The 'How Will You Die' Infographic Explores Causes of Death
Corinne Guirgis — September 20, 2011 — Lifestyle
References: dailyinfographic & forum.thewindowsclub
Eerie yet informative, this 'How Will You Die' Infographic breaks down the numbers on common and not-so-common causes of death in terms of various factors such as race, gender and age. Looking at age groups from 15-24 all the way to 65 and over, the graphic presents natural and unnatural causes from stroke, heart disease and diabetes to unintentional injury, suicide and homicide.
Some general conclusions are that regardless of ethnicity, those over 65 are most likely to die of heart disease and not surprisingly, those between 15 and 24 are most likely to die of unintentional injury. The graphic also ranks the least likely causes of death from most to least likely with lightening as least likely with a ratio of 1 in 84,079 people.
Implications - The collection of lifestyle statistics and information has important implications for both the present and the future. This information often reveals truths about commonly held myths and beliefs, either validating or disproving them.
Some general conclusions are that regardless of ethnicity, those over 65 are most likely to die of heart disease and not surprisingly, those between 15 and 24 are most likely to die of unintentional injury. The graphic also ranks the least likely causes of death from most to least likely with lightening as least likely with a ratio of 1 in 84,079 people.
Implications - The collection of lifestyle statistics and information has important implications for both the present and the future. This information often reveals truths about commonly held myths and beliefs, either validating or disproving them.
Trend Themes
1. Death Statistics Analysis - Analyzing death statistics can provide valuable insights into common causes of death across various demographics.
2. Myth-busting Data - Collecting lifestyle statistics can help debunk commonly held myths and beliefs surrounding causes of death.
3. Predicting Mortality - Using demographic factors to predict causes of death can aid in creating targeted interventions and prevention strategies.
Industry Implications
1. Healthcare - The healthcare industry can leverage death statistics analysis to develop better strategies for disease prevention and management.
2. Insurance - Insurance companies can use mortality prediction models based on demographic factors to assess risk and offer personalized policies.
3. Public Health - Public health organizations can utilize myth-busting data to educate and raise awareness about the actual causes of death.
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