In comparison, for a girl of the same age the odds of dying are 1 in 5,952.
A 13-year-old boy faces the odds of dying at 1 in 3,679. To better understand these odds, we can examine some of the common and uncommon causes of death, as well as compare the odds with other ages and sexes.
For a 13-year-old boy, suicide poses the most significant risk, with odds standing at 1 in 19,807. Other relatively common causes include assault by firearm (1 in 45,202) and car crashes (1 in 80,506).
Uncommon causes range from drowning (1 in 1,193,757), to being struck by lightning (1 in 1,724,700), and even accidental suffocation and strangulation in bed (1 in 2,227,712).
When we compare these odds to those of a 13-year-old girl, who faces odds of 1 in 5,952, we see that boys of the same age face higher risks. A 12-year-old boy has slightly better odds at 1 in 4,858, while the odds increase for a 14-year-old boy to 1 in 2,659.
However, it's essential to understand these numbers in the context of the general population and life stages. By understanding these risks, we can better support young people's health and safety, and navigate the world more informed.
Cause | Odds |
---|---|
Suicide | 1 in 19,807 |
Assault by firearm | 1 in 45,202 |
Car crash | 1 in 80,506 |
Bicycle rider accident | 1 in 184,196 |
Asthma | 1 in 309,523 |
Motorcycle rider accident | 1 in 315,187 |
Stroke | 1 in 402,186 |
Exposure to smoke, fire and flames | 1 in 429,893 |
Sepsis | 1 in 520,821 |
Pneumonia | 1 in 595,365 |
Flu | 1 in 716,982 |
AIDS | 1 in 1,007,337 |
Drowning | 1 in 1,193,757 |
Plane crash | 1 in 1,249,178 |
Alcohol | 1 in 1,600,709 |
Lightning | 1 in 1,724,700 |
Emphysema | 1 in 2,104,928 |
Earthquake | 1 in 2,128,065 |
Bitten or struck by a dog | 1 in 2,134,771 |
Fall from bed, chair or other furniture | 1 in 2,134,771 |
Flood | 1 in 2,151,552 |
Coronavirus | 1 in 2,155,552 |
Whooping cough | 1 in 2,176,749 |
Accidental suffocation and strangulation in bed | 1 in 2,227,712 |
Fall from stairs and steps | 1 in 2,256,394 |
Look at another combination of age and sex and the odds of dying