plot illustrates the difference between the average heights of men and women around the world. It plots average male height on the y-axis, and average female height on the x-axis. The grey line shows where these heights are equal. As we can see, all countries lie above this line; this means that on average, men are taller than women in every country in the world.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/mean-height-males-vs-females\"></iframe>\n\n\n\n<h4>Where are men much taller than women?</h4>\n\n\n\n<p>The following map shows the ratio of male-to-female average heights across the world. Globally, the ratio is 1.07, meaning that on average, men are about 7% taller than women.</p>\n\n\n\n<p>Across the world, this relative difference between the sexes can vary from only 2-3% to over 12%. Regionally, the gap in mean height between men and women is smallest across Sub-Saharan Africa: there, many countries lie below the global average difference of 7%.</p>\n\n\n\n<p>The global ratio \u2013 around 1.07 \u2013 has remained pretty much constant since the data began in 1896 despite large increases in absolute terms in the average heights of both men and women.</p>\n\n\n\n<p>Despite a relatively consistent ratio at the global level, some countries have seen significant changes. A century ago, South Korean males were on average 18 cm taller than their female counterparts; this difference has fallen to 13 cm, meaning that South Korean women have seen larger absolute gains in height than South Korean men. By contrast, in the Philippines this difference has doubled from 7 cm to 14 cm, meaning that average height of Filipino men has increased faster than that of Filipino women.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/male-to-female-height-ratio\"></iframe>\n\n\n\n<h3>How do expected growth trends differ for boys and girls?</h3>\n\n\n\n<p>As we\u2019ve previously explored, the average man is taller than the average woman: this holds true across all countries in the world. But when does this differentiation in heights take place? How do the growth trends for boys and girls in childhood differ?</p>\n\n\n\n<p>The chart presents the expected growth rates for healthy boys and girls during childhood and adolescence. It combines data from World Health Organization (WHO) growth reference standards for infants, children, and adolescents. </p>\n\n\n\n<p>These standards are used to assess the degree to which the health and nutritional demands for growth and development are met around the world. The studies included healthy children from a diverse set of ethnicities, in order to reduce the impact of genetic variability between populations.{ref}See <a href=\"https://www.who.int/childgrowth/standards/Technical_report.pdf?ua=1 \">here</a> and <a href=\"https://www.who.int/growthref/growthref_who_bull.pdf?ua=1\">here</a> at the WHO.{/ref}</p>\n\n\n\n<p>As the chart shows, boys are typically a fraction taller than girls at birth. Both sexes grow very quickly in the first six months of life, with this growth rate decreasing gradually during the following years. </p>\n\n\n\n<p>After three years of life, both boys and girls have approximately doubled in height since birth, but boys are still slightly taller.</p>\n\n\n\n<p>By the age of eight, the rate of growth for boys begins to slow, but for girls it stays high and around the age of nine, we see that the median height of girls is slightly higher than for boys.</p>\n\n\n\n<p>At 11 years old, girls are typically more than two centimeters taller than boys. But around this age the rate of growth of girls begins to slow and boys start to grow faster again so that around the age of 13, boys overtake again.</p>\n\n\n\n<p>Girls tend to stop growing a few years earlier than boys, reaching their final adult height around 16 years old. Boys peak later, at around 18 years old. At this stage, they\u2019re 13 centimeters taller than girls on average.</p>\n\n\n\n<p>Of course, not all children grow at the same rate. The ribbons around the median growth lines on the chart represent two standard deviations above and below the median expected trend. Heights which fall within two standard deviations of the median are considered to be \u2018healthy growth\u2019. </p>\n\n\n\n<p><strong>Stunted growth</strong>: A child whose height-for-age falls below this ribbon is considered to be \u2018stunted\u2019 \u2013 this means their height is too short for their age.</p>\n\n\n\n<p>Stunting typically occurs during the first two years of life, since this is when growth is fastest and sufficient nutrition is crucial. This means environmental factors have an important effect during this period.{ref}Martorell, R. (1989). Body size, adaptation and function. Human Organization, 15-20.{/ref} There is evidence to suggest that \u2018catch-up growth\u2019 \u2013 growth that is faster than normal for age and follows a period of growth inhibition \u2013 is possible if environmental factors improve.{ref}Jee, Y. H., Baron, J., Phillip, M., & Bhutta, Z. A. (2014). Malnutrition and catch-up growth during childhood and puberty. World Review of Nutrition and Dietetics, 109, 89.{/ref}{ref}Perkins, J. M., Subramanian, S. V., Davey Smith, G., & \u00d6zaltin, E. (2016). Adult height, nutrition, and population health. Nutrition Reviews, 74(3), 149-165.{/ref}</p>\n\n\n\n<p>The expected average height of a healthy population should be 163 cm for women and 176.5 cm for men \u2013 as defined by the WHO growth reference standards. Interestingly, the global average height is 159.5 cm for women, and 171 cm for men \u2013 it\u2019s lower than we\u2019d expect. This disparity between the actual and expected global average height may be due to the fact that historically, and still today, a large share of children are stunted. In 1990, around 40% were stunted. It has fallen since then to around 22% in 2017, but with large variations across the world.</p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><a href=\"https://owid.cloud/app/uploads/2019/06/Healthy20height20growth20curves.png\"><img loading=\"lazy\" width=\"633\" height=\"550\" src=\"https://owid.cloud/app/uploads/2019/06/Healthy20height20growth20curves-633x550.png\" alt=\"\" class=\"wp-image-23871\" srcset=\"https://owid.cloud/app/uploads/2019/06/Healthy20height20growth20curves-633x550.png 633w, https://owid.cloud/app/uploads/2019/06/Healthy20height20growth20curves-150x130.png 150w, https://owid.cloud/app/uploads/2019/06/Healthy20height20growth20curves-400x348.png 400w, https://owid.cloud/app/uploads/2019/06/Healthy20height20growth20curves-768x667.png 768w\" sizes=\"(max-width: 633px) 100vw, 633px\" /></a></figure></div>\n\n\n\n<h2>Human height in prehistoric times</h2>\n\n\n\n<h3>Mesolithic times, middle ages, subsistence societies and modern foragers</h3>\n\n\n\n<p>In the last two centuries height has substantially increased in many world regions, but up until modern times the archeological record of human skeletons suggests that there was no trend towards improving living conditions.</p>\n\n\n\n<p>The two tables present estimates of the heights of men in foraging and subsistence societies with those from preindustrial societies. There is no clear difference between these records suggesting that preindustrial societies were just as badly off as their ancestors millennia ago \u2013 which is consistent with the ‘Malthusian Model’ of the pre-growth economy, which we discuss in <a href=\"https://owid.cloud/economic-growth\">our entry on economic growth</a>.</p>\n\n\n\n<h6>Heights of adult males in modern foraging and subsistence societies \u2013 Clark (2008){ref}<br> The Source is Clark (2008) – A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.<br> Notes: *denotes heights adjusted to ages 21\u201340. The heights of all !Kung males averaged 2 centimeters less than those aged 21\u201340.<br><br>The original sources of Clark are:<br><br>Steckel, Richard H., and Joseph M. Prince. 2001. \u201cTallest in the World: Native Amer- icans of the Great Plains in the Nineteenth Century.\u201d American Economic Review 91(1): 287\u2013294.<br><br> b Page 102 in Kelly, Robert L. 1995. The Foraging Spectrum: Diversity in Hunter-Gatherer Lifeways. Washington, D.C.: Smithsonian Institution Press.<br><br> c Page 223 in Jenike, Mark R. 2001. \u201cNutritional Ecology: Diet, Physical Activity, and Body Size.\u201d In Hunter-Gatherers: an Interdisciplinary Perspective, eds. Catherine Panter-Brick, Robert H. Layton, and Peter Rowley-Conwy. Cambridge, U.K.: Cambridge University Press, pp. 205\u2013238.<br><br> d Page 207 in Hawkes, Ernest William. 1916. \u201cSkeletal Measurements and Observations of the Point Barrow Eskimo with Comparisons with Other Eskimo Groups.\u201d American An- thropologist, New Series 18(2): 203\u2013244.<br><br> e Page 327 in Boaz, Franz. 1891. \u201cPhysical Characteristics of the Indians of the North Pacific Coast.\u201d American Anthropologist 2(4): 321\u2013328.<br><br> f Page 69 in Trevor, J. C. 1947. \u201cThe Physical Characteristics of the Sandawe.\u201d Journal of the Royal Anthropological Institute of Great Britain and Ireland 77(1): 61\u201378.<br><br> g Page 751 in Boaz 1899. \u201cAnthropometry of Shoshonean Tribes.\u201d American Anthropologist New Series 1(4): 751\u2013758.<br><br> h Page 267 in Guppy, H. B. 1886. \u201cOn the Physical Characters of the Solomon Islanders.\u201d Journal of the Anthropological Institute of Great Britain and Ireland 15: 266\u2013285.<br><br> i Page 172 in Truswell, A. Stewart, and John D. L. Hansen. 1976. \u201cMedical Research among the !Kung.\u201d In Kalahari Hunter-Gatherers, eds. Richard B. Lee and Irven DeVore. <br>Cambridge, Mass.: Harvard University Press, pp. 166\u2013194.<br><br> j Pages 180\u201382 in Hurtado, A. Magdalena, and Kim R. Hill. 1987. \u201cEarly Dry Season Subsistence Ecol- ogy of Cuiva (Hiwi) Foragers of Venezuela.\u201d Human Ecology 15(2): 163\u2013187.{/ref}</h6>\n\n\n\n<table id=\"tablepress-34\" class=\"tablepress tablepress-id-34\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Period</th><th class=\"column-2\">Group</th><th class=\"column-3\">Location</th><th class=\"column-4\">Ages</th><th class=\"column-5\">Height (centimeters)</th>\n</tr>\n</thead>\n<tbody class=\"row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">1892</td><td class=\"column-2\">Plains Indians (a)</td><td class=\"column-3\">United States</td><td class=\"column-4\">23\u201349</td><td class=\"column-5\">172</td>\n</tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">1970s</td><td class=\"column-2\">Anbarra (b)</td><td class=\"column-3\">Australia</td><td class=\"column-4\">Adults</td><td class=\"column-5\">172*</td>\n</tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">1970s</td><td class=\"column-2\">Rembarranga (c)</td><td class=\"column-3\">Australia</td><td class=\"column-4\">Adults</td><td class=\"column-5\">171*</td>\n</tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">1910</td><td class=\"column-2\">Alaskan Inuit (d)</td><td class=\"column-3\">United States</td><td class=\"column-4\">Adults</td><td class=\"column-5\">170*</td>\n</tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">1890</td><td class=\"column-2\">Northern Pacific Indians (e)</td><td class=\"column-3\">United States</td><td class=\"column-4\">Adults</td><td class=\"column-5\">167*</td>\n</tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">1944</td><td class=\"column-2\">Sandawe (f)</td><td class=\"column-3\">Tanzania</td><td class=\"column-4\">Adults</td><td class=\"column-5\">167*</td>\n</tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">1891</td><td class=\"column-2\">Shoshona (g)</td><td class=\"column-3\">United States</td><td class=\"column-4\">20\u201359</td><td class=\"column-5\">166</td>\n</tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">1970s</td><td class=\"column-2\">Fox Basin Inuit (c)</td><td class=\"column-3\">Canada</td><td class=\"column-4\">Adults</td><td class=\"column-5\">166*</td>\n</tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">1880s</td><td class=\"column-2\">Solomon Islanders (h)</td><td class=\"column-3\">Solomon Is.</td><td class=\"column-4\">Adults</td><td class=\"column-5\">165*</td>\n</tr>\n<tr class=\"row-11\">\n\t<td class=\"column-1\">1906</td><td class=\"column-2\">Canadian Inuitd (d)</td><td class=\"column-3\">Canada</td><td class=\"column-4\">Adults</td><td class=\"column-5\">164*</td>\n</tr>\n<tr class=\"row-12\">\n\t<td class=\"column-1\">1969</td><td class=\"column-2\">!Kung (i)</td><td class=\"column-3\">Bostwana</td><td class=\"column-4\">21\u201340</td><td class=\"column-5\">163</td>\n</tr>\n<tr class=\"row-13\">\n\t<td class=\"column-1\">1980s</td><td class=\"column-2\">Ache (j)</td><td class=\"column-3\">Paraguay</td><td class=\"column-4\">Adults</td><td class=\"column-5\">163*</td>\n</tr>\n<tr class=\"row-14\">\n\t<td class=\"column-1\">1970s</td><td class=\"column-2\">Hadza (c)</td><td class=\"column-3\">Tanzania</td><td class=\"column-4\">Adults</td><td class=\"column-5\">163*</td>\n</tr>\n<tr class=\"row-15\">\n\t<td class=\"column-1\">1985</td><td class=\"column-2\">Hiwi (j)</td><td class=\"column-3\">Venezuela</td><td class=\"column-4\">Adults</td><td class=\"column-5\">156*</td>\n</tr>\n<tr class=\"row-16\">\n\t<td class=\"column-1\">1980s</td><td class=\"column-2\">Batak (c)</td><td class=\"column-3\">Philippines</td><td class=\"column-4\">Adults</td><td class=\"column-5\">155*</td>\n</tr>\n<tr class=\"row-17\">\n\t<td class=\"column-1\">1980s</td><td class=\"column-2\">Agta (c)</td><td class=\"column-3\">Philippines</td><td class=\"column-4\">Adults</td><td class=\"column-5\">155*</td>\n</tr>\n<tr class=\"row-18\">\n\t<td class=\"column-1\">1980s</td><td class=\"column-2\">Aka (c)</td><td class=\"column-3\">Central African Republic</td><td class=\"column-4\">Adults</td><td class=\"column-5\">155*</td>\n</tr>\n</tbody>\n</table>\n\n\n\n\n<h6>Heights from skeletal remains by period, from mesolithic times until now, globally \u2013 Clark (2008){ref}<br> The Source is Clark (2008) – A Farewell to Alms: A Brief Economic History of the World. Princeton University Press.<br> The original sources of Clark are:<br>a Page 133 in Meiklejohn, Christopher, and Marek Zvelebil. 1991. \u201cHealth Status of European Populations at the Agricultural Transition and the Implications for the Adoption of Farming.\u201d In Health in Past Societies: Biocultural Interpretations of Human Skeletal Remains in Archaeological Contexts, eds. Helen Bush and Marek Zvelebil. British Archaeological Reports International Series 567. Oxford: Tempus Reparatum.<br><br> b Pages 51\u201352 in Bennike, Pia. 1985. Paleopathology of Danish Skeletons. Copenhagen: Akademisk Forlag.<br><br> c Steckel 2001. \u201cHealth and Nutrition in the PreIndustrial Era: Insights from a Millen- nium of Average Heights in Northern Europe.\u201d Working Paper 8542. Cambridge, Mass.: National Bureau of Economic Research.<br><br> d Masali, M. 1972. \u201cBone Size and Proportions as Revealed by Bone Measurements and Their Meaning in Environmental Adaptation.\u201d Journal of Human Evolution 1: 187\u2013197.<br><br> e Mellink, Machteld J., and J. Lawrence Angel. 1970. \u201cExcavations at Karatas-Semay U.K. <br>and Elmali, Lycia, 1969.\u201d American Journal of Archaeology 74(3): 245\u2013 259.<br><br> f Angel, J. Lawrence. 1971. The People of Lerna: Analysis of a Prehistoric Aegean Popula- tion. Athens: American School of Classical Studies.<br><br> g Pages 43\u201345 in Houghton, Philip. 1996. People of the Great Ocean: Aspects of the Human Biology of the Early Pacific. Cambridge, U.K.: Cambridge University Press.<br><br> h Boix, Carles, and Frances Rosenbluth. 2004. \u201cBones of Contention: The Political Economy of Height Inequality.\u201d Working Paper, University of Chicago, Department of Political Science. Table 6.<br><br> i Dutta, Pratap C. 1984. \u201cBiological Anthropology of Bronze Age Harappans: New Perspectives.\u201d In The People of South Asia: The Biological Anthropology of India, Pakistan, and Nepal, ed. John R. Lukacs. New York: Plenum Press, pp. 59\u201376.{/ref}</h6>\n\n\n\n<table id=\"tablepress-35\" class=\"tablepress tablepress-id-35\">\n<thead>\n<tr class=\"row-1 odd\">\n\t<th class=\"column-1\">Period</th><th class=\"column-2\">Location</th><th class=\"column-3\">Observations</th><th class=\"column-4\">Height (centimeters)</th>\n</tr>\n</thead>\n<tbody>\n<tr class=\"row-2 even\">\n\t<td class=\"column-1\">Mesolithic (a)</td><td class=\"column-2\">Europe</td><td class=\"column-3\">82</td><td class=\"column-4\">168</td>\n</tr>\n<tr class=\"row-3 odd\">\n\t<td class=\"column-1\">Neolithic (a,b)</td><td class=\"column-2\">Europe</td><td class=\"column-3\">190</td><td class=\"column-4\">167</td>\n</tr>\n<tr class=\"row-4 even\">\n\t<td class=\"column-1\"></td><td class=\"column-2\">Denmark</td><td class=\"column-3\">103</td><td class=\"column-4\">173</td>\n</tr>\n<tr class=\"row-5 odd\">\n\t<td class=\"column-1\">1600\u20131800 ( c)</td><td class=\"column-2\">Holland</td><td class=\"column-3\">143</td><td class=\"column-4\">167</td>\n</tr>\n<tr class=\"row-6 even\">\n\t<td class=\"column-1\">1700\u20131800 ( c)</td><td class=\"column-2\">Norway</td><td class=\"column-3\">1956</td><td class=\"column-4\">165</td>\n</tr>\n<tr class=\"row-7 odd\">\n\t<td class=\"column-1\">1700\u20131850 ( c)</td><td class=\"column-2\">London</td><td class=\"column-3\">211</td><td class=\"column-4\">170</td>\n</tr>\n<tr class=\"row-8 even\">\n\t<td class=\"column-1\">Pre-Dynastic (d)</td><td class=\"column-2\">Egypt</td><td class=\"column-3\">60</td><td class=\"column-4\">165</td>\n</tr>\n<tr class=\"row-9 odd\">\n\t<td class=\"column-1\">Dynastic (d)</td><td class=\"column-2\">Egypt</td><td class=\"column-3\">126</td><td class=\"column-4\">166</td>\n</tr>\n<tr class=\"row-10 even\">\n\t<td class=\"column-1\">2500 BC (e)</td><td class=\"column-2\">Turkey</td><td class=\"column-3\">72</td><td class=\"column-4\">166</td>\n</tr>\n<tr class=\"row-11 odd\">\n\t<td class=\"column-1\">1700 BC (f)</td><td class=\"column-2\">Lerna, Greece</td><td class=\"column-3\">42</td><td class=\"column-4\">166</td>\n</tr>\n<tr class=\"row-12 even\">\n\t<td class=\"column-1\">2000\u20131000 BC (g)</td><td class=\"column-2\">Harappa, India</td><td class=\"column-3\">\u2014</td><td class=\"column-4\">169</td>\n</tr>\n<tr class=\"row-13 odd\">\n\t<td class=\"column-1\">300 BC\u2013AD 250 (h)</td><td class=\"column-2\">Japan (Yayoi)</td><td class=\"column-3\">151</td><td class=\"column-4\">161</td>\n</tr>\n<tr class=\"row-14 even\">\n\t<td class=\"column-1\">1200\u20131600 (h)</td><td class=\"column-2\">Japan (medieval)</td><td class=\"column-3\">20</td><td class=\"column-4\">159</td>\n</tr>\n<tr class=\"row-15 odd\">\n\t<td class=\"column-1\">1603\u20131867 (h)</td><td class=\"column-2\">Japan (Edo)</td><td class=\"column-3\">36</td><td class=\"column-4\">158</td>\n</tr>\n<tr class=\"row-16 even\">\n\t<td class=\"column-1\">1450 (i)</td><td class=\"column-2\">Marianas, Taumako</td><td class=\"column-3\">70</td><td class=\"column-4\">174</td>\n</tr>\n<tr class=\"row-17 odd\">\n\t<td class=\"column-1\">1650 (i)</td><td class=\"column-2\">Easter Island</td><td class=\"column-3\">14</td><td class=\"column-4\">173</td>\n</tr>\n<tr class=\"row-18 even\">\n\t<td class=\"column-1\">1500\u20131750 (i)</td><td class=\"column-2\">New Zealand</td><td class=\"column-3\">124</td><td class=\"column-4\">174</td>\n</tr>\n<tr class=\"row-19 odd\">\n\t<td class=\"column-1\">1400\u20131800 (i)</td><td class=\"column-2\">Hawaii</td><td class=\"column-3\">\u2014</td><td class=\"column-4\">173</td>\n</tr>\n</tbody>\n</table>\n\n\n\n\n<h2>Is the increase in human height coming to an end?</h2>\n\n\n\n<p>Human height for both men and women has <a href=\"https://ourworldindata.org/human-height#a-century-of-human-height-how-has-adult-height-changed-over-time\">increased over the past century</a>: this is true of every country in the world. But, over the last few decades, human height in some countries have been stagnating. This is illustrated in the following charts which show the year-on-year relative change in average male and female heights by region. Positive values here indicate an increase in average height from one year to the next; zero indicates no change; and negative indicates a decline.</p>\n\n\n\n<p>Here we can pull out several key points. Firstly, we see that changes in height across the world are gradual: average heights do not suddenly jump one year to the next, but instead tend to change at rates of less than 1% per year. Secondly, we see that across all regions, average human heights have experienced significant growth over the past century. But the trends also suggest that growth in average male heights have stagnated in Europe and Central Asia, while reversing in the Middle East and North Africa, East Asia and Pacific, and Sub-Saharan Africa. The story is largely the same for women, but with the addition that average female heights in North America have stagnated as well.</p>\n\n\n\n<p>This seems like an unexpected result. Human height is positively <a href=\"https://ourworldindata.org/human-height#what-explains-differences-in-human-height\">correlated with standards of living</a>; living standards have been increasing across the world in recent decades, so why would average human heights be stagnating or even falling? This trend is particularly curious for Sub-Saharan Africa, where average height appears to be falling the most while the <a href=\"https://africaindata.org/#/title-slide\">region has simultaneously achieved progress</a> across many aspects of wellbeing.</p>\n\n\n\n<p>In the next section we explore why this might be the case.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/annual-change-in-average-male-height\"></iframe>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/annual-change-in-average-female-height\"></iframe>\n\n\n\n<h3>Why has growth in human height stagnated in rich countries?</h3>\n\n\n\n<p>Height is partly determined by genetics. Evolution aside, the genes of a population are fixed.{ref}This is based on the assumption that evolution is a very slow process that takes thousands of years to occur; the <a href=\"https://theconversation.com/human-evolution-is-still-happening-possibly-faster-than-ever-105683\">pace</a> of evolution does vary, however.{/ref}</p>\n\n\n\n<p>As such, it is reasonable to assume that there is an upper limit to average heights, at which nutritional and health factors are optimal. This scenario could explain the recent stagnation, especially in high income countries across Europe and Central Asia, where living standards are high.</p>\n\n\n\n<p>A study published in <i>Nature</i> examined the recent stagnation of heights in the Netherlands, the tallest population in the world.{ref}Sch\u00f6nbeck, Y., Talma, H., van Dommelen, P., Bakker, B., Buitendijk, S. E., HiraSing, R. A., & van Buuren, S. (2013). <a href=\"https://www.nature.com/articles/pr2012189#ref12\">The world\u2019s tallest nation has stopped growing taller: the height of Dutch children from 1955 to 2009</a>. <em>Pediatric research</em>, <em>73</em>(3), 371.{/ref}</p>\n\n\n\n<p>They found similar results: that the 150 year increase in average heights in the Netherlands had came to an end in recent decades. They concluded that the reason for this is not entirely clear. They suggest that the Dutch may have reached the maximum mean height possible for the population. But they also hypothesized that recent lifestyle changes \u2013 not a genetic upper bound \u2013 may be hindering further increases in the average heights of men and women. For example, \u201ceasy access to fast food nowadays \u2026 may lead to inadequate nutrient intake, which may result in lower height\u201d. Furthermore, \u201cless energy expenditure due to a sedentary lifestyle leads to an increase in overweight and obesity \u2026 which, in turn, are related to lower height\u201d.{ref}Freedman, D. S., Khan, L. K., Serdula, M. K., Dietz, W. H., Srinivasan, S. R., & Berenson, G. S. (2003). <a href=\"https://bmcpediatr.biomedcentral.com/articles/10.1186/1471-2431-3-3\">The relation of menarcheal age to obesity in childhood and adulthood: the Bogalusa heart study</a>. <em>BMC pediatrics</em>, <em>3</em>(1), 3.{/ref} Additionally, \u201cthe high consumption of milk in the Netherlands, which has been linked to tallness, declined over the past decade from 63 litres per capita per year in 2000 to 60 in 2010\u201d.{ref}Berkey, C. S., Colditz, G. A., Rockett, H. R., Frazier, A. L., & Willett, W. C. (2009). <a href=\"http://cebp.aacrjournals.org/content/18/6/1881.short\">Dairy consumption and female height growth: prospective cohort study</a>. <em>Cancer Epidemiology and Prevention Biomarkers</em>, <em>18</em>(6), 1881-1887.{/ref}</p>\n\n\n\n<p>Therefore, the positive height trend in high-income countries may return if lifestyles improve.</p>\n\n\n\n<p>Other studies have assessed the apparent stagnation, or slowed growth, in other high-income regions. One investigated not only the stagnation of heights in the United States, but also why they have fallen behind many countries across Europe.{ref}Komlos, J., & Lauderdale, B. E. (2007). <a href=\"https://www.tandfonline.com/doi/full/10.1080/03014460601116803?needAccess=true&instName=University+of+Oxford\">The mysterious trend in American heights in the 20th century</a>. <em>Annals of human biology</em>, <em>34</em>(2), 206-215.{/ref}</p>\n\n\n\n<p>In the 19th century, <a href=\"https://ourworldindata.org/human-height#how-does-human-height-vary-across-the-world\">North Americans were the tallest in the world</a>, but fell behind over the course of the 20th century. The study attributes this partly to nutrition, arguing that \u201cthere are reasons to believe that US diets are deficient to some extent as nearly a half of households’ food expenditure is spent on food outside of the home.{ref}Koletzko, B., De la Gu\u00e9ronni\u00e8re, V., Toschke, A. M., & Von Kries, R. (2004). <a href=\"https://www.cambridge.org/core/journals/british-journal-of-nutrition/article/nutrition-in-children-and-adolescents-in-europe-what-is-the-scientific-basis-introduction/2F641C6EC2DF3963A2689D010970331E\">Nutrition in children and adolescents in Europe: what is the scientific basis? Introduction</a>. <em>British Journal of Nutrition</em>, <em>92</em>(S2), S67-S73.{/ref} This is troubling insofar as meals consumed outside of the home are less balanced than those consumed at family dinners.{ref}Bowman, S. A., & Vinyard, B. T. (2004). <a href=\"https://www.tandfonline.com/doi/full/10.1080/07315724.2004.10719357\">Fast food consumption of US adults: impact on energy and nutrient intakes and overweight status</a>. <em>Journal of the american college of nutrition</em>, <em>23</em>(2), 163-168.{/ref} It also highlights \u201cdifferences in the socio-economic and health systems of the West and Northern European welfare states and the more market-oriented economy of the USA\u201d, arguing that \u201csocio-economic inequality in America is much greater than in Western Europe and inequality has a negative effect on mean height.{ref}Steckel, R. H. (1995). <a href=\"https://search.proquest.com/docview/213176477?pq-origsite=gscholar\">Stature and the Standard of Living</a>. <em>Journal of economic literature</em>, <em>33</em>(4), 1903.{/ref} Furthermore, the West European welfare states, in which a subsistence income is more or less guaranteed, provide a more comprehensive social safety net including unemployment insurance and a comprehensive health-insurance coverage.\u201d{ref}Sunder, M. (2003). <a href=\"https://www.sciencedirect.com/science/article/pii/S1570677X03000406\">The making of giants in a welfare state: the Norwegian experience in the 20th century</a>. <em>Economics & Human Biology</em>, <em>1</em>(2), 267-276.{/ref}</p>\n\n\n\n<h3>Why has average human height in Sub-Saharan Africa fallen?</h3>\n\n\n\n<p>In Sub-Saharan Africa, the pattern is even more puzzling. Remarkably, the average male and female heights of the region have been falling since 1970, despite <a href=\"https://africaindata.org/#/title-slide\">improvements in health and nutrition</a>. Some researchers argue that this is due to selection: the least healthy children <span style=\"display: inline !important; float: none; background-color: transparent; color: #333333; cursor: text; font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;\">\u2013 </span>whose growth is stunted due to malnutrition <span style=\"display: inline !important; float: none; background-color: transparent; color: #333333; cursor: text; font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;\">\u2013 </span>do not survive to adulthood, while the survivors are healthier and taller. When child mortality rates decrease, stunted children survive to adulthood, thus lowering the average adult height.{ref}Bozzoli, C., Deaton, A., & Quintana-Domeque, C. (2009). <a href=\"https://link.springer.com/article/10.1353/dem.0.0079\">Adult height and childhood disease</a>. <em>Demography</em>, <em>46</em>(4), 647-669.{/ref}</p>\n\n\n\n<p>This explanation could apply to low income regions, where socioeconomic factors are improving but still relatively weak.</p>\n\n\n\n<h3>Will growth resume in the future?</h3>\n\n\n\n<p>Improvements in environmental factors such as nutrition and health could result in further increases in average heights. However, the factors that influence height have an upper limit: nutrient intake, for example, likely has limits above which benefits stop. As such, it\u2019s possible that heights \u2013 particularly in countries where living standards are still relatively low \u2013 can further increase. But for the richest and tallest countries in the world today, heights may have reached their limit.</p>\n\n\n\n<h2>What explains changes and differences in human height?</h2>\n\n\n\n<p>There are large differences in human height <a href=\"https://ourworldindata.org/human-height#human-height-across-the-world\">across the world</a>. These differences are not just geographical: human heights have changed significantly <a href=\"https://ourworldindata.org/human-height#human-height-over-time\">over our history</a>, with increases in every country over the past century.</p>\n\n\n\n<p>Height is determined by a combination of genetic and environmental factors. How our height might reflect our environment \u2013 today and in the past \u2013 has been a key focus area for research. Height is often seen as a proxy for \u2018biological standards of living\u2019: the World Health Organisation recommends its use \u201cto predict health, performance, and survival\u201d.{ref}World Health Organization. (1995). <a href=\"https://apps.who.int/iris/bitstream/handle/10665/37003/WHO_TRS_854.pdf\">Physical status: The use of and interpretation of anthropometry, Report of a WHO Expert Committee</a>.{/ref}</p>\n\n\n\n<p> A study of male heights across 105 different countries determined that that \u201cheight and the HDI [Human Development Index] seem to be largely interchangeable as indicators of human well-being\u201d.{ref}Grasgruber, P., Sebera, M., Hrazd\u00edra, E., Cacek, J., & Kalina, T. (2016). <a href=\"https://www.sciencedirect.com/science/article/pii/S1570677X16300065\">Major correlates of male height: A study of 105 countries</a>. <em>Economics & Human Biology</em>, <em>21</em>, 172-195.{/ref} This is illustrated in the following scatter plot which shows the relationship between a country\u2019s Human Development Index and average male height by year of birth. Here we see that people are taller in countries with a higher standard of living.</p>\n\n\n\n<p>Why is the relationship between individuals\u2019 heights and a country\u2019s socioeconomic development so strong?</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/human-development-index-vs-mean-male-height\"></iframe>\n\n\n\n<h3>How does nutrition affect health?</h3>\n\n\n\n<p>Nutrition is the one of the strongest determinants of human height.{ref}Perkins, J. M., Subramanian, S. V., Davey Smith, G., & \u00d6zaltin, E. (2016). <a href=\"https://academic.oup.com/nutritionreviews/article/74/3/149/1826348\">Adult height, nutrition, and population health</a>. <em>Nutrition reviews</em>, <em>74</em>(3), 149-165.{/ref}</p>\n\n\n\n<p>Humans convert the chemical energy stored in the macronutrient constituents of food into energy. Dietary energy intake from food must balance energy expenditure due to metabolic functions and physical activity, plus extra energy costs such as growth during childhood.{ref}Joint, F. A. O. (2004). <a href=\"http://www.fao.org/3/y5686e/y5686e04.htm#bm04\">Human energy requirements</a>. Report of a Joint FAO/WHO/UNU Expert Consultation, Rome, 17-24 October 2001.{/ref}</p>\n\n\n\n<p>Humans can adapt to an enduring low dietary energy intake, or undernourishment, by reducing the rate of growth, which leads to <a href=\"https://ourworldindata.org/hunger-and-undernourishment#too-little-height-for-age-stunting\">stunting</a>, and restricts adult height. Insufficient dietary energy intakes across a population therefore result in a <a href=\"https://www-jstor-org.ezproxy.cul.columbia.edu/stable/pdf/44125943.pdf?ab_segments=0%252Fdefault-2%252Fcontrol\">low</a> average adult height.{ref}Martorell, R. (1989). <a href=\"https://www.jstor.org/stable/44125943\">Body size, adaptation and function</a>. <em>Human Organization</em>, 15-20.{/ref}</p>\n\n\n\n<p>Protein is an essential macronutrient in a healthy diet, and is necessary for a wide range of biological processes, including growth. It is made up of basic building blocks called amino acids. Some amino acids – known as the nutritionally essential amino acids – cannot be made in the body, and so must come from the diet. Diets must provide adequate quantities of the full range of amino acids for human growth and metabolism. The capacity of different protein sources to satisfy these demands, based on their amino acid profile and digestibility, is defined as \u2018protein quality\u2019.{ref}Joint, W. H. O. (2007). <a href=\"https://www.who.int/nutrition/publications/nutrientrequirements/WHO_TRS_935/en/\">Protein and amino acid requirements in human nutrition</a>. <em>World Health Organization technical report series</em>, (935), 1.{/ref}</p>\n\n\n\n<p>The table shows the protein quality of different foods. Animal source food usually contains higher quality protein than plant source food. They are also a good source of micronutrients, such as iron and zinc, which are necessary for metabolism.{ref}Neumann, C., Harris, D. M., & Rogers, L. M. (2002). <a href=\"https://www.sciencedirect.com/science/article/pii/S0271531701003748\">Contribution of animal source foods in improving diet quality and function in children in the developing world</a>. <em>Nutrition research</em>, <em>22</em>(1-2), 193-220.{/ref} A diet that includes a large proportion of animal source food is therefore likely to provide sufficient amounts of micronutrients and essential amino acids.</p>\n\n\n\n<h6>Protein quality of common foods{ref}Hoffman, J. R., & Falvo, M. J. (2004). Protein\u2013which is best?. Journal of sports science & medicine, 3(3), 118.{/ref} {ref}Nosworthy, M. G., Neufeld, J., Frohlich, P., Young, G., Malcolmson, L., & House, J. D. (2017). Determination of the protein quality of cooked Canadian pulses. Food science & nutrition, 5(4), 896-903.{/ref} {ref}Phillips, S. M. (2016). The impact of protein quality on the promotion of resistance exercise-induced changes in muscle mass. Nutrition & metabolism, 13(1), 64.{/ref} {ref}Schaafsma, G. (2000). The protein digestibility\u2013corrected amino acid score. The Journal of nutrition, 130(7), 1865S-1867S.{/ref}</h6>\n\n\n\n<table id=\"tablepress-112\" class=\"tablepress tablepress-id-112\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Protein Source</th><th class=\"column-2\">PDCAAS Value</th>\n</tr>\n</thead>\n<tbody>\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Egg</td><td class=\"column-2\">1</td>\n</tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Milk</td><td class=\"column-2\">1</td>\n</tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Beef</td><td class=\"column-2\">0.92</td>\n</tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Pea</td><td class=\"column-2\">0.64</td>\n</tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Lentil</td><td class=\"column-2\">0.63</td>\n</tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Black bean</td><td class=\"column-2\">0.53</td>\n</tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">Peanut</td><td class=\"column-2\">0.52</td>\n</tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">Chickpea</td><td class=\"column-2\">0.52</td>\n</tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">Rice</td><td class=\"column-2\">0.42</td>\n</tr>\n<tr class=\"row-11\">\n\t<td class=\"column-1\">Wheat</td><td class=\"column-2\">0.42</td>\n</tr>\n</tbody>\n</table>\n\n\n\n\n<p>A study by Headey (2018) of dietary patterns in lower-income countries suggests there is a strong association between the consumption of animal sourced foods and height.{ref}Headey, D., Hirvonen, K., & Hoddinott, J. (2018). <a href=\"https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Headey%2C+D.%2C+Hirvonen%2C+K.%2C+%26+Hoddinott%2C+J.+%282018%29.+Animal+sourced+foods+and+child+stunting.+American+Journal+of+Agricultural+Economics%2C+100%285%29%2C+1302-1319.&btnG=\">Animal sourced foods and child stunting</a>. <em>American Journal of Agricultural Economics</em>, <em>100</em>(5), 1302-1319.{/ref}</p>\n\n\n\n<p>For instance, animal proteins comprise 9.5% of energy intake in Madagascar, where the average male height is 161.5 cm; Botswanans get 12.5% of their calories from animal proteins, and the men are 10 cm taller on average. But even larger height disparities begin to arise at high levels of animal protein intake.</p>\n\n\n\n<p>In high-income countries, where animal protein intake is high, Grasgruber (2014) found that the strongest predictor of male height is the ratio of high-quality animal proteins – from milk products, red meat, and fish – to low-quality plant proteins – from wheat, rice and other cereals.{ref}Grasgruber, P., Cacek, J., Kalina, T., & Sebera, M. (2014). <a href=\"https://www.sciencedirect.com/science/article/pii/S1570677X14000665\">The role of nutrition and genetics as key determinants of the positive height trend</a>. <em>Economics & Human Biology</em>, <em>15</em>, 81-100.{/ref} This could explain why some countries with very high socioeconomic status have shorter heights than we\u2019d expect. Consider the difference between South Korea and the Netherlands: both have a very high HDI \u2013 over 0.9 \u2013 but the Dutch are nearly 8 centimeters taller (182.5 cm versus 175 cm). What separates them is their intake of animal protein: the Netherlands\u2019 animal:plant protein ratio is 2.16 versus only 0.69 in South Korea.</p>\n\n\n\n<p>Appropriate mixtures of plant source proteins – such as cereals plus legumes or oil seeds – are capable of providing the essential amino acids and micronutrients necessary for growth. However, <a href=\"https://ourworldindata.org/diet-compositions\">diets </a>in low-income countries are often dependent on a single staple food source. In Bangladesh, for example, over 75% of dietary energy comes from cereals and grains, 90% of which is rice. By contrast, cereals and grains constitute less than a quarter of dietary energy in the United States. As such, low-income countries are unlikely to exhibit enough dietary diversity.</p>\n\n\n\n<p>Animal proteins form an <a href=\"https://ourworldindata.org/diet-compositions#animal-based-foods-form-a-larger-part-of-our-diet-as-we-get-richer\">increasingly</a> large part of our diets as income increases. Since nutrition plays a key role in determining height, there is an obvious relationship between income and height.{ref}Komlos, J. (1985). <a href=\"https://www.jstor.org/stable/pdf/1859662.pdf?refreqid=excelsior%3A6fea18b025235454469011ec3585e3e9\">Stature and Nutrition in the Habsburg Monarchy: The Standard of Living and Economic Development in the Eighteenth Century</a>. <em>The American Historical Review,</em> <em>90</em>(5), 1149-1161. doi:10.2307/1859662{/ref}</p>\n\n\n\n<p> A high level of socioeconomic development therefore predicts taller average heights.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/share-of-calories-from-animal-protein-vs-mean-male-height\"></iframe>\n\n\n\n<h3>How does health affect height?</h3>\n\n\n\n<p>Health \u2013 particularly in childhood \u2013 also influences human height. Disease during childhood can restrict growth because it reduces the availability of nutrients and raises metabolic requirements.{ref}Stephensen, C. B. (1999). <a href=\"https://academic.oup.com/jn/article/129/2/534S/4731689\">Burden of infection on growth failure</a>. <em>The Journal of nutrition</em>, <em>129</em>(2), 534S-538S.{/ref}</p>\n\n\n\n<p>Children fighting disease have higher nutritional requirements during a period when nutrients are less available. As such, high incidences of disease should lead to shorter average heights.</p>\n\n\n\n<p>Grasgruber (2016) found that the socioeconomic factor most strongly correlated with male height is child mortality.{ref}Grasgruber, P., Sebera, M., Hrazd\u00edra, E., Cacek, J., & Kalina, T. (2016). <a href=\"https://www.sciencedirect.com/science/article/pii/S1570677X16300065\">Major correlates of male height: A study of 105 countries</a>. <em>Economics & Human Biology</em>, <em>21</em>, 172-195.{/ref}</p>\n\n\n\n<p>This relationship is illustrated in the scatter plot, with child mortality rate on the y-axis and mean male height on the x-axis. A low child mortality rate suggests low incidences of disease, as well as sufficient nourishment, and hence predicts a taller average height. For example, 0.2% of children in Finland die before they are 5 years old compared to 7.4% of children in Afghanistan; the average male heights in Finland is significantly taller at 180 cm versus 165 cm.</p>\n\n\n\n<p>The relationship between health and height is reinforced by the significant impact of healthcare expenditure. We see this reflected in Arab states where health expenditure is much lower than their income level would predict. For example, compare Oman and the Netherlands: the average male height of the Dutch is 182cm \u2013 13 centimeters taller than the average in Oman. Both countries have high levels of <a href=\"https://ourworldindata.org/grapher/gdp-per-capita-maddison-2020?tab=chart&time=1950..latest&country=NLD+OMN\">income per capita</a>. But the Netherlands spends much more on <a href=\"https://ourworldindata.org/grapher/total-healthcare-expenditure-gdp?tab=chart&country=NLD~OMN\">healthcare</a>: healthcare expenditure in Oman is 4.0% of gross domestic product (GDP) versus 10.1% of GDP in the Netherlands.</p>\n\n\n\n<p>Both child mortality and healthcare expenditure impact life expectancy: we would therefore expect them to be strong determinants of the relationship between standard of living and average height.</p>\n\n\n\n<p>Total <a href=\"https://ourworldindata.org/fertility-rate\">fertility rate</a> (the number of children per woman) also interacts with these determinants, making it the second strongest socioeconomic correlate of height. The role of fertility in high-income countries is marginal since fertility rates are already very low. But it gains statistical significance at lower incomes, where fertility rates are relatively high. In families where there are a large number of children, expenditure and food availability for each child is often lower. We might therefore expect that in countries where the fertility rate is high, health expenditure and nutritional quality per child is low, while incidence of disease is high.</p>\n\n\n\n<iframe style=\"width: 100%; height: 600px; border: 0px none;\" src=\"https://ourworldindata.org/grapher/child-mortality-rate-vs-mean-male-height-cm\"></iframe>\n\n\n\n<h3>The effects of immigration on height</h3>\n\n\n\n<p>In a pioneering study of Japanese immigrants to Hawaii published in 1939, Harry Shapiro found there to be a significant difference between the heights of Hawaiian-born Japanese and the Japanese immigrant population.{ref} Shapiro H (1939) Migration and Environment: a study of the physical characteristics of the Japanese immigrants to Hawaii and the effects of environment on their descendants. Oxford University Press {/ref} Shapiro concluded that environmental factors, particularly diet and healthcare, play a significant role in determining height and other physical characteristics. The underlying idea here is that migration from poor countries to rich ones may lead to dramatic changes between generations. In a similar study, Marcus Goldstein (1943) found there to be differences in the heights and other characteristics of the children of Mexican immigrants and their parents, as well as with native born Mexican children.{ref}Goldstein MS (1943) Demographic and Bodily Changes in Descendants of Mexican Immigrants. Austin, TX: University of Texas Institute of Latin American Studies{/ref}</p>\n\n\n\n<h2>Distribution of adult heights</h2>\n\n\n\n<p>We have looked in detail at <a href=\"https://ourworldindata.org/human-height#how-does-human-height-vary-across-the-world\">how <i>mean</i> heights vary</a> across the world. But this tells us very little about the distribution of heights globally, regionally or within in a given country. How do heights vary: do most people have heights very similar to the average; or do they span a wide range?</p>\n\n\n\n<h3>Height is normally distributed</h3>\n\n\n\n<p>Adult heights within a population are approximately normally distributed due to genetic and environmental variance.{ref}Komlos, J., & Kim, J. H. (1990). <a href=\"https://www.tandfonline.com/doi/abs/10.1080/01615440.1990.10594202?journalCode=vhim20\">Estimating trends in historical heights</a>. <em>Historical Methods: A Journal of Quantitative and Interdisciplinary History</em>, <em>23</em>(3), 116-120.{/ref}</p>\n\n\n\n<p>Height is partly determined by the interaction of 423 genes with 697 variants.{ref}Wood, A. R., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., \u2026 & Amin, N. (2014). <a href=\"https://www.nature.com/articles/ng.3097.pdf\">Defining the role of common variation in the genomic and biological architecture of adult human height</a>. <em>Nature genetics</em>, <em>46</em>(11), 1173.{/ref}</p>\n\n\n\n<p>One of the basic rules of probability (known as the Central Limit Theorem) says the distribution of a trait that is determined by independent random variables, like height and genes, roughly follows a bell curve. This means the range of human heights in a population fall centrally around the mean height. In statistical terms, it\u2019s also the case that the mean and median height are the same \u2013 they fall right in the middle of the distribution.{ref}Although the terms mean and median are often used interchangeably with \u2018average\u2019, their values can be very different. To calculate the <em>mean</em> of a range of values, we sum them all and divide by the number of values. To calculate the <em>median</em> we find the value which falls exactly in the middle of the range of values. In a normal distribution, the mean and median are the same. But for other distributions, they can be very different.{/ref}</p>\n\n\n\n<p>The normal distribution of heights allows us to make inferences about the range. Around 68% of heights will fall within one standard deviation of the mean height; 95% within two standard deviations; and 99.7% within three. If we know the mean and standard deviation of heights, we have a good understanding of how heights vary across a population.</p>\n\n\n\n<p>Drawing upon height data from almost 150,000 twinned pairs born between 1886 and 1994, one study investigated the variance in heights across populations through time, and tried to explain how much could be explained by genetics versus environmental differences.{ref}Jelenkovic, A., Hur, Y. M., Sund, R., Yokoyama, Y., Siribaddana, S. H., Hotopf, M., \u2026 & Pang, Z. (2016). <a href=\"https://elifesciences.org/articles/20320#s4\">Genetic and environmental influences on adult human height across birth cohorts from 1886 to 1994</a>. <em>Elife</em>, <em>5</em>, e20320.{/ref}</p>\n\n\n\n<p>We see this distribution of heights in the chart. As an aggregate of the regions with available data \u2013 Europe, North America, Australia, and East Asia \u2013 they found the mean male height to be 178.4 centimeters (cm) in the most recent cohort (born between 1980 and 1994).{ref}This means this cohort reached the age of 18 (adulthood) between 1998 and 2012).{/ref} The standard deviation was 7.59 cm. This means 68% of men were between 170.8 and 186 cm tall; 95% were between 163.2 and 193.6 cm. Women were smaller on average, with a mean height of 164.7 cm, and standard deviation of 7.07 cm. This means 68% of women were between 157.6 and 171.8 cm; and 95% between 150.6 and 178.84 cm.</p>\n\n\n\n<p>Regionally, the standard deviation of male heights is largest in North America and Australia, at 7.49 cm, and smallest in East Asia, at 6.37 cm. The pattern is the same for women, with 6.96 cm in North America and Australia, and 5.74 cm in East Asia. Some of the distribution of heights within a population is likely to reflect the degree of genetic variance.{ref}Hur, Y. M., Kaprio, J., Iacono, W. G., Boomsma, D. I., McGue, M., Silventoinen, K., \u2026 & He, M. (2008). <a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2577073/\">Genetic influences on the difference in variability of height, weight and body mass index between Caucasian and East Asian adolescent twins</a>. <em>International Journal of Obesity</em>, <em>32</em>(10), 1455.{/ref}</p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><a href=\"https://owid.cloud/app/uploads/2019/06/distribution-1.png\"><img loading=\"lazy\" width=\"775\" height=\"550\" src=\"https://owid.cloud/app/uploads/2019/06/distribution-1-775x550.png\" alt=\"\" class=\"wp-image-23884\" srcset=\"https://owid.cloud/app/uploads/2019/06/distribution-1-775x550.png 775w, https://owid.cloud/app/uploads/2019/06/distribution-1-150x106.png 150w, https://owid.cloud/app/uploads/2019/06/distribution-1-400x284.png 400w, https://owid.cloud/app/uploads/2019/06/distribution-1-768x545.png 768w\" sizes=\"(max-width: 775px) 100vw, 775px\" /></a></figure></div>\n\n\n\n<h3>How does environment and living standards affect the distribution of heights?</h3>\n\n\n\n<p>Differences in height within a population are not only influenced by genetic variance. Greater environmental variance within a population is also reflected by a wider distribution of heights. The distribution of heights has therefore be used as one indicator of socioeconomic inequality in the past.{ref}Van Zanden, J. L., Baten, J., Foldvari, P., & Van Leeuwen, B. (2014). <a href=\"https://onlinelibrary.wiley.com/doi/abs/10.1111/roiw.12014\">The changing shape of global inequality 1820\u20132000; exploring a new dataset</a>. <em>Review of income and wealth</em>, <em>60</em>(2), 279-297.{/ref}</p>\n\n\n\n<p>In a population with perfectly equal access to nutrition and health resources, height distribution would only reflect genetic variation. Unequal access to these resources within a population means that wealthier individuals could have better health and nutrition, and therefore tend to grow taller than poorer ones; variance of heights therefore becomes larger. In other words, resource-based variance due to income inequality is added to genetic variance, widening the distribution of heights. Some empirical evidence across a range of contexts would support this hypothesis.</p>\n\n\n\n<p>For example, in India in the twentieth-century, an individual\u2019s caste had a significant influence on their height. Members of the high castes \u2013 who had better access to nutrition and health resources \u2013 were 4.5 cm taller on average than members of the low castes.{ref}Guntupalli, A. M., & Baten, J. (2006). <a href=\"https://www.sciencedirect.com/science/article/pii/S0014498305000446\">The development and inequality of heights in North, West, and East India 1915\u20131944</a>. <em>Explorations in Economic History</em>, <em>43</em>(4), 578-608.{/ref}</p>\n\n\n\n<p>Genetic differences between caste groups are unlikely to account for this height difference, due to the population\u2019s common genetic heritage.{ref}Moorjani, P., Thangaraj, K., Patterson, N., Lipson, M., Loh, P. R., Govindaraj, P., \u2026 & Singh, L. (2013). <a href=\"https://www.cell.com/ajhg/fulltext/S0002-9297(13)00324-8#secsectitle0095\">Genetic evidence for recent population mixture in India</a>. <em>The American Journal of Human Genetics</em>, <em>93</em>(3), 422-438.{/ref}</p>\n\n\n\n<p>Furthermore, Ayuda (2014) identified a relationship between socioeconomic status and height among Spanish conscripts from 1850 to 1958. They found that \u201cliterate conscripts were always taller than illiterate ones (by nearly 1 cm), and agricultural workers, with fewer economic resources, were significantly shorter (by 3.6 cm) than highly qualified non-manual workers\u201d.{ref}Ayuda, M. I., & Puche-Gil, J. (2014). <a href=\"https://www.sciencedirect.com/science/article/pii/S1570677X14000677\">Determinants of height and biological inequality in Mediterranean Spain, 1859\u20131967</a>. <em>Economics & Human Biology</em>, <em>15</em>, 101-119.{/ref}</p>\n\n\n\n<p>Height inequality, which is measured by the coefficient of variation (CV), is therefore positively correlated with income inequality, which is measured by the Gini coefficient.</p>\n\n\n\n<p>This relationship was observed in a study of Kenya during the 20th century, where the CV mirrored fluctuations in the Gini coefficient. It also compared the height distributions of Uganda and Togo, where average heights were roughly equal, but there was higher income inequality in the former than the latter. Sure enough, the distribution of heights was wider in Uganda.{ref}Moradi, A., & Baten, J. (2005). <a href=\"https://www.sciencedirect.com/science/article/pii/S0305750X05000756\">Inequality in Sub-Saharan Africa: new data and new insights from anthropometric estimates</a>. <em>World development</em>, <em>33</em>(8), 1233-1265.{/ref}</p>\n\n\n\n<h3>Genetics or environment: which contributes most to height variations in a country?</h3>\n\n\n\n<p>So, both genetic and environmental factors have an impact on height variation. But which is the most important determinant? The relative contribution of genetic factors to differences in heights within populations is defined as \u2018heritability\u2019. Heritability is measured between 0 and 1; the higher the heritability, the larger the contribution of genetics. Twin and adoption studies typically estimate heritability at about 0.8.{ref}Yang, J., Benyamin, B., McEvoy, B. P., Gordon, S., Henders, A. K., Nyholt, D. R., \u2026 & Goddard, M. E. (2010). <a href=\"https://www.nature.com/articles/ng.608\">Common SNPs explain a large proportion of the heritability for human height</a>. <em>Nature genetics</em>, <em>42</em>(7), 565.{/ref}</p>\n\n\n\n<p>This means that the majority of the variation in height within a population is due to genetic variation, but environmental variation due to socioeconomic factors also has an impact.</p>\n\n\n\n<h2>Data Quality</h2>\n\n\n\n<p>Accurately measuring the height of an individual is a straightforward task and so we should be confident that there is relatively little measurement error in the recorded data. This is unlikely to be the case when measuring the height of skeletons. What is more, the techniques used to date skeletal remains (such as radio carbon dating) only provide a probabilistic estimate.</p>\n\n\n\n<p>Another factor to consider is the potential sample bias from the historical sources. Since the height data is largely composed of soldiers, criminals, salves and servants, these groups may not be representative of the wider population. This problem has been highlighted by academics researching human height.{ref}Howard Bodenhorn, Timothy W. Guinnane, and Thomas Mroz. Biased samples yield biased results: What historical heights can teach us about past living standards. Vox CEPR Policy Portal (2015). Available online <a rel=\"noreferrer noopener\" href=\"http://www.voxeu.org/article/what-historical-heights-can-teach-us-about-past-living-standards\" target=\"_blank\">here</a>.{/ref}</p>\n\n\n\n<p>In fact, the observed drop in height during the industrial revolution — usually attributed to the negative health impacts of industrialisation — can be explained by the labour market conditions that existed at the time. They argue that “as economies grew, tight labour markets discouraged military enlistments by the most productive workers, with those enlisting (and being measured) increasingly over-representing the less advantaged members of society.”</p>\n\n\n\n<p>By comparing the heights of soldiers in the US army with countries that enforced conscription we can see the bias more clearly. In countries that had conscription, the average height of conscripts was increasing over the period, meanwhile in the US where entry was voluntary, the heights of soldiers was falling</p>\n\n\n\n<h6>Mean heights of volunteer soldiers in the US and in selected countries with conscription – Vox{ref}<br>\nHoward Bodenhorn, Timothy W. Guinnane, and Thomas Mroz. Biased samples yield biased results: What historical heights can teach us about past living standards. Vox CEPR Policy Portal (2015). Available online <a href=\"http://www.voxeu.org/article/what-historical-heights-can-teach-us-about-past-living-standards\" target=\"_blank\" rel=\"noreferrer noopener\">here</a>.{/ref}</h6>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img loading=\"lazy\" width=\"500\" height=\"401\" src=\"http://ourworldindata.org/app/uploads/2013/10/ourworldindata_mean-heights-of-volunteer-soldiers-in-the-us-and-in-selected-countries-with-conscription-vox.png\" alt=\"Mean heights of volunteer soldiers in the US and in selected countries with conscription - Vox\" class=\"wp-image-6443\" srcset=\"https://owid.cloud/app/uploads/2013/10/ourworldindata_mean-heights-of-volunteer-soldiers-in-the-us-and-in-selected-countries-with-conscription-vox.png 500w, https://owid.cloud/app/uploads/2013/10/ourworldindata_mean-heights-of-volunteer-soldiers-in-the-us-and-in-selected-countries-with-conscription-vox-150x120.png 150w, https://owid.cloud/app/uploads/2013/10/ourworldindata_mean-heights-of-volunteer-soldiers-in-the-us-and-in-selected-countries-with-conscription-vox-400x321.png 400w\" sizes=\"(max-width: 500px) 100vw, 500px\" /></figure></div>\n\n\n\n<h2>Data Sources</h2>\n\n\n\n<h4>NCD Risk Factor Collaboration (NCD-RisC)</h4>\n\n\n\n<ul><li><strong>Data:</strong> Male and female heights</li><li><strong>Geographical coverage:</strong> Global</li><li><strong>Time span:</strong> Adults heights for individuals born from 1896 to 1996.</li><li><strong>Available at:</strong> Online at NCD-RisC <a href=\"http://www.ncdrisc.org/index.html\">here</a>.</li></ul>\n\n\n\n<h4>T\u00fcbingen Height Data Hub</h4>\n\n\n\n<ul><li><strong>Data:</strong> Many different datasets on human height</li><li><strong>Geographical coverage:</strong> Global</li><li><strong>Time span:</strong> Some of the data goes as far back as the 17th century.</li><li><strong>Available at:</strong> It is online at the University of T\u00fcbingen <a href=\"https://uni-tuebingen.de/fakultaeten/wirtschafts-und-sozialwissenschaftliche-fakultaet/faecher/fachbereich-wirtschaftswissenschaft/wirtschaftswissenschaft/lehrstuehle/volkswirtschaftslehre/wirtschaftsgeschichte/forschung/data-hub-height.html\">here</a>.</li><li class=\"no-bullet\"><em>The authors of this data are J\u00f6rg Baten, John Komlos, John Murray et al.</em></li></ul>\n\n\n\n<h4>Clio Infra project</h4>\n\n\n\n<ul><li><strong>Data:</strong> Heights by birth decade and country (male height equivalent in cm)</li><li><strong>Geographical coverage:</strong> 165 countries</li><li><strong>Time span:</strong> 1810-1989</li><li><strong>Available at:</strong> Online at Clio Infra <a href=\"http://www.clio-infra.eu/\">here</a></li><li class=\"no-bullet\"><em>The authors are J\u00f6rg Baten (University of Tuebingen) and Mathias Blum (Technical University Munich).<br></em></li></ul>\n", "protected": false }, "excerpt": { "rendered": "The average height of a population can inform us about the nutrition and living conditions of populations in the past for which we have little other data.", "protected": false }, "date_gmt": "2013-10-08T20:56:45", "modified": "2023-04-06T17:45:24", "template": "", "categories": [ 44, 47, 182 ], "menu_order": 198, "ping_status": "closed", "authors_name": [ "Max Roser", "Cameron Appel", "Hannah Ritchie" ], "modified_gmt": "2023-04-06T16:45:24", "comment_status": "open", "featured_media": 23491, "featured_media_paths": { "thumbnail": "/app/uploads/2019/05/average-height-by-year-of-birth-150x106.png", "medium_large": "/app/uploads/2019/05/average-height-by-year-of-birth-768x542.png" } } |