Mortality Table

Example

“The insurance underwriter consulted the mortality table to determine that a healthy 40-year-old non-smoking woman has a 0.087% chance of dying within the next year.”

Memory Tip

Think 'Mortality Table = Map of Mortality' - it's like a roadmap showing death probabilities at each age.

Why It Matters

Mortality tables directly determine how much you pay for life insurance and how much income you'll receive from annuities, making them crucial for retirement planning. These tables also help you understand your statistical life expectancy, which is valuable for making informed financial decisions about insurance coverage amounts and retirement savings.

Common Misconception

People often think mortality tables predict exactly when they'll die, but they only show statistical probabilities for large groups of people. Individual factors like genetics, lifestyle, and medical advances can cause actual outcomes to differ significantly from table predictions.

In Practice

According to the 2017 CSO Mortality Table, a healthy 50-year-old male has a 0.234% chance of dying in the next year (about 2.3 deaths per 1,000 men). Based on this data, a $1 million term life policy might cost him $1,200 annually. A 50-year-old female with the same coverage would pay about $950 annually because the table shows women have a 0.152% mortality rate at that age. The insurance company uses these precise statistics to ensure they collect enough premiums to pay expected death benefits plus operating costs.

Etymology

Developed in the 17th century by English statistician John Graunt, combining 'mortality' from Latin 'mortalis' with 'table' meaning an organized chart of data.

Common Misspellings

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