Underlying Mortality Assumption

Underlying Mortality Assumption

Underlying mortality assumptions are projections of expected death rates used by actuaries to estimate insurance premiums and pension obligations. Because of the critical importance of the underlying mortality assumption, actuaries have to follow guidelines set by pension and insurance regulators in deciding on an appropriate assumption, also called the mortality assumption. The underlying mortality assumption is a key variable in estimating life expectancies, which in turn determines the cost of insurance for an insurer and the long-term obligations of a pension fund. Conversely, if the underlying mortality assumption is too high, the actuary may underestimate life expectancies of the pension plan members and hence, the long-term obligations of the pension fund. If the underlying mortality assumption is too low, a life insurer may underestimate the actual cost of insurance and may have to pay out more in death benefit claims than it had forecast.

Underlying mortality assumptions are the modeled projections of expected death rates used by actuaries.

What Is an Underlying Mortality Assumption?

Underlying mortality assumptions are projections of expected death rates used by actuaries to estimate insurance premiums and pension obligations.

This is based on mortality tables, which are statistical tables of expected annual mortality rates. Because of the critical importance of the underlying mortality assumption, actuaries have to follow guidelines set by pension and insurance regulators in deciding on an appropriate assumption, also called the mortality assumption.

Underlying mortality assumptions are the modeled projections of expected death rates used by actuaries.
Underlying mortality assumptions are used to estimate insurance premiums and pension obligations.

Understanding the Underlying Mortality Assumption

The underlying mortality assumption is a key variable in estimating life expectancies, which in turn determines the cost of insurance for an insurer and the long-term obligations of a pension fund. If the underlying mortality assumption is too low, a life insurer may underestimate the actual cost of insurance and may have to pay out more in death benefit claims than it had forecast. Conversely, if the underlying mortality assumption is too high, the actuary may underestimate life expectancies of the pension plan members and hence, the long-term obligations of the pension fund.

Mortality in the United States

For most people, death is the last thing they want to think about. For life insurers and pension administrators, it's the first thing they think about. Any good actuary can tell you that people often misjudge the statistics about mortality. They don't understand that mortality at birth and mortality in advanced age are two different things. 

According to the Centers for Disease Control 2019 data, there were 2,854,838 deaths in the U.S. and a death rate of 869.7 deaths per 100,000 population. Life expectancy at birth was 78.8 years, and the infant mortality rate was 5.58 deaths per 1,000 live births.

The leading causes of death: heart disease, 659,041; cancer, 599,601; accidents (unintentional injuries), 173,040; chronic lower respiratory diseases, 156,979; stroke (cerebrovascular diseases), 150,005; Alzheimer’s disease, 121,499; diabetes, 87,647; nephritis, nephrotic syndrome and nephrosis, 51,565; influenza and pneumonia, 49,783; and intentional self-harm (suicide), 47,511.

For males, life expectancy changed from 76.2 in 2018 to 76.3 in 2019; for females, life expectancy increased from 81.2 to 81.4. The life expectancy for females was consistently higher than it was for males. In 2019, the difference in life expectancy between females and males increased by 0.1 years from 5.0 years in 2018 to 5.1 years in 2019.

Once you make it to advanced age, a new set of statistics comes into play, the CDC noted: "In 2019, life expectancy at age 65 for the total population was 19.6 years, an increase of 0.1 year from 2018. For males, life expectancy at age 65 increased 0.1 year from 18.1 in 2018 to 18.2 in 2019. For females, life expectancy at age 65 increased 0.1 year from 20.7 years in 2018 to 20.8 in 2019."

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

Actuary

An actuary is a professional who assesses and manages the risks of financial investments, insurance policies, and other potentially risky ventures. 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

Death Benefit

A death benefit is a payout to the beneficiary of a life insurance policy, annuity or pension when the insured or annuitant dies. 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

Longevity Risk

Longevity risk is risk to which a pension fund or life insurance company could be exposed as a result of higher-than-expected payout ratios. read more

Pension Plan

A pension plan is an employee benefit that commits the employer to make regular payments to the employee in retirement. read more

Valuation Mortality Table

Valuation Mortality Table is a statistical chart used by insurers to calculate the statutory reserve and cash surrender values of life insurance policies.  read more