
Actuarial Life Table
An actuarial life table is a table or spreadsheet that shows the probability of a person at a certain age dying before their next birthday. The two tables are the period life table (to determine mortality rates for a specific time period of a defined population) and the cohort life table (used to represent the overall mortality rates of a certain population's entire lifetime). Insurance companies use actuarial life tables to primarily make two types of predictions: the probability of surviving any particular year of age and the remaining life expectancy for people of different ages. Actuarial life tables also play an important role in the sciences of biology and epidemiology. In addition, the Social Security Administration in the United States uses actuarial life tables to examine the mortality rates of people who have Social Security in order to inform certain policy decisions or actions. Actuarial life tables are also important in product life cycle management and for pension calculations. An actuarial life table is also called a mortality table, life table, or actuarial table.

What Is an Actuarial Life Table?
An actuarial life table is a table or spreadsheet that shows the probability of a person at a certain age dying before their next birthday. It is used often by life insurance companies.
These statistics calculate the remaining life expectancy for people at different ages and stages, and the probability of surviving a particular year of age.
Because men and women have different mortality rates, an actuarial life table is computed separately for men and women. An actuarial life table is also called a mortality table, life table, or actuarial table.





How an Actuarial Life Table Works
Insurance companies utilize actuarial life tables to help price products and project future insured events. Mathematically and statistically based actuarial life tables assist insurance companies by showing event probabilities, such as death, sickness, and disability.
An actuarial life table can also include factors to differentiate variable risks such as smoking, occupation, socio-economic status, and even gambling, and debt load. Computerized predictive modeling allows actuaries the ability to calculate for a wide variety of circumstances and probable outcomes.
Actuarial Science
Actuarial science uses primarily two types of life tables. First, the period life table is used to determine mortality rates for a specific time period of a certain population. The other type of actuarial life table is called the cohort life table, also referred to as a generation life table. It is used to represent the overall mortality rates of a certain population's entire lifetime.
Actuarial life tables for men and women are computed differently due to the discrepancy of life expectancies for each gender.
The population selection must be born during the same specific time interval. A cohort life table is more commonly used because it attempts to predict any expected change in mortality rates of a population in the future.
A cohort table also analyzes observable mortality patterns over time. Both types of actuarial life tables are based on actual populations of the present and educated predictions of a population's near future. Other types of life tables may be based on historical records. These types of life tables often undercount infants and understate infant mortality.
Insurance companies use actuarial life tables to primarily make two types of predictions: the probability of surviving any particular year of age and the remaining life expectancy for people of different ages.
Other Uses of Actuarial Life Tables
Actuarial life tables also play an important role in the sciences of biology and epidemiology. In addition, the Social Security Administration in the United States uses actuarial life tables to examine the mortality rates of people who have Social Security in order to inform certain policy decisions or actions.
Actuarial life tables are also important in product life cycle management and for pension calculations.
Related terms:
Actuarial Assumption
An actuarial assumption is an estimate of an uncertain variable input into a financial model for the purposes of calculating premiums or benefits. read more
Actuarial Risk
Actuarial risks are the risks that assumptions actuaries implement into pricing models may turn out to be wrong or somewhat inaccurate. read more
Aggregate Mortality Table
Aggregate Mortality Table is data on the death rate of everyone who has purchased life insurance, without categorization based on age or time of purchase. read more
Debt Load
Debt load refers to the total amount of debt that a company is carrying on its books, which can be found on its balance sheet. read more
Life Expectancy
Life expectancy is defined as the age to which a person is expected to live, or the remaining number of years a person is expected to live. read more
Life Insurance Guide to Policies and Companies
Life insurance is a contract in which an insurer, in exchange for a premium, guarantees payment to an insured’s beneficiaries when the insured dies. read more
Mortality Table
A mortality table shows the rate of deaths occurring in a defined population during a selected time interval or survival from birth to any given age. read more
Ultimate Mortality Table
An ultimate mortality table lists the percentage of life insurance policyholders, bar recent additions, expected to still be alive at each given age. read more
Yearly Probability of Living
The yearly probability of living is a statistic that measures the likelihood that a given person, or group of people, will survive for one more year. read more