54 datasets found
  1. Average building height of distribution center networks in the U.S....

    • statista.com
    Updated Oct 7, 2022
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    Statista (2022). Average building height of distribution center networks in the U.S. 2016-2021 [Dataset]. https://www.statista.com/statistics/947267/logistics-distribution-center-network-average-height-united-states/
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    Dataset updated
    Oct 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic depicts the average clear height of buildings in distribution center networks of warehousing and logistics providers in the United States between 2016 and 2021. During the 2021 survey, the average building height was 31.1 feet.

  2. U

    United States US: Prevalence of Wasting: Weight for Height: Female: % of...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-prevalence-of-wasting-weight-for-height-female--of-children-under-5
    Explore at:
    Dataset updated
    Feb 15, 2025
    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, 2012
    Area covered
    United States
    Description

    United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 0.700 % in 2012. This records an increase from the previous number of 0.500 % for 2009. United States US: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 0.550 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 0.800 % in 2005 and a record low of 0.100 % in 2001. United States US: Prevalence of Wasting: Weight for Height: 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 United States – Table US.World Bank.WDI: Health Statistics. Prevalence of wasting, female, is the proportion of girls 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.

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

    • statista.com
    Updated Oct 13, 2008
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    Statista (2008). 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 updated
    Oct 13, 2008
    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 178.4 centimeters and women are 163.9 centimeters tall in Australia.

  4. N

    Height of Land Township, Minnesota Population Breakdown by Gender Dataset:...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Neilsberg Research (2025). Height of Land Township, Minnesota Population Breakdown by Gender Dataset: Male and Female Population Distribution // 2025 Edition [Dataset]. https://www.neilsberg.com/research/datasets/b2386310-f25d-11ef-8c1b-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, Height of Land Township
    Variables measured
    Male Population, Female Population, Male Population as Percent of Total Population, Female Population as Percent of Total Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of Height of Land township by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Height of Land township across both sexes and to determine which sex constitutes the majority.

    Key observations

    There is a slight majority of female population, with 50.0% of total population being female. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

    Variables / Data Columns

    • Gender: This column displays the Gender (Male / Female)
    • Population: The population of the gender in the Height of Land township is shown in this column.
    • % of Total Population: This column displays the percentage distribution of each gender as a proportion of Height of Land township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Height of Land township Population by Race & Ethnicity. You can refer the same here

  5. N

    Height of Land Township, Minnesota Age Cohorts Dataset: Children, Working...

    • neilsberg.com
    csv, json
    Updated Feb 22, 2025
    + more versions
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    Neilsberg Research (2025). Height of Land Township, Minnesota Age Cohorts Dataset: Children, Working Adults, and Seniors in Height of Land township - Population and Percentage Analysis // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/height-of-land-township-mn-population-by-age/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 22, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Minnesota, Height of Land Township
    Variables measured
    Population Over 65 Years, Population Under 18 Years, Population Between 18 and 64 Years, Percent of Total Population for Age Groups
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To measure the two variables, namely (a) population and (b) population as a percentage of the total population, we initially analyzed and categorized the data for each of the age cohorts. For age cohorts we divided it into three buckets Children ( Under the age of 18 years), working population ( Between 18 and 64 years) and senior population ( Over 65 years). For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Height of Land township population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Height of Land township. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

    Key observations

    The largest age group was 18 to 64 years with a poulation of 437 (60.03% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Age cohorts:

    • Under 18 years
    • 18 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Group: This column displays the age cohort for the Height of Land township population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
    • Population: The population for the age cohort in Height of Land township is shown in the following column.
    • Percent of Total Population: The population as a percent of total population of the Height of Land township is shown in the following column.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Height of Land township Population by Age. You can refer the same here

  6. Historical median heights for various countries, 1818-2013

    • figshare.com
    txt
    Updated Jan 19, 2016
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    Randy Olson (2016). Historical median heights for various countries, 1818-2013 [Dataset]. http://doi.org/10.6084/m9.figshare.1066523.v2
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    txtAvailable download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    figshare
    Authors
    Randy Olson
    License

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

    Description

    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.

  7. 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/
    Explore at:
    Dataset updated
    Aug 9, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    World
    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.

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

    • statista.com
    Updated Sep 24, 2024
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    Statista (2024). Height of individuals in England 1998-2022, by gender [Dataset]. https://www.statista.com/statistics/332542/height-of-individuals-by-gender-in-england-uk/
    Explore at:
    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, 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.

  9. United States US: Prevalence of Stunting: Height for Age: Male: % of...

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States US: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-prevalence-of-stunting-height-for-age-male--of-children-under-5
    Explore at:
    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    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, 2012
    Area covered
    United States
    Description

    United States US: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 3.000 % in 2012. This records a decrease from the previous number of 3.200 % for 2009. United States US: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 3.600 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 4.500 % in 2002 and a record low of 3.000 % in 2012. United States US: 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 United States – Table US.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.

  10. United States US: Prevalence of Overweight: Weight for Height: Female: % of...

    • ceicdata.com
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    CEICdata.com, United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-prevalence-of-overweight-weight-for-height-female--of-children-under-5
    Explore at:
    Dataset provided by
    CEIC Data
    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, 2012
    Area covered
    United States
    Description

    United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 6.900 % in 2012. This records an increase from the previous number of 6.400 % for 2009. United States US: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 6.900 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 8.700 % in 2005 and a record low of 5.100 % in 1991. United States US: Prevalence of Overweight: Weight for Height: 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 USA – Table US.World Bank: Health Statistics. Prevalence of overweight, female, is the percentage of girls 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

  11. U

    United States US: Prevalence of Severe Wasting: Weight for Height: Male: %...

    • ceicdata.com
    + more versions
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    CEICdata.com, United States US: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-prevalence-of-severe-wasting-weight-for-height-male--of-children-under-5
    Explore at:
    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, 2012
    Area covered
    United States
    Description

    United States US: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 0.000 % in 2012. This stayed constant from the previous number of 0.000 % for 2009. United States US: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 0.050 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 0.100 % in 2005 and a record low of 0.000 % in 2012. United States US: Prevalence of Severe 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 USA – Table US.World Bank: Health Statistics. Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three 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.

  12. Average adult body weight in the U.S. from 1999 to 2016

    • statista.com
    Updated Jan 14, 2019
    + more versions
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    Statista (2019). Average adult body weight in the U.S. from 1999 to 2016 [Dataset]. https://www.statista.com/statistics/955031/adult-body-weight-average-us/
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    Dataset updated
    Jan 14, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2016
    Area covered
    United States
    Description

    This statistic depicts the average body weight of U.S. adults aged 20 years and over from 1999 to 2016. According to the data, the average male body weight has increased from 189.4 in 1999-2000 to 197.9 in 2015-2016.

  13. Average height of South Korean men 2022, by age group

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Average height of South Korean men 2022, by age group [Dataset]. https://www.statista.com/statistics/935212/south-korea-average-height-men-by-age-group/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    South Korea
    Description

    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.

  14. Average adult male body weight in the U.S. from 1999 to 2016, by ethnicity

    • statista.com
    Updated Jan 14, 2019
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    Statista (2019). Average adult male body weight in the U.S. from 1999 to 2016, by ethnicity [Dataset]. https://www.statista.com/statistics/955064/adult-male-body-weight-average-us-by-ethnicity/
    Explore at:
    Dataset updated
    Jan 14, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2016
    Area covered
    United States
    Description

    This statistic depicts the average body weight of U.S. men aged 20 years and over from 1999 to 2016, by ethnicity. According to the data, the average male body weight for those that identified as non-Hispanic white has increased from 192.3 in 1999-2000 to 202.2 in 2015-2016.

  15. a

    Full Climatology (99th Percentile Cloud Top Height) (South America...

    • disaster-amerigeoss.opendata.arcgis.com
    • disasters-usnsdi.opendata.arcgis.com
    Updated Mar 31, 2023
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    NASA ArcGIS Online (2023). Full Climatology (99th Percentile Cloud Top Height) (South America Convection Climatology) [Dataset]. https://disaster-amerigeoss.opendata.arcgis.com/datasets/0a1a7076f4b44c93b8e8793233fc9b14
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    Dataset updated
    Mar 31, 2023
    Dataset authored and provided by
    NASA ArcGIS Online
    Area covered
    Description

    ArcGIS Image Service

        Time Interval: Full Climatology
    
    
        Version: 1
    
    
        Spatial
            Resolution: 3 km
    
    
        Time Extent: 1995 to 2021
    
    
        Projection: GCS WGS84
    
    
        Extent: Regional | South America
    
    
        Other Formats: OGC WMS, OGC WCS, REST
    
    
    
    
    
    
    
          Collection
    
    
    
              This collection contains South American IR detection climatological statistics averaged over: Jan-Dec 2005-2019
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
      Satellite Mapping and Analysis of Severe Hailstorms (SMASH) Project
    
    This Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional
        to global scale satellite observations and provides mechanisms to explore related datasets.
    
    For questions/issues please contact: kristopher.m.bedka@nasa.gov
    
    SMASH AGOL
      Group
    | NASA Applied Sciences 
    | NASA Disasters Mapping Portal 
    | NASA Langley Research Center Science Directorate
    
  16. a

    Annual Climatology (99th Percentile Cloud Top Height) (South America...

    • disasters.amerigeoss.org
    • disasters-usnsdi.opendata.arcgis.com
    • +1more
    Updated Mar 31, 2023
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    NASA ArcGIS Online (2023). Annual Climatology (99th Percentile Cloud Top Height) (South America Convection Climatology) [Dataset]. https://disasters.amerigeoss.org/datasets/d534ebe471304057b9f2f1f32c0382ef
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    Dataset updated
    Mar 31, 2023
    Dataset authored and provided by
    NASA ArcGIS Online
    Area covered
    Description

    ArcGIS Image Service

        Time Interval: Annual Climatology
    
    
        Version: 1
    
    
        Spatial
            Resolution: 3 km
    
    
        Time Extent: 1995 to 2021
    
    
        Projection: GCS WGS84
    
    
        Extent: Regional | South America
    
    
        Other Formats: OGC WMS, OGC WCS, REST
    
    
    
    
    
    
    
          Collection
    
    
    
              This collection contains South American IR detection climatological statistics averaged over: Jan-Dec Annually.
    
    
    
    
    
    
    
    
    
    
    
    
    
    
    
      Satellite Mapping and Analysis of Severe Hailstorms (SMASH) Project
    
    This Hailstorm research project seeks to address knowledge gaps in the severe hail climatology using regional
        to global scale satellite observations and provides mechanisms to explore related datasets.
    
    For questions/issues please contact: kristopher.m.bedka@nasa.gov
    
    SMASH AGOL
      Group
    | NASA Applied Sciences 
    | NASA Disasters Mapping Portal 
    | NASA Langley Research Center Science Directorate
    
  17. U

    United States US: Prevalence of Overweight: Weight for Height: % of Children...

    • ceicdata.com
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    CEICdata.com, United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-prevalence-of-overweight-weight-for-height--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, 1969 - Dec 1, 2012
    Area covered
    United States
    Description

    United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 6.000 % in 2012. This records a decrease from the previous number of 7.800 % for 2009. United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 7.000 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 8.100 % in 2005 and a record low of 5.400 % in 1991. United States US: Prevalence of Overweight: Weight for Height: % of Children Under 5 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: 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 new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; 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

  18. d

    Pre-fire (20201012) Relative Height 50th Percentile for the Dixie Fire

    • catalog.data.gov
    Updated Feb 22, 2025
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    U.S. Geological Survey (2025). Pre-fire (20201012) Relative Height 50th Percentile for the Dixie Fire [Dataset]. https://catalog.data.gov/dataset/pre-fire-20201012-relative-height-50th-percentile-for-the-dixie-fire
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    Dataset updated
    Feb 22, 2025
    Dataset provided by
    U.S. Geological Survey
    Description

    Post-fire vegetation status and condition have multiple implications. They are indicative of burn severity and the lasting impacts of fire the land; they also help inform post-fire debris flow modeling and related risk analyses, hydrology and water quality assessments, and vulnerability to invasive species. Monitoring vegetation recovery over time enables continuous re-evaluation of various post-fire hazards, thereby facilitating informed and timely responses to post-fire risks by land managers at the local level. Structure metrics were derived from spaceborne Global Ecosystem Dynamics Investigation (GEDI) lidar data and used to map pre- and post-fire structure. Pre- and post-fire Landsat or Sentinel satellite data were obtained from the Monitoring Trends in Burn Severity (MTBS; https://www.mtbs.gov/) program. GEDI data were intersected with each satellite band and XGBoost models were built using band values as independent variables and GEDI vegetation structure values as dependent values. The models were used to generate spatially continuous maps of structure, providing vegetation structural estimates throughout the fire perimeter and beyond.

  19. Heights of all U.S. presidents 1789-2021

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Heights of all U.S. presidents 1789-2021 [Dataset]. https://www.statista.com/statistics/1115255/us-presidents-heights/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average height of the 45 men who have served as the President of the United States is approximately 180cm (5'11"); this is roughly five centimeters (two inches) taller than the average U.S. male in 2020. Abraham Lincoln has the distinction of being the tallest U.S. president in history, at 193cm (6'4"), while James Madison was the shortest (and lightest) U.S. president at 163cm (5'4"). US presidents are getting taller Of the ten most recent presidents, only Jimmy Carter has been shorter than the presidential average, while none of the presidents who have served since the beginning of the twentieth century have been shorter than the national average. Since Ronald Reagan became president in 1981, George W. Bush and Joe Biden are the only U.S. president to have been shorter than six feet tall; by just half an inch. Trump height controversy Former President Donald Trump made headlines in 2018, when his official height increased from 6'2" (the height from all previously-existing records, including his 2012 drivers license) to 6'3"*. Many in the media speculated that this was to prevent him from being classified as obese according to his body mass index. A number of photos also circulated on social media showing Trump next to (and visibly shorter than) a number of athletes who are officially 6'3", while photos of him standing next to Barack Obama were used to show that he may be closer to his predecessor's height, at 6'1". Nonetheless, Trump's medical report from June 3. 2020, shows that his official height remained at 6'3".

  20. U

    United States US: Prevalence of Wasting: Weight for Height: Male: % of...

    • ceicdata.com
    Updated Dec 15, 2010
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    CEICdata.com (2010). United States US: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-prevalence-of-wasting-weight-for-height-male--of-children-under-5
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    Dataset updated
    Dec 15, 2010
    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, 2012
    Area covered
    United States
    Description

    United States US: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data was reported at 0.400 % in 2012. This records a decrease from the previous number of 0.500 % for 2009. United States US: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 0.650 % from Dec 1991 (Median) to 2012, with 6 observations. The data reached an all-time high of 0.800 % in 2005 and a record low of 0.400 % in 2012. United States US: 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 USA – Table US.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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Statista (2022). Average building height of distribution center networks in the U.S. 2016-2021 [Dataset]. https://www.statista.com/statistics/947267/logistics-distribution-center-network-average-height-united-states/
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Average building height of distribution center networks in the U.S. 2016-2021

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Dataset updated
Oct 7, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

This statistic depicts the average clear height of buildings in distribution center networks of warehousing and logistics providers in the United States between 2016 and 2021. During the 2021 survey, the average building height was 31.1 feet.

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