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

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.

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.

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.

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.

Multi-year (2007-2013) Annual Average Wind Speed at 10 - 200 meters above the surface level.

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

Context

This data set gives average masses for women as a function of their height in a sample of American women of age 30–39.

Content

The data contains the variables

Height (m)
Weight (kg)

Acknowledgements

https://en.wikipedia.org/wiki/Simple_linear_regression

LANDFIRE's (LF) 2022 Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. CH is used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). CH supplies information for fire behavior models, such as FARSITE (Finney 1998), that can determine the starting point of embers in the spotting model, wind reductions, and the volume of crown fuels. To create this product, plot level CH values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance Canopy Cover and CH are used as predictors of disturbed CH using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and time since disturbance. CH is used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). In LF 2022, fuel products are created with LF 2016 Remap vegetation in areas that were un-disturbed in the last ten years. To designate disturbed areas where CH is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The “capable” year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php .

This statistic depicts the average body weight of U.S. females aged 20 years and over from 1999 to 2016, by ethnicity. According to the data, the average female body weight for those that identified as non-Hispanic white has increased from 161.9 in 1999-2000 to 170.9 in 2015-2016.

The accompanying dataset was produced as part of a project funded under NASA’s Terrestrial Ecology Program and titled “The National Biomass and Carbon Dataset 2000 (NBCD 2000): A High Spatial Resolution Baseline to Reduce Uncertainty in Carbon Accounting and Flux Modeling.” The main objective of the project was to generate a high-resolution (30 m), year-2000 baseline estimate of basal area-weighted canopy height, aboveground live dry biomass, and standing carbon stock for the conterminous (lower 48) United States. Development of the dataset is based on an empirical modeling approach that combines USDA Forest Service Forest Inventory and Analysis (FIA) data with high-resolution InSAR data acquired from the 2000 Shuttle Radar Topography Mission (SRTM) and optical remote sensing data acquired from the Landsat ETM+ sensor. Three-season Landsat ETM+ data were systematically compiled by the Multi-Resolution Land Characteristics Consortium (MRLC) between 1999 and 2002 for the entire U.S. and were the foundation for development of both the USGS National Land Cover Dataset 2001 (NLCD 2001) and the Landscape Fire and Resource Management Planning Tools Project (LANDFIRE). Products from both the NLCD 2001 (landcover and canopy density) and LANDFIRE (existing vegetation type) projects as well as topographic information from the USGS National Elevation Dataset (NED) are used within the NBCD 2000 project as spatial predictor layers for canopy height and biomass estimation. Forest survey data provided by the USDA Forest Service FIA program were made available to the project under a national Memorandum of Understanding. The response variables (canopy height and biomass) used in model development and validation were derived from the FIA database (FIADB). Production of the NLCD 2001 and LANDFIRE projects was based on a mapping zone approach in which the conterminous U.S. is split into 66 ecoregionally distinct mapping zones. This mapping zone approach was also adopted by the NBCD 2000 project. Height 30m resolution. Digital numbers represent the average basal area weighted height in meters * 10. Thus, the average basal area weighted height in meters = / 10.

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

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".

No description is available. Visit https://dataone.org/datasets/%7BA22E084C-6F8D-40D3-ADDF-4F190B39FC4B%7D for complete metadata about this dataset.

LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Height (EVH) represents the average height of the dominant vegetation for a 30m cell. EVH is produced separately for tree, shrub, and herbaceous lifeforms using training data depicting the average height weighted by species cover and Existing Vegetation Type (EVT) lifeform. Decision tree models using field reference data, lidar, Landsat, and ancillary data are developed separately for each lifeform, then lifeform specific height class layers are merged along with land cover into a single EVH product. EVH ranges are continuous for herbaceous lifeform ranging from 0.1 to 1 meter with decimeter increments, 0.1 to 3 meters for shrub lifeform, and 1 to 99 meters for tree lifeform. If the height values of each lifeform exceed the continuous value range, they are binned into the appropriate maximum height class. EVH is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and EVT products. Disturbance events not visible in the source imagery are accounted for by using LF Remap Annual Disturbance products. LF uses EVH as an input for LF Remap Fuel Vegetation Cover (FVH).

LANFIRE’s (LF) 2016 Remap (Remap) Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression equations derived from Forest Vegetation Simulator (FVS) plot data output, but at non-disturbed locations it is assigned the midpoint of Fuel Vegetation Height (FVH) forested classes. In some instances, LF Remap assumes the potential burnable biomass in the tree canopy has been accounted for in the surface fuel model. For example, young or short conifer stands where the trees are represented by a shrub type fuel model will not have canopy characteristics. LF Remap Annual Disturbance products are incorporated into CH to provide informed changes by disturbance type, severity, and time since disturbance (TSD). Annual Disturbance products provide a pre-disturbance scenario represented by LF Remap existing vegetation products, the reporting of pre-disturbance scenarios helps to calculate CH. Vegetat ...

A map service that depicts rangelands in the coterminous U.S., including transitional rangelands and small patch-size rangelands.

In 2022, the average height of South Korean women in their thirties was 161.86 centimeters, with women in their twenties having a very similar average height. On average, South Korean women were 158.26 centimeters tall, and older women tended to be shorter.

Average height increases slowly

The average height of women in South Korea has seen a noticeable increase over the past decade. In 2012, women in their twenties were 161.54 centimeters on average. However, the average height grew by around 0.23 centimeters in the past ten years. The change could be attributed to improvements in overall nutrition, healthcare, and living conditions in the country.

The South Korean beauty standard

In a survey, South Korean women were asked about their preferred height range, and their answers fell between 165 to 175 centimeters. Women not only have a preferred height for themselves but also for their future spouses. Single women’s ideal height for their potential husbands was at around 178.8 centimeters, while single men wished for their potential wives to be 163 centimeters tall.

In 2022, the average height of South Korean men in their thirties lay at 174.71 centimeters. Men in older age groups tended to be shorter. On average, South Korean men were 171.49 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.

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