A life table follows a group, not a person
A life table is a map of how often people in a defined group die at different ages. It starts with observed death rates: for example, the share of people around a given age who died during a period. Applying those rates across ages lets actuaries estimate how many people in a hypothetical group would survive each year.
The result is a probability, not a personal forecast. A table might estimate the chance that people of a certain age survive another year, or how long a group is expected to live on average. It cannot identify which individual will die early or live unusually long.
From probabilities to insurance prices
For life insurance, the key question is how likely the insurer is to pay a claim during the policy’s term. If a group is expected to produce more claims, the insurer generally needs to collect more in premiums to cover them. If fewer claims are expected, the cost of that risk is lower.
Actuaries use relevant information to decide which statistical group best fits an applicant. Depending on the product and what the insurer is permitted to consider, that can include factors such as age, health, habits, or where someone lives. They also account for expenses and uncertainty; a premium is not simply one person’s estimated chance of dying multiplied by a payout.
Why the estimate still matters
The group-level approach lets insurers pool risk: many people pay into a common fund, while claims occur for only some of them during a given period. The table helps estimate how large that fund needs to be. Its practical power—and its limit—is the same: it can guide a price for a category of people, but it cannot tell an individual what will happen.
