Dataset representing average male height data by country.

As per the results of a large scale survey in 2019, the average height of Indian respondents was five feet and six inches. Among the surveyed Indian cities, Chennai had the tallest people, whereas Hyderabad had the shortest people in the country.

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.

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 ---

Context

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.

Content

The dataset contains six columns: • Rank • Country Name • Male height in Cm • Female height in Cm • Male height in Ft • Female height in Ft

Acknowledgements

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.”

Inspiration

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?

References:

The Data is collected from the following sites:

https://ourworldindata.org/

--- Original source retains full ownership of the source dataset ---

The United States has an average elevation of roughly 2,500 feet (763m) above sea level, however there is a stark contrast in elevations across the country. Highest states Colorado is the highest state in the United States, with an average elevation of 6,800 feet (2,074m) above sea level. The 10 states with the highest average elevation are all in the western region of the country, as this is, by far, the most mountainous region in the country. The largest mountain ranges in the contiguous western states are the Rocky Mountains, Sierra Nevada, and Cascade Range, while the Appalachian Mountains is the longest range in the east - however, the highest point in the U.S. is Denali (Mount McKinley), found in Alaska. Lowest states At just 60 feet above sea level, Delaware is the state with the lowest elevation. Delaware is the second smallest state, behind Rhode Island, and is located on the east coast. Larger states with relatively low elevations are found in the southern region of the country - both Florida and Louisiana have an average elevation of just 100 feet (31m) above sea level, and large sections of these states are extremely vulnerable to flooding and rising sea levels, as well as intermittent tropical storms.

In 2023, amounting to 171.8 centimeters, the average height of Japanese men was highest among the age group of 21 year olds. With age the average height decreased, amounting to only 164 centimeters among men over 70 years.

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.

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.

The building layer of the GRB with height data (3D GRB) is used here as base data (version 2016). The average height of all buildings within this cell is calculated per grid cell of 1ha, weighted with the (ground) surface area of ​​the buildings.

This dataset tracks annual distribution of students across grade levels in State Specialty Schools II- Atlanta Heights Charter School District and average distribution per school district in Georgia

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.

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.

This U.S. Geological Survey data release provides data on spatial variations in climatological wave parameters (significant wave height, peak wave period, and wave power) for coastal areas along the United States East Coast and Gulf of Mexico. Significant wave height is the average wave height, from crest to trough, of the highest one-third of the waves in a specific time period. Peak wave period is the wave period associated with the most energetic waves in the wave spectrum in a specific time period. Wave power is the energy per unit length generated by the movement of ocean waves. Climatological wave conditions provide the average forcing that can lead to changes in the coastal environment. For the generation of this dataset, we use model simulations. Waves under different climatological wind forcing conditions averaged from the European Centre for Medium Range Weather Forecast (ECMWF) Re-Analysis (ERA-5) were simulated using the coupled ADCIRC/SWAN model system. Coastal areas are resolved with horizontal resolutions on the order of hundreds of meters. The ADCIRC/SWAN simulations provide steady-state wave conditions under constant wind at each computational point of an unstructured grid that covers the entire area of interest—from the open ocean to overland areas up to approximately 15 meters above the North American Vertical Datum of 1988. The simulations provide wave height and period and are also used to calculate wave power. We consider the frequency of occurrence of each wind magnitude and direction bin for each location to reconstruct weighted-average wave conditions. The resulting wave parameters are provided at all points of the computational grid less than 10 meter elevation and shallower than -30 meter bottom depth (North American Vertical Datum of 1988). Grid points above 10 meters and deeper than 30 meters are given a fill value.

This statistic represents the average height of men in the top 20 countries worldwide as of 2016. On average, men are 183.9 centimeters tall in Bosnia & Herzegovina.

This dataset is a categorical mapping of estimated mean building heights, by Census block group, in shapefile format for the conterminous United States. The data were derived from the NASA Shuttle Radar Topography Mission, which collected “first return” (top of canopy and buildings) radar data at 30-m resolution in February, 2000 aboard the Space Shuttle Endeavor. These data were processed here to estimate building heights nationally, and then aggregated to block group boundaries. The block groups were then categorized into six classes, ranging from “Low” to “Very High”, based on the mean and standard deviation breakpoints of the data. The data were evaluated in several ways, to include comparing them to a reference dataset of 85,000 buildings for the city of San Francisco for accuracy assessment and to provide contextual definitions for the categories.

This dataset tracks annual average revenue per student from 2012 to 2021 for State Specialty Schools II- Atlanta Heights Charter School District

In 2022, the average height of South Korean women in their thirties was ****** centimeters, with women in their twenties having a very similar average height. On average, South Korean women were ****** centimeters tall, and older women tended to be shorter. Average height increases slowly The average height of women in South Korea has seen a noticeable increase over the past decade. In 2012, women in their twenties were ****** centimeters on average. However, the average height grew by around **** centimeters in the past ten years. The change could be attributed to improvements in overall nutrition, healthcare, and living conditions in the country. The South Korean beauty standard In a survey, South Korean women were asked about their preferred height range, and their answers fell between *** to *** centimeters. Women not only have a preferred height for themselves but also for their future spouses. Single women’s ideal height for their potential husbands was at around ***** centimeters, while single men wished for their potential wives to be *** centimeters tall.

This table contains 136080 series, with data for years 2005 - 2005 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (126 items: Canada; Central Regional Integrated Health Authority; Newfoundland and Labrador; Newfoundland and Labrador; Eastern Regional Integrated Health Authority; Newfoundland and Labrador ...), Age group (5 items: Total; 18 years and over;18 to 34 years ...), Sex (3 items: Both sexes; Males; Females ...), Body mass index (BMI), self-reported (9 items: Total population for the variable body mass index; self-reported; Normal weight; body mass index; self-reported 18.5 to 24.9;Overweight; body mass index; self-reported 25.0 to 29.9;Underweight; body mass index; self-reported under 18.5 ...), Characteristics (8 items: Number of persons; Low 95% confidence interval; number of persons; Coefficient of variation for number of persons; High 95% confidence interval; number of persons ...).

This CT Full State layer consists of two individual polygons representing the land and Long Island Sound borders that make up the state of Connecticut.

This land portion of this feature layer is directly derived from the 'https://geodata.ct.gov/datasets/CTDOT::ct-municipalities/about' rel='nofollow ugc'>CTDOT Municipalities feature layer geometry, created by CT Department of Transportation. The full state is created by dissolving all the municipalities into one polygon.

The Long Island Sound portion is derived from points defining the Connecticut state waters boundary line, as described in the 'https://portal.ct.gov/-/media/deep/fishing/commercial/marinecircpdf.pdf' rel='nofollow ugc'>CTDEEP Marine Fisheries Information Circular (Table 6).

This feature layer includes US Census Federal Information Processing Standards (FIPS) codes that are associated with the state of Connecticut.

China Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 11.100 % in 2024. This records an increase from the previous number of 10.400 % for 2023. China Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 6.900 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 11.100 % in 2024 and a record low of 6.500 % in 2008. China Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children 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 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;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. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.