This dataset was created by Dilara Özcerit
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Dataset representing average male height data by country.
This statistic represents the average height of men in the top 20 countries worldwide as of 2016. On average, men are ***** centimeters tall in Bosnia & Herzegovina.
This statistic represents the average height of men and women in selected countries worldwide as of 2008. On average, men are 178.4 centimeters and women are 163.9 centimeters tall in Australia.
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Dutch, French, Italian (1818-1940): http://www.nber.org/chapters/c7435.pdf Dutch (1955-2009): http://www.nature.com/pr/journal/v73/n3/pdf/pr2012189a.pdf Swedish (1841-1952): http://pediatrisk-endokrinologi.no/2008/1/Werner_2008_1.pdf Danish and Germans (1856-1980): http://privatewww.essex.ac.uk/~hatton/Tim_height_paper.pdf Americans (1710-1980): http://www.cambridge.org/us/academic/subjects/history/economic-history/changing-body-health-nutrition-and-human-development-western-world-1700 All 2013 heights: http://www.averageheight.co/average-male-height-by-country Means and medians are not too different (rarely more than 1 cm difference) because within-country heights for specific gender are generally normally distributed.
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Analysis of ‘Height of Male and Female by Country 2022’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/majyhain/height-of-male-and-female-by-country-2022 on 13 February 2022.
--- Dataset description provided by original source is as follows ---
The metric system is used in most nations to measure height.Despite the fact that the metric system is the most widely used measurement method, we will offer average heights in both metric and imperial units for each country.To be clear, the imperial system utilises feet and inches to measure height, whereas the metric system uses metres and centimetres.Although switching between these measurement units is not difficult, countries tend to choose one over the other in order to maintain uniformity.
The dataset contains six columns: • Rank • Country Name • Male height in Cm • Female height in Cm • Male height in Ft • Female height in Ft
Users are allowed to use, copy, distribute and cite the dataset as follows: “Majyhain, Average Height of Male and Female by Country 2022, Kaggle Dataset, February 02, 2022.”
The ideas for this data is to: Average Height of Men in Countries? Average Height of Women in Countries? Height of Male and Female in Feet?
Which country have the tallest male and female?
Which countries have the smallest male and female average height?
The Data is collected from the following sites:
--- Original source retains full ownership of the source dataset ---
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This is a data set from the publication
Hatton, T. J., & Bray, B. E. (2010). Long run trends in the heights of European men, 19th–20th centuries. Economics & Human Biology, 8(3), 405–413. http://doi.org/10.1016/j.ehb.2010.03.001The data set represents average height of the men from several European countries born in the cohorts 1856-1980, 5-years averages.
In the shown time-period the mean height of men and women has generally increased in England. According to the survey, the average height of males rose slightly during the period in consideration, from 174.4 centimeters in 1998 to 176.2 centimeters (approximately 5'9") in 2022. In comparison, the mean height of women was 162.3 centimeters (5'4") in 2022, up from 161 in 1998. Reasons for height increasing While a large part of an adult’s final height is based on genetics, the environment in which a person grows up is also important. Improvements in nutrition, healthcare, and hygiene have seen the average heights increase over the last century, particularly in developed countries. Average height is usually seen as a barometer for the overall health of the population of a country, as the most developed are usually among the ‘tallest’ countries. Average waist circumference also increasing The prevalence of obesity among adults in England has generally been trending upward since 2000. In that year, 21 percent of men and women in England were classified as obese. By 2021, however, this share was 26 percent among women and 25 percent among men. Every adult age group in England had an average BMI which was classified as overweight, apart from those aged 16 to 24, indicating there is a problem with overweightness in England.
In 2022, the average height of South Korean men in their thirties lay at ****** centimeters. Men in older age groups tended to be shorter. On average, South Korean men were ****** centimeters tall that year. Diet and healthcare in South Korea It has been observed that improvements in nutrition and healthcare lead to increased average height over time. With the rapid industrialization in South Korea came improvements in healthcare and nutritional intake. South Korea ranks among the leading countries in the health index, which measures a population’s health and a country’s healthcare system. Even with an excellent healthcare system, South Koreans have increasingly been concerned about their diet and nutrition, exemplified by the share of people trying to consume certain nutrients every day. Height preferences in South Korea According to a 2019 survey, for most respondents the preferred height for South Korean men was higher than the current average. This discrepancy was similar for the preferred height for women, showing how preferences for taller people stretched across genders. Not only are South Koreans preferring taller partners, but they are also getting taller over time. Another survey found that the ideal height for a spouse in the country came closer to the average height of younger generations.
In 2020, the average height of males aged between 18 and 44 years in China figured at 169.7 centimeters, up 1.2 centimeters compared to that in 2015. On the other side, obesity and overweight conditions have seen a gradual increase across the country mainly related to an unhealthy diet and a less active urban lifestyle.
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Togo TG: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 1.800 % in 2014. This records a decrease from the previous number of 1.900 % for 2010. Togo TG: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 3.100 % from Dec 1988 (Median) to 2014, with 5 observations. The data reached an all-time high of 4.200 % in 2006 and a record low of 1.800 % in 2014. Togo TG: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Togo – Table TG.World Bank: Health Statistics. Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues
In 2023, South Korean high school students were among the tallest in Asia, with male students aged 16 years old averaging ***** cm and female students averaging ***** cm. Both South Korean men and women have seen drastic increases in height over the past century, and in the case of women, the change in average height is the largest increase for any population in the world. Height is linked to health The average height of a population can be a good indicator for the overall health of that country; aside from genetic factors, nutrition and childhood infections play an important role in how a child will develop in terms of growth. South Koreans can expect to live longer these days; the average life expectancy at birth has steadily increased and was at **** years as of 2022. Women are expected to live slightly longer than men by around five years. The average weight of South Korean high school students has also generally increased over the years, which may suggest nutrition has improved. However, as with many other OECD countries, the obesity rate has also increased among the population.
These are the results obtained by conducting the experiment "Average Height of 19-year-old Males and Females and GDP per Capita in 2019 for 164 Countries". The CSV file contains the raw data produced by processing, filtering and merging the input datasets. There are two rows for each of the 164 countries. In both rows, the country name, country code and GDP per capita are given. However, one row contains the average height of 19-year-old males (indicated by the value 'Boys' in the 'Sex' column) whereas the other displays the average height of 19-year-old females (indicated by the value 'Girls'). Furthermore, there are two PNG files which display the regression plots for the average height of 19-year-old males and females, respectively. Note that the x-scale (for the GDP per capita) is logarithmic. {"references": ["The World Bank, GDP per capita (current US$), Washington, DC: The World Bank, 2021. Accessed on: Apr. 13, 2021. [Online] Available: https://data.worldbank.org/indicator/NY.GDP.PCAP.CD.", "NCD Risk Factor Collaboration, Height - Evolution of adult height over time, NCD Risk Factor Collaboration, 2021. Accessed on: Apr. 18, 2021. [Online] Available: https://ncdrisc.org/data-downloads-height.html under "Country-specific data for all countries"."]}
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Philippines PH: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 31.500 % in 2013. This records a decrease from the previous number of 34.900 % for 2011. Philippines PH: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 34.200 % from Dec 2003 (Median) to 2013, with 4 observations. The data reached an all-time high of 35.500 % in 2003 and a record low of 31.500 % in 2013. Philippines PH: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
As per the results of a large scale survey in 2019, the average height of Indian respondents was five feet and *** inches. Among the surveyed Indian cities, Chennai had the tallest people, whereas Hyderabad had the shortest people in the country.
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Moldova MD: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 5.800 % in 2012. This records a decrease from the previous number of 11.000 % for 2005. Moldova MD: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 8.400 % from Dec 2005 (Median) to 2012, with 2 observations. The data reached an all-time high of 11.000 % in 2005 and a record low of 5.800 % in 2012. Moldova MD: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Moldova – Table MD.World Bank.WDI: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
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Malawi MW: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 51.800 % in 2010. This records a decrease from the previous number of 52.400 % for 2009. Malawi MW: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 55.200 % from Dec 1992 (Median) to 2010, with 6 observations. The data reached an all-time high of 58.100 % in 1992 and a record low of 51.800 % in 2010. Malawi MW: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malawi – Table MW.World Bank: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
According to a survey conducted by Ipsos, the perfect height for men, according to 22 percent of survey participants in Great Britain, was between 5 feet 10 inches to 6 feet 1 inch. As for women, 21 percent of respondents stated that the ideal height for a woman should be between 5 feet 5 inches and 5 feet 9 inches.
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Eritrea ER: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data was reported at 16.600 % in 2010. This records a decrease from the previous number of 16.800 % for 2002. Eritrea ER: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 16.800 % from Dec 1995 (Median) to 2010, with 3 observations. The data reached an all-time high of 20.700 % in 1995 and a record low of 16.600 % in 2010. Eritrea ER: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Eritrea – Table ER.World Bank: Health Statistics. Prevalence of wasting, male,is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
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El Salvador SV: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 21.300 % in 2008. This records a decrease from the previous number of 25.600 % for 2003. El Salvador SV: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 30.300 % from Dec 1988 (Median) to 2008, with 5 observations. The data reached an all-time high of 39.500 % in 1988 and a record low of 21.300 % in 2008. El Salvador SV: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s El Salvador – Table SV.World Bank: Health Statistics. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
This dataset was created by Dilara Özcerit