24 datasets found
  1. Average height of men in the top 20 countries worldwide 2016

    • statista.com
    Updated Aug 9, 2016
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    Statista (2016). Average height of men in the top 20 countries worldwide 2016 [Dataset]. https://www.statista.com/statistics/587939/average-height-of-men-in-the-top-20-countries-worldwide/
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    Dataset updated
    Aug 9, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    Worldwide
    Description

    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.

  2. World's Tallest Men and Women Dataset

    • kaggle.com
    zip
    Updated Jun 21, 2024
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    Kanchana1990 (2024). World's Tallest Men and Women Dataset [Dataset]. https://www.kaggle.com/datasets/kanchana1990/worlds-tallest-men-and-women
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    zip(11429 bytes)Available download formats
    Dataset updated
    Jun 21, 2024
    Authors
    Kanchana1990
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    World
    Description

    Dataset Overview: This dataset provides a comprehensive list of the world's tallest women and men, meticulously gathered from Wikipedia. It includes detailed information about each individual, such as their country of origin, height in both metric and imperial units, name, and notable facts. Additionally, the dataset includes lifespan information, highlighting the age at death where applicable. This collection offers valuable insights into the extraordinary heights achieved by individuals across different regions and times.

    Colour Code.

    Green- living White- deceased Pink - height disputed Blue -No growth related pathological disorder (gigantism, acromegaly)

    Data Science Applications: With less than 200 entries, this dataset is ideal for a variety of data science applications. Researchers and enthusiasts can use it to:

    • Perform statistical analysis and visualization of height distribution among the tallest individuals.
    • Explore correlations between height and geographical regions.
    • Conduct studies on the impact of extreme height on lifespan and health.
    • Develop machine learning models to predict potential factors contributing to extraordinary height.

    Data Columns:

    • Country: The country of origin of the individual.
    • Metric: The height of the individual in centimeters.
    • Imperial: The height of the individual in feet and inches.
    • Name: The name of the individual.
    • Note: Notable facts,whether verified or disputed etc.
    • Lifespan (age at death): The lifespan of the individual, including the age at death.

    Ethically Obtained: This dataset has been ethically sourced from Wikipedia, then saved into 2 csv files for Men and Women (No web scraping was performed).

    Acknowledgements: I would like to acknowledge Wikipedia for the primary source of information and Adobe Firefly for the dataset thumbnail image.

  3. Average Height of Men and Women by Country

    • kaggle.com
    zip
    Updated Jan 12, 2023
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    Dilara Özcerit (2023). Average Height of Men and Women by Country [Dataset]. https://www.kaggle.com/datasets/dilaraozcerit/averageheightdata
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    zip(12770 bytes)Available download formats
    Dataset updated
    Jan 12, 2023
    Authors
    Dilara Özcerit
    Description

    Dataset

    This dataset was created by Dilara Özcerit

    Contents

  4. Height of individuals in England 1998-2022, by gender

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Height of individuals in England 1998-2022, by gender [Dataset]. https://www.statista.com/statistics/332542/height-of-individuals-by-gender-in-england-uk/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    England
    Description

    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.

  5. Average height of men and women in selected countries worldwide 2008

    • statista.com
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    Statista, Average height of men and women in selected countries worldwide 2008 [Dataset]. https://www.statista.com/statistics/235952/average-height-of-men-and-women-in-selected-countries-worldwide/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2008
    Area covered
    Worldwide
    Description

    This statistic represents the average height of men and women in selected countries worldwide as of 2008. On average, men are ***** centimeters and women are ***** centimeters tall in Australia.

  6. Average height across India 2019 by select city

    • statista.com
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    Statista, Average height across India 2019 by select city [Dataset]. https://www.statista.com/statistics/1119516/india-average-height-by-select-city/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    India
    Description

    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.

  7. l

    Data from: Supplementary information files for Height and body-mass index...

    • repository.lboro.ac.uk
    • search.datacite.org
    pdf
    Updated May 30, 2023
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    NCD Risk Factor Collaboration; Oonagh Markey (2023). Supplementary information files for Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants [Dataset]. http://doi.org/10.17028/rd.lboro.13241105.v1
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Loughborough University
    Authors
    NCD Risk Factor Collaboration; Oonagh Markey
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Supplementary files for article Supplementary information files for Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants.BackgroundComparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.MethodsFor this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence.FindingsWe pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls.InterpretationThe height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks.

  8. Average height of South Korean men 2023, by age group

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Average height of South Korean men 2023, by age group [Dataset]. https://www.statista.com/statistics/935212/south-korea-average-height-men-by-age-group/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    South Korea
    Description

    In 2023, 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.

  9. Height of high school students in South Korea 2000-2023, by gender

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Height of high school students in South Korea 2000-2023, by gender [Dataset]. https://www.statista.com/statistics/651793/south-korea-height-high-school-students/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    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.

  10. u

    Demographic and Health Survey 2000-2001 - Uganda

    • microdata.ubos.org
    • catalog.ihsn.org
    • +1more
    Updated Feb 14, 2018
    + more versions
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    Uganda Bureau of Statistics (UBOS) (2018). Demographic and Health Survey 2000-2001 - Uganda [Dataset]. https://microdata.ubos.org:7070/index.php/catalog/51
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    Dataset updated
    Feb 14, 2018
    Dataset authored and provided by
    Uganda Bureau of Statistics (UBOS)
    Time period covered
    2000 - 2001
    Area covered
    Uganda
    Description

    Abstract

    The 2000-2001 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey of 7,246 women age 15-49 and 1,962 men age 15-54. The main purpose of the 2000-2001 UDHS is to provide policy-makers and programme managers with detailed information on fertility; family planning; childhood and adult mortality; maternal and child health and nutrition; and knowledge of, attitudes about, and practices related to HIV/AIDS. The 2000-2001 UDHS is the third national sample survey of its kind to be undertaken in Uganda. The first survey was implemented in 1988-1989 and was followed by the 1995 UDHS. Caution needs to be exercised when analysing trends using the three UDHS data sets because of some differences in geographic coverage.

    The 2000-2001 Uganda Demographic and Health Survey (UDHS) was designed to provide information on demographic, health, and family planning status and trends in the country. Specifically, the UDHS collected information on fertility levels, marriage, sexual activity, fertility preferences, awareness and use of family planning methods, and breastfeeding practices. In addition, data were collected on the nutritional status of mothers and young children; infant, child, adult, and maternal mortality; maternal and child health; awareness and behaviour regarding HIV/AIDS and other sexually transmitted infections; and levels of haemoglobin and vitamin A in the blood.

    The 2000-2001 UDHS is a follow-up to the 1988-1989 and 1995 UDHS surveys, which were also implemented by the Uganda Bureau of Statistics (UBOS, previously the Department of Statistics). The 2000-2001 UDHS is significantly expanded in scope but also provides updated estimates of basic demographic and health indicators covered in the earlier surveys.

    The specific objectives of the 2000-2001 UDHS are as follows: - To collect data at the national level that will allow the calculation of demographic rates, particularly the fertility and infant mortality rates - To analyse the direct and indirect factors that determine the level and trends in fertility and mortality - To measure the level of contraceptive knowledge and practice of women and men by method, by urban-rural residence, and by region - To collect data on knowledge and attitudes of women and men about sexually transmitted infections and HIV/AIDS, and to evaluate patterns of recent behaviour regarding condom use - To assess the nutritional status of children under age five and women by means of anthropometric measurements (weight and height), and to assess child feeding practices - To collect data on family health, including immunisations, prevalence and treatment of diarrhoea and other diseases among children under five, antenatal visits, assistance at delivery, and breastfeeding - To measure levels of haemoglobin and vitamin A in the blood of women and children - To collect information on the extent of child labour.

    MAIN FINDINGS

    • Constant Fertility: The UDHS results show that fertility in Uganda has remained stationary in recent years. The total fertility rate (TFR) declined from 7.3 births per woman recorded in the 1988 survey to 6.9 births for the 1995 UDHS. Since then, the TFR has remained at the same level. The crude birth rate (CBR) from the 2000-2001 survey is 47 births per 1,000 population, essentially the same as that recorded in 1995 (48 births per 1,000 population).

    • Unplanned Fertility: Despite increasing use of contraception, the survey data show that unplanned pregnancies are still common in Uganda. One in four births in the five years prior to the survey were mistimed (wanted later), and 15 percent were not wanted at all. If unwanted births could be prevented, the total fertility rate in Uganda would be 5.3 births per woman instead of the actual level of 6.9.

    • Fertility regulation: Increasing Use of Contraception. Contraceptive use among currently married women in Uganda has increased from 15 percent in 1995 to 23 percent in 2000-2001. Most of the increase is due to greater use of modern methods (8 percent in 1995 compared with 18 percent in 2000-2001). The most widely used methods in 2000-2001 were injectables (6 percent), the lactational amenorrhoea method (4 percent), and the pill (3 percent). There has been a shift in method mix since 1995, when periodic abstinence, the pill, and injectables were the most widely used methods. Condom use has also increased from 1 percent in 1995 to 2 percent in 2000-2001.

    • Maternal and child health: Antenatal Care. Survey data show that antenatal coverage is very high in Uganda. Women receive at least some antenatal care for more than nine in ten births. In most cases, antenatal care is provided by a nurse or a midwife (83 percent). Doctors provide antenatal care to 9 percent of pregnant women, while the role of traditional birth attendants is insignificant. Only 42 percent of pregnant women make four or more antenatal care visits, while another 42 percent make only two or three visits. Moreover, very few women receive antenatal care during the first trimester of pregnancy. The majority of women (70 percent) receive tetanus toxoid vaccination during pregnancy, with 42 percent of the women receiving two or more doses of vaccine.

    • Nutritional Status of Children: Survey data show that there has been little improvement since 1995 in children's nutritional status. Overall, 39 percent of Ugandan children under five years are classified as stunted (low height-for-age), 4 percent of children under five years are wasted (low weight-for-height), and 23 percent are underweight.

    • Nutritional Status of Women: The mean height for Ugandan women is 158 centimetres (cm), which is similar to the mean height obtained in the 1995 UDHS. The cutoff point below which women are identified as short in stature is in the range of 140 to 150 cm. Two percent of women are less than 145 cm tall. Another measure of women's nutritional status is the body mass index (BMI), which is derived by dividing the weight in kilograms by the height in metres squared (kg/m2). A cutoff point of 18.5 has been recommended for defining chronic undernutrition. In the 2000-2001 UDHS, the mean BMI for women was 21.9, which falls within normal limits.

    • Knowledge of HIV/AIDS: In Uganda, HIV/AIDS has been termed a “household disease”, because nine in ten respondents of either sex knew personally of someone with HIV or who had died of AIDS. Although knowledge of AIDS in Uganda is universal, the level of awareness about the disease is not matched by the knowledge of ways to avoid contracting the virus. The most commonly cited ways are using condoms (54 percent of women and 72 percent of men), abstaining from sexual relations (50 percent of women and 65 percent of men), and having only one sexual partner (49 percent of women and 43 percent of men).

    • Mortality : knowledge is uneven. Overall, 58 percent of women know that HIV can be transmitted during pregnancy, 69 percent know about transmission during delivery, and 46 percent know about transmission during breastfeeding. Levels of knowledge among men are similar.

    • Knowledge of Symptoms of Sexually Transmitted Infections (STIs): STIs have been identified as cofactors in HIV/AIDS transmission. Almost half of women and one in four men either have no knowledge of STIs at all or are unable to recognise any symptoms of STIs in a man. Sixty-four percent of women know of some symptoms of STIs in women and 53 percent know of some symptoms in men. Knowledge of symptoms of STIs among men is generally higher than among women.

    • HIV/AIDS testing: Eight percent of women and 12 percent of men report that they have been tested for HIV. Women in their twenties and men age 25-39 are the most likely to have had the test. This test is much more common among respondents living in urban areas, in the Central Region, and in Kampala district and among those who have secondary education.

    Geographic coverage

    The 2000-2001 Uganda Demographic and Health Survey (UDHS) is a nationally representative survey. But it was not possible to cover all 45 districts in the country because of security problems in a few areas. The survey was hence limited to 41 out of the then 45 districts in the country, excluding the districts of Kasese and Bundibugyo in the Western Region and Gulu and Kitgum in the Northern Region. These districts cover approximately 5 percent of the total population.

    Analysis unit

    • Household
    • Women age 15-49
    • Men age 15-54
    • Children under five

    Universe

    The population covered by the 2000 UDHS is defined as the universe of all women age 15-49 in Uganda and all men age 15-54.

    Kind of data

    Sample survey data

    Sampling procedure

    The sample was drawn through a two-stage design. The first-stage sample frame for this survey is the list of enumeration areas (EAs) compiled from the 1991 Population Census. In this frame, the EAs are grouped by parish within a subcounty, by subcounty within a county, and by county within a district. A total of 298 EAs (102 in urban areas and 196 in rural areas) were selected. Urban areas and districts included in the Delivery of Improved Services for Health (DISH) project and the Community Reproductive Health Project (CREHP) were oversampled in order to produce estimates for these segments of the population.

    Within each selected EA, a complete household listing was done to provide the basis for the second-stage sampling. The number of households to be selected in each sampled EA was allocated proportionally to the number of households in the EA.

    It was not possible to cover all districts in the country because of security problems in a few areas. The survey was hence limited to 41 out of the then

  11. I

    Iraq IQ: Prevalence of Stunting: Height for Age: Male: % of Children Under 5...

    • ceicdata.com
    Updated May 11, 2018
    + more versions
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    CEICdata.com (2018). Iraq IQ: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/iraq/health-statistics/iq-prevalence-of-stunting-height-for-age-male--of-children-under-5
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    Dataset updated
    May 11, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2000 - Dec 1, 2011
    Area covered
    Iraq
    Description

    Iraq IQ: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 23.500 % in 2011. This records a decrease from the previous number of 28.700 % for 2006. Iraq IQ: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 28.700 % from Dec 2000 (Median) to 2011, with 3 observations. The data reached an all-time high of 28.900 % in 2000 and a record low of 23.500 % in 2011. Iraq IQ: 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 Iraq – Table IQ.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.

  12. Number of buildings at least 200 meters high worldwide 2025, by select...

    • statista.com
    Updated Jul 17, 2025
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    Statista (2025). Number of buildings at least 200 meters high worldwide 2025, by select country [Dataset]. https://www.statista.com/statistics/272811/number-of-buildings-taller-than-200-meters-by-country-worldwide/
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    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In July 2025, China was by far the country with the most skyscrapers of over 200 meters in height. In fact, China had more buildings exceeding that height than the rest of the countries in the ranking together. The second country with the most skyscrapers of 200 meters or more was the United States, with *** such buildings, followed by the United Arab Emirates with *** skyscrapers of over 200 meters.

  13. N

    Namibia NA: Prevalence of Stunting: Height for Age: Male: % of Children...

    • ceicdata.com
    Updated Jul 29, 2018
    + more versions
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    CEICdata.com (2018). Namibia NA: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/namibia/health-statistics/na-prevalence-of-stunting-height-for-age-male--of-children-under-5
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    Dataset updated
    Jul 29, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1992 - Dec 1, 2013
    Area covered
    Namibia
    Description

    Namibia NA: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 25.600 % in 2013. This records a decrease from the previous number of 32.000 % for 2007. Namibia NA: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 31.150 % from Dec 1992 (Median) to 2013, with 4 observations. The data reached an all-time high of 39.300 % in 1992 and a record low of 25.600 % in 2013. Namibia NA: 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 Namibia – Table NA.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.

  14. J

    Jamaica JM: Prevalence of Stunting: Height for Age: % of Children Under 5,...

    • ceicdata.com
    Updated Jun 15, 2017
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    CEICdata.com (2017). Jamaica JM: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate [Dataset]. https://www.ceicdata.com/en/jamaica/social-health-statistics/jm-prevalence-of-stunting-height-for-age--of-children-under-5-modeled-estimate
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    Dataset updated
    Jun 15, 2017
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Jamaica
    Description

    Jamaica JM: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 6.900 % in 2024. This records an increase from the previous number of 6.800 % for 2023. Jamaica JM: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 6.400 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 7.200 % in 2000 and a record low of 6.100 % in 2012. Jamaica JM: Prevalence of Stunting: Height for Age: % 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 Jamaica – Table JM.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children 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 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;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). 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. 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.

  15. Y

    Yemen YE: Prevalence of Stunting: Height for Age: Female: % of Children...

    • ceicdata.com
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    CEICdata.com, Yemen YE: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/yemen/health-statistics/ye-prevalence-of-stunting-height-for-age-female--of-children-under-5
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1991 - Dec 1, 2013
    Area covered
    Yemen
    Description

    Yemen YE: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 45.600 % in 2013. This records a decrease from the previous number of 46.200 % for 2011. Yemen YE: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 56.900 % from Dec 1991 (Median) to 2013, with 5 observations. The data reached an all-time high of 58.300 % in 1997 and a record low of 45.600 % in 2013. Yemen YE: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Yemen – Table YE.World Bank: Health Statistics. Prevalence of stunting, female, is the percentage of girls 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.

  16. T

    Timor-Leste TL: Prevalence of Stunting: Height for Age: Female: % of...

    • ceicdata.com
    Updated Jun 28, 2021
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    CEICdata.com (2021). Timor-Leste TL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/timorleste/health-statistics/tl-prevalence-of-stunting-height-for-age-female--of-children-under-5
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    Dataset updated
    Jun 28, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2002 - Dec 1, 2013
    Area covered
    Timor-Leste
    Description

    Timor-Leste TL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 47.200 % in 2013. This records a decrease from the previous number of 55.600 % for 2009. Timor-Leste TL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 52.200 % from Dec 2002 (Median) to 2013, with 4 observations. The data reached an all-time high of 55.600 % in 2009 and a record low of 47.200 % in 2013. Timor-Leste TL: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Timor-Leste – Table TL.World Bank: Health Statistics. Prevalence of stunting, female, is the percentage of girls 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.

  17. Countries with the most YouTube users 2025

    • statista.com
    • boostndoto.org
    Updated Oct 15, 2025
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    Statista (2025). Countries with the most YouTube users 2025 [Dataset]. https://www.statista.com/statistics/280685/number-of-monthly-unique-youtube-users/
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    Dataset updated
    Oct 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    YouTube, Worldwide
    Description

    As of October 2025, India was the country with the largest YouTube audience by far, with approximately 500 million users engaging with the popular social video platform. The United States followed, with 254 million YouTube viewers. Indonesia came in third, with 151 million users watching content on YouTube. The United Kingdom saw 55.5 million internet users engaging with the platform in the examined period. What country has the highest percentage of YouTube users? Saudi Arabia was the country with the highest YouTube penetration worldwide, as nearly 96 percent of the country's digital population engaged with the service. In 2025, YouTube counted 125 million paid subscribers for its YouTube Music and YouTube Premium services. YouTube mobile markets YouTube is among the most popular social media platforms worldwide. In terms of in-app (IAP) revenue, the YouTube app generated approximately 53 million U.S. dollars in the United States in December 2024, as well as 17 million U.S. dollars in Japan.

  18. Homeownership rate in Europe 2024, by country

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Homeownership rate in Europe 2024, by country [Dataset]. https://www.statista.com/statistics/246355/home-ownership-rate-in-europe/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    In the presented European countries, the homeownership rate extended from 42.6 percent in Switzerland to as much as 95.9 percent in Albania. Countries with more mature rental markets, such as France, Germany, the UK, and Switzerland, tended to have a lower homeownership rate compared to the frontier countries, such as Lithuania or Slovakia. The share of house owners among the population of all 20 euro area countries stood at 64.5 percent in 2024. Average cost of housing Countries with lower homeownership rates tend to have higher house prices. In 2024, the average transaction price for a house was notably higher in Western and Northern Europe than in Eastern and Southern Europe. In Austria, one of the most expensive European countries to buy a new dwelling in, the average price was three times higher than in Greece. Looking at house price growth, however, the most expensive markets recorded slower house price growth compared to the mid-priced markets. Housing supply With population numbers rising across Europe, the need for affordable housing continues. In 2024, European countries completed between one and six housing units per 1,000 citizens, with Ireland, Poland, and Denmark responsible for heading the ranking. One of the major challenges for supplying the market with more affordable homes is the rising construction costs. In 2021 and 2022, housing construction costs escalated dramatically due to soaring inflation, which has had a significant effect on new supply.

  19. Total fertility rate in Europe 2024, by country

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Total fertility rate in Europe 2024, by country [Dataset]. https://www.statista.com/statistics/612074/fertility-rates-in-european-countries/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    In 2024, Monaco was the European country estimated to have the highest fertility rate. The country had a fertility rate of 2.1 children per woman. Other small countries such as Gibraltar or Montenegro also came towards the top of the list for 2024, while the large country with the highest fertility rate was France, with 1.64 children per woman. On the other hand, Ukraine had the lowest fertility rate, averaging around one child per woman.

  20. Population of Africa 2023, by age group

    • statista.com
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    Statista, Population of Africa 2023, by age group [Dataset]. https://www.statista.com/statistics/1226211/population-of-africa-by-age-group/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 1, 2023
    Area covered
    Africa
    Description

    In 2023, there were around 211 million children aged 0-4 years in Africa. In total, the population aged 17 years and younger amounted to approximately 680 million. In contrast, only approximately 52 million individuals were aged 65 years and older as of the same year. The youngest continent in the world Africa is the continent with the youngest population worldwide. As of 2024, around 40 percent of the population in Sub-Saharan Africa was aged 15 years and younger, compared to a global average of 25 percent. Although the median age on the continent has been increasing annually, it remains low at around 20 years. There are several reasons behind the low median age. One factor is the low life expectancy at birth: On average, the male and female populations in Africa live between 61 and 65 years, respectively. In addition, poor healthcare on the continent leads to high mortality, also among children and newborns, while the high fertility rate contributes to lowering the median age. Cross-country demographic differences Africa’s demographic characteristics are not uniform across the continent. The age structure of the population differs significantly from one country to another. For instance, Niger and Uganda have the lowest median age in Africa, at 15.1 and 16.1 years, respectively. Not surprisingly, these countries also register a high crude birth rate. On the other hand, North Africa is the region recording the highest life expectancy at birth, with Tunisia and Algeria leading the ranking in 2025.

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Statista (2016). Average height of men in the top 20 countries worldwide 2016 [Dataset]. https://www.statista.com/statistics/587939/average-height-of-men-in-the-top-20-countries-worldwide/
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Average height of men in the top 20 countries worldwide 2016

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Dataset updated
Aug 9, 2016
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2016
Area covered
Worldwide
Description

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.

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